Downloads: A PDF of this resource will be available soon.
Who is this article for?: This article should be read by educators at all levels of higher education looking to highlight the connection between complex systems and sustainability within engineering learning.
Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness. A free spreadsheet version of the framework can be downloaded.
This resource relates to the Systems Thinking, Life Cycles, Capability Engineering, Systems Modelling and Analysis, and Design INCOSE competencies.
AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach(essential to the solution of broadly-defined problems). In addition, this resource addresses AHEP themes of Materials, equipment, technologies and processes, and Sustainability.
Several sustainability challenges, such as transitioning to a circular economy, are embedded in complex socio-technical systems. A circular economy is an economic model that replaces the linear take-make-dispose pattern with systems that keep materials and products in use for longer through designing for durability, reuse, remanufacturing, and recycling, while minimising waste and regenerating natural systems (Rizos, Tuokko, and Behrens, 2017).
Complex systems like these exhibit feedback loops, delays, non-linear change, path dependence and emergent behaviour (Sterman, 2000; Meadows, 2008). This article introduces the idea of systems-based interventions using the example of aluminium recycling systems. It is designed for engineering educators who plan to provide learners with a baseline understanding of complexity and practical entry points for designing and developing and evaluating interventions that can move a system towards sustainability.
Complexity of aluminium recycling systems:
Aluminium is infinitely recyclable, yet achieving truly closed material loops at scale remains a challenge. Most of today’s recycling occurs in situations where post-consumer scrap is collected from a wide variety of end-of-life products and the boundaries of the recycling system are difficult to define and control. This creates high variability in both the composition and the quality of recovered aluminium, since different products contain different alloys and levels of contamination (IRT M2P, 2023). At the same time, the volume of available scrap is difficult to predict, as it depends on product lifespans and consumer behaviour. These fluctuations make it harder for producers to plan and optimise secondary aluminium output, particularly when industries rely on consistent standards or just-in-time manufacturing.
The recycling system is also shaped by broader economic and regulatory forces. On the one hand, demand for low-carbon materials and the cost advantage of recycled over primary aluminium are powerful drivers of growth. On the other hand, the system faces constraints from volatile scrap prices and shifting global trade dynamics, such as U.S. tariffs on aluminium imports. Meanwhile, new policy instruments are adding further complexity. The EU’s Carbon Border Adjustment Mechanism (CBAM) is set to reshape trade flows and investment patterns, while the forthcoming Digital Product Passport (DPP) will transform how information is shared across the value chain. Together, these forces influence technologies, markets and business models, underscoring the dynamic and interconnected nature of aluminium recycling.
These interconnected factors highlight aluminium recycling as a complex socio-technical system, in which technological capabilities, market incentives, policy frameworks, and global trade are deeply interconnected. For educators, this makes aluminium an effective example for teaching students how multiple forces interact to create both opportunities and challenges for sustainable engineering.
Intervention from systems perspective:
System Dynamics (SD), first formalised byForrester (1968), has proven to be a highly valuable approach for understanding and managing complex resource and recovery systems. SD is an interdisciplinary approach, drawing on insights from psychology, organisational theory, economics, and related fields (Sterman, 2000). More supporting information about SD pedagogical tools and techniques can be found through the System Dynamics Society and Insight Maker.
From a systems perspective, interventions are not isolated events but strategic effort to influence system behaviour by targeting its structure and dynamics. A key concept here is leverage points – places within a complex system where small changes can lead to significant, systemic effects (Meadows, 1999). Meadows identified twelve types of leverage points, ranging from adjusting parameters to transforming the system’s underlying goals and paradigms, proving a conceptual framework for identifying impactful intervention.
Figure 1. Donella Meadows’ leverage points (Source: based on Meadows (1999); credit: UNDP/Carlotta Cataldi; reproduced fromBovarnick and Cooper (2021))
Exploration of potential leverage points:
System Dynamics (SD) tools such as Causal Loop Diagrams (CLDs) can help explore leverage points. CLDs can help visualise main components of a system and their interdependencies, making complex dynamics easier to understand. Besides, the process of building a CLD or more computational SD model encourages practitioners to clarify system boundaries, relationships, and drivers, laying the foundation for identifying leverage points.
For example, a CLD of aluminium recycling might capture how classification and sorting processes influence scrap quality, which then affects remelting efficiency and ultimately market uptake of recycled alloys (see Figure 2 below).
Figure 2. The causal loop diagram for auto aluminium recycling (Liu et al., 2025)
By tracing these circular cause-and-effect relationships, learners can see where interventions may ripple through the system. Highlighting reinforcing loops, balancing loops, and delays also shows why some interventions produce limited short-term results but more substantial long-term effects.
Leverage points can also be examined through the lens of information, rules, and goals. Improved information flows, such as those enabled by the Digital Product Passport, could reshape how scrap is sorted and valued. Rules, such as alloy specifications or trade tariffs, determine what types of recycled material can enter the market. At a deeper level, the goals of the system, whether to maximise throughput or to retain material value, fundamentally shape behaviour. Here too, CLDs are valuable because they allow users to visualise how changes to information, rules, or goals can shift system dynamics, providing a clearer picture of where interventions might be most effective.
Implication for educators:
This article equips educators with a focused, practical pathway to teach systems thinking through the example of aluminium recycling. Students can gain both conceptual understanding and hands-on skills to map feedback loops, identify delays, and design interventions that account for short-term trade-offs and long-term system behaviour. Teaching a single clear CLD followed by one modelling or scenario activity produces measurable learning gains while keeping the task accessible for beginners.
Educational approach:
Prioritise structure before solutions: have students map feedback loops and delays before proposing fixes.
Use one classroom-ready CLD as the anchor activity and one hands-on modelling task to test interventions.
Emphasise leverage thinking: move from parameter tweaks to information, rules, goals and paradigms as students mature.
Keep language simple and concrete: avoid jargon, introduce terms with examples, and reuse the same CLD across activities.
Use open-access tools (Insight Maker, Loopy, Vensim PLE) so students can visualise and experiment without software barriers.
Focus assessment on reasoning about system behaviour and predicted long-term effects rather than exact numerical answers.
Potential related learning outcomes within this topic:
Define stocks, flows, feedback loops, delays, reinforcing and balancing loops.
Explain why aluminium recycling is a complex socio-technical system influenced by technology, markets, policy, and information.
Construct a simple CLD for an aluminium recycling pathway and identify at least two reinforcing and one balancing loop.
Identify two leverage points and justify which one to prioritise, citing anticipated short- and long-term system effects.
Translate the CLD into a basic stock-and-flow sketch in an open-access tool and run one scenario to compare outcomes.
Further resources:
European Commission: Joint Research Centre, Environmental and socio-economic impacts of the circular economy transition in the EU cement and concrete sector – Analysing plastics material flows with life cycle-based and macroeconomic assessment models, Publications Office of the European Union, 2025, https://data.europa.eu/doi/10.2760/6579506
The Complexity and Interconnectedness of Circular Cities and the Circular Economy for Sustainability — analysis of research themes and networked interactions relevant for urban/material systems; useful for teaching complexity and cross-sector links. https://onlinelibrary.wiley.com/doi/pdf/10.1002/sd.2766
Bovarnick, A. and Cooper, S. (2021) “From what to how: rethinking food systems interventions,” Agriculture for Development. Edited by K. Hussein, 22 April, pp. 49–53.
Forrester, J.W. (1968) “Industrial Dynamics—After the First Decade,” Management Science, 14(7), pp. 398–415. Available at: https://doi.org/10.1287/mnsc.14.7.398.
Liu, M., Schneider, K., Litos, L., Salonitis, K., 2025. Enhancing Secondary Aluminium Supply: Optimising Urban Mining Through a Systems Thinking Approach, in: Edwards, L. (Ed.), Light Metals 2025. Springer Nature Switzerland, Cham, pp. 1273–1279.
Meadows, D.H. (1999) Leverage Points – Places to Intervene in a System, The Sustainability Institute.
Meadows, D.H. (2008) Thinking in systems: A primer. White River Junction, VT: Chelsea Green Publishing Company.
Sterman, J. (2000) “Business Dynamics, System Thinking and Modeling for a Complex World.” Available at: http://hdl.handle.net/1721.1/102741 (Accessed: September 4, 2025).
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Relevant disciplines:Energy engineering; Chemical engineering; Process systems engineering; Mechanical engineering; Industrial engineering.
Keywords: Available soon.
Licensing:This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. It is based upon the author’s 2025 article “A Simulation Tool for Pinch Analysis and Heat Exchanger/Heat Pump Integration in Industrial Processes: Development and Application in Challenge-based Learning”. Education for Chemical Engineers 52, 141–150.
Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness. A free spreadsheet version of the framework can be downloaded.
This resource relates to the Systems Thinking, Systems Modelling and Analysis and Critical Thinking INCOSE competencies.
AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach (essential to the solution of broadly-defined problems). In addition, this resource addresses the themes of Science, mathematics and engineering principles; Problem analysis; and Design.
Educational level: Intermediate.
Educational aim:To equip learners with the ability to model, analyse, and optimise pathways for industrial decarbonisation through a complex-systems lens – integrating technical, economic, and policy dimensions – while linking factory-level design decisions to wider value-chain dynamics, multi-stakeholder trade-offs, and long-term sustainability impacts.
Learning and teaching notes:
This teaching activity explores heat integration for the decarbonisation of industrial processes through the lens of complex systems thinking, combining simulation, systems-level modelling, and reflective scenario analysis. It is especially useful in modules related to energy systems, process systems, or sustainability.
Learners analyse a manufacturing site’s energy system using a custom-built simulation tool to explore the energy, cost and carbon-emission trade-offs of different heat-integration strategies. They also reflect on system feedback, stakeholder interests and real-world resilience using causal loop diagrams and role-played decision frameworks.
This activity frames industrial heat integration as a complex adaptive system, with interdependent subsystems such as process material streams, utilities, technology investments and deployments, capital costs, emissions, and operating constraints.
Learners run the simulation tool to generate outputs to explore different systems integration strategies: pinch-based heat recovery by heat exchangers, with and without heat pump-based waste heat upgrade. Screenshots of the tool graphical user interface are attached as separate files:
The learning is delivered in part, through active engagement with the simulation tool. Learners interpret the composite and grand composite curves and process tables, to explore how system-level outcomes change across various scenarios. Learners explore, using their generated simulation outputs, how subsystems (e.g. hot and cold process streams, utilities) interact nonlinearly and with feedback effects (e.g., heat recovery impacts), shaping global system behaviour and revealing leverage points and emergent effects in economics, emissions and feasibility.
Using these outputs as a baseline, and exploring other systems modelling options, learners evaluate trade-offs between heat recovery, capital expenditure (CAPEX), operating costs (OPEX), and carbon emissions, helping them develop systems-level thinking under constraints.
The activity embeds scenario analysis, including causal loop diagrams, what-if disruption modelling, and stakeholder role-play, using multi-criteria decision analysis (MCDA) to develop strategic analysis and systems mapping skills. Interdisciplinary reasoning is encouraged across thermodynamics, economics, optimisation, engineering ethics, and climate policy, culminating in reflective thinking on system boundary definitions, trade-offs, sustainability transitions and resilience in industrial systems.
Learners have the opportunity to:
Analyse non-linear interactions in thermodynamic systems.
Reconcile conflicting demands (e.g. energy savings vs costs vs emissions vs technical feasibility) using data generated from real system simulation.
Model and interpret feedback-driven process systems using pinch analysis, heat recovery via heat exchangers, and heat upgrade via heat pump integration.
Explore emergent behaviour, trade-offs, and interdisciplinary constraints.
Navigate system uncertainties by simulation data analysis and scenario thinking.
Understand the principles of heat integration using pinch analysis, heat exchanger networks, and heat pump systems, framed within complex industrial systems with interdependent subsystems.
Evaluate decarbonisation strategies and their performances in terms of energy savings, CAPEX/OPEX, carbon reduction, and operational risks, highlighting system-level trade-offs and nonlinear effects
Develop data-driven decision-making, navigating assumptions, parameter sensitivity, and model limitations, reflecting uncertainty and systems adaptation.
Explore ethical, sustainability, and resilience dimensions of engineering design, recognising how small changes or policy shifts may act on leverage points and produce emergent behaviours.
Analyse stakeholder dynamics, policy impacts, and uncertainty as part of the broader system environment influencing energy transition pathways.
Construct and interpret causal loop diagrams (CLDs), explore what-if scenarios, and apply multi-criteria decision analysis (MCDA), building competencies in feedback loops, system boundaries, and systems mapping.
Teachers have the opportunity to:
Embed systems thinking and complex systems pedagogy into energy and process engineering, using real-world simulations and data-rich problem-solving.
Introduce modelling and scenario-based reasoning, helping students understand how interactions between process units, energy streams, and external factors affect industrial decarbonisation.
Facilitate exploration of design trade-offs, encouraging learners to consider technical feasibility, economic sustainability, and environmental constraints within dynamic system contexts.
Support students in identifying leverage points, feedback loops, and emergent behaviours, using tools like CLDs, composite curves, and stakeholder role play.
Assess complex problem-solving capacity, including students’ ability to model, critique and adapt industrial systems under conflicting constraints and uncertain futures.
Proprietary Simulator for Pinch Analysis & Heat Integration. Freely available for educational use and can be accessed online through a secure link provided by the author on request (james.atuonwu@nmite.ac.uk or james.atuonwu@gmail.com). No installation or special setup is required; users can access it directly in a web browser.
About the simulation tool (access and alternatives):
This activity uses a Streamlit-based simulation tool, supported with process data (Appendix A, Table 1, or an educator’s equivalent). The tool is freely available for educational use and can be accessed online through a secure link provided by the author on request (james.atuonwu@nmite.ac.uk or james.atuonwu@gmail.com). No installation or special setup is required; users can access it directly in a web browser.The activity can also be replicated using open-source or online pinch analysis tools such as OpenPinch, PyPinchPinCH, TLK-Energy Pinch Analysis Online. SankeyMATIC can be used for visualising energy balances and Sankey diagrams.
Pinch Analysis, a systematic method for identifying heat recovery opportunities by analysing process energy flows, forms the backbone of the simulation. A brief explainer and further reading are provided in the resources section. Learners are assumed to have prior or guided exposure to its core principles. A key tunable parameter in Pinch Analysis, ΔTmin, represents the minimum temperature difference allowed between hot and cold process streams. It determines the required heat exchanger area, associated capital cost, controllability, and overall system performance. The teaching activity helps students explore these relationships dynamically through guided variation of ΔTmin in simulation, reflection, and trade-off analysis, as outlined below.
Introducing and prioritising ΔTmin trade-offs:
ΔTmin is introduced early in the activity as a critical decision variable that balances heat recovery potential against capital cost, controllability, and safety. Students are guided to vary ΔTmin within the simulation tool to observe how small parameter shifts affect utility demands, exchanger area, and overall system efficiency. This provides immediate visual feedback through the composite and grand composite curves, helping them connect technical choices to system performance.
Educators facilitate short debriefs using the discussion prompts in Part 1 and simulation-based sensitivity analysis in Part 2. Students compare low and high ΔTmin scenarios, reasoning about implications for process economics, operability, and energy resilience.
This experiential sequence allows learners to prioritise competing factors (technical, economic, and operational), while recognising that small changes can create non-linear, system-wide effects. It reinforces complex systems principles such as feedback loops and leverage points that govern industrial energy behaviour.
Data for decisions:
The simulator’s sidebar includes some default values for energy prices (e.g. gas and electricity tariffs) and emission factors (e.g. grid carbon intensity), which users can edit to reflect their own local or regional conditions. For those replicating the activity with other software tools, equivalent calculations of total energy costs, carbon emissions and all savings due to heat recovery investments can be performed manually using locally relevant tariffs and emission factors.
The Part 1–3 tasks, prompts, and assessment suggestions below remain fully valid regardless of the chosen platform, ensuring flexibility and accessibility across different teaching contexts.
Educator support and implementation notes:
The activity is designed to be delivered across 3 sessions (6–7.5 hours total), with flexibility to adapt based on depth of exploration, simulation familiarity, or group size. Each part can be run as a standalone module or integrated sequentially in a capstone-style format.
Part 1: System mapping: (Time: 2 to 2.5 hours) – Ideal for a classroom session with blended instruction and group collaboration:
This stage introduces students to the foundational step of any heat integration analysis: system mapping. The aim is to identify and represent energy-carrying streams in a process plant, laying the groundwork for further system analysis. Educators may use the Process Flow Diagram of Fig. 1, Appendix A (from a real industrial setting: a food processing plant) or another Process Diagram, real or fictional. Students shall extract and identify thermal energy streams (hot/cold) within the system boundary and map energy balances before engaging with software to produce required simulation outputs.
Key activities and concepts include:
Defining system boundaries: Focus solely on thermal energy streams, ignoring non-thermal operations. The boundary is drawn from heat sources (hot streams) to heat sinks (cold streams).
Identifying hot and cold streams: Students classify process material streams based on whether they release or require heat. Each stream is defined by its inlet and target temperatures and its heat capacity flow rate (CP).
Building the stream table: Students compile a simple table of hot/cold streams (name, supply temperature, target temperature and heat capacity flow CP).
Constructing energy balances and Sankey Diagrams: Students manually calculate energy balances across each subsystem in the defined system boundary, identifying energy inputs, useful heat recovery, and losses. Using this information, they construct Sankey diagrams to visualise the magnitude and direction of energy flows, strengthening their grasp of system-wide energy performance before optimisation.
Pinch Concept introduction: Students are introduced to the concept of “the Pinch”, including the minimum heat exchanger temperature difference (ΔTmin) and how it affects heat recovery targets (QREC), as well as overall heating and cooling utility demands (QHU & QCU, respectively).
Assumptions: All analysis is conducted under steady-state conditions with constant CP and no heat losses.
Discussion prompts:
What insights does the Sankey diagram reveal about energy use, waste and recovery potential in the system? How might these visual insights shape optimisation decisions?
Why might certain streams be excluded from the analysis?
How does the choice of ΔTmin influence the heat recovery potential and cost?
What trade-offs are involved in system simplification during mapping?
How can assumptions (like steady-state vs. transient) impact integration outcomes?
Student deliverables:
A labelled system map showing the thermal process boundaries, hot and cold streams.
A structured stream data table.
Justification for selected ΔTmin values based on process safety, economics, or practical design and operational considerations.
A basic Sankey diagram representing the energy flows in the mapped system, based on calculated heat duties of each stream.
Part 2: Running and interpreting process system simulation results (Time: 2 to 2.5 hours) – Suitable for lab or flipped delivery;only standard computer access is needed to run the tool (optional instructor demo can extend depth):
Students use the simulation tool to generate their own results.The process scenario of Fig. 1, Appendix A, with the associated stream data (Table 1) can be used as a baseline.
Tool-generated outputs:
Curves: Composite and Grand Composite (pinch location, recovery potential).
Scenario summary: QREC, QHU, QCU; COP (where applicable); CAPEX/OPEX/CO₂; payback period for various values of system levers (e.g., ΔTmin levels, tariffs, emission factors).
Heat Pump (HP) tables: Feasible pairs, Top-N heat pump selections (where N = 0, 1, or 2); QEVAP, QCOND, QCOMP, COP. All notations are designated in the simulator’s help/README section.
Learning tasks:
1. Scenario sweeps Run different scenarios (e.g., different ΔTmin levels, tariffs, emission factors, and Top-N HP selections). Prompts: How do QREC, QHU/QCU, HX area, and CAPEX/OPEX/CO₂ shift across scenarios? Which lever moves the needle most?
2. Group contrast (cases A vs B: see time-phased operations A & B in Appendix A) Assign groups different cases; each reports system behaviours and trade-offs. Prompts: Where do you see CAPEX vs. energy-recovery tension? Which case is more HP-friendly and why?
3. Curve reading Use the Composite & Grand Composite Curves to identify pinch points and bottlenecks; link features on the curves to the tabulated results. Prompts: Where is the pinch? How does ΔTmin change the heat-recovery target and utility demands?
4. Downstream implications Trace how curve-level insights show up in HX sizing/costs and HP options. Prompts: When does adding HP reduce utilities vs. just shifting costs? Where do stream temperatures/CP constrain integration?
5. Systems lens: feedback and leverage Map short causal chains from the results (e.g., tariffs → HP use → electricity cost → OPEX; grid-carbon → HP emissions → net CO₂). Prompts: Which levers (ΔTmin, tariffs, EFs, Top-N) create reinforcing or balancing effects?
Outcome:
Students will be able to generate and interpret industrial simulation outputs, linking technical findings to economic and emissions consequences through a systems-thinking lens. They begin by tracing simple cause–effect chains from the simulation data and progressively translate these into causal loop diagrams (CLDs) that visualise reinforcing and balancing feedback. Through this, learners develop the ability to explain how system structure drives performance both within the plant and across its broader industrial and policy environment.
Optional extension: Educators may provide 2–3 predefined subsystem options (e.g., low-CAPEX HX network, high-COP HP integration, hybrid retrofit) for comparison. Students can use a decision matrix to justify their chosen configuration against CAPEX, OPEX, emissions, and controllability trade-offs.
Part 3: Systems thinking through scenario analysis (Time: 2 to 2.5 hours) – Benefits from larger-group facilitation, a whiteboard or Miro board (optional), and open discussion. It is rich in systems pedagogy:
Having completed simulation-based pinch analysis and heat recovery planning, learners now shift focus to strategic implementation challenges faced in real-world industrial settings. In this part, students apply systems thinking to explore the broader implications of their heat integration simulation output scenarios, moving beyond process optimisation to consider real-world dynamics, trade-offs, and stakeholder interactions. The goal is to encourage students to interrogate the interconnectedness of decisions, feedback loops, and unintended consequences in process energy systems including but not limited to operational complexity, resilience to disruptions, and alignment with long-term sustainability goals.
Activity: Stakeholder role play / Multi-Criteria Decision Analysis Students take on stakeholder roles and debate which design variant or operating strategy should be prioritised. They then conduct a Multi-Criteria Decision Analysis (MCDA), evaluating each option based on criteria such as CAPEX, OPEX savings, emissions reductions, risk, and operational ease.
Stakeholders include:
Operations managers, focused on ease of control and process stability.
Investors and finance teams, focused on return on investment.
Environmental officers, concerned with emissions and policy compliance.
Engineers, responsible for design and retrofitting.
Community members, advocating for sustainable industry practices.
Government reps responsible for regulations and policy formulation, e.g. taxes and subsides.
The team must present a strategic analysis showing how the heat recovery system behaves as a complex adaptive system, and how its implementation can be optimised to balance technical, financial, environmental, and human considerations.
Optional STOP for questions and activities:
Before constructing causal loop diagrams (CLDs), learners revisit key results from their simulation — such as ΔTmin, tariffs, emission factors, and system costs — and trace how these parameters interact to influence overall system performance. Educators guide this transition, helping students abstract quantitative outputs (e.g., changes in QREC, OPEX, or CO₂) into qualitative feedback relationships that reveal cause-and-effect chains. This scaffolding helps bridge the gap between process simulation and systems-thinking representation, supporting discovery of reinforcing and balancing feedback structures.
Activity: Construct a causal loop diagram (CLD) Students identify at least five variables that interact dynamically in the implementation of a heat integration system (e.g. energy cost, investment risk, emissions savings, system complexity, staff training). They must map reinforcing and balancing feedback loops that illustrate trade-offs or virtuous cycles.
Where could policy or process changes trigger leverage points?
How could delays in response (e.g. slow staff adaptation to new technologies) affect outcomes?
How might design choices affect local energy equity, air quality, or community outcomes?
What policy incentives or ethical trade-offs might reinforce or hinder your proposed solution?
Instructor debrief (engineering context with simulation linkage): After students share their CLDs, the educator facilitates a short discussion linking their identified reinforcing and balancing loops to common dynamic patterns observable in the simulation results. For instance:
Limits to growth: As ΔTmin decreases, heat recovery (QREC) initially improves, but exchanger area, CAPEX, and controllability demands grow disproportionately — diminishing overall economic benefit.
Shifting the burden: Installing a heat pump may appear to improve carbon performance, but if low process efficiency remains unaddressed, electricity use and OPEX rise — creating a new dependency that shifts rather than solves the problem.
Tragedy of the commons: Competing units or stakeholders optimising locally (e.g. for their own OPEX or production uptime) can undermine total system efficiency or resilience.
Success to the successful: Design options with early financial or policy support (e.g. high-COP heat pumps) attract more investment and attention, reinforcing a positive but unequal feedback loop.
This reflection connects quantitative model outputs (e.g. QREC, OPEX, CAPEX, emissions) to qualitative system behaviours, helping learners recognise leverage points and understand how design choices interact across technical, economic, and social dimensions of decarbonisation.
Activity: Explore “What if?” scenarios
Working in groups, students choose one scenario to explore using a systems lens:
What if gas prices fluctuate drastically?
What if capital funding is delayed by 6 months?
What if a heat exchanger fouls during peak season?
What if CO₂ emissions policy tightens?
What if current electricity grid decarbonisation trends suffer an unexpected setback?
What if government policies now encourage onsite renewable electricity generation?
Each group evaluates the resilience and flexibility of the proposed integration design. They consider:
System bottlenecks and fragilities.
Leverage points for intervention.
Need for redundancy or modular design.
Educators may add advanced scenarios (e.g. carbon tax introduction, supplier failure, or project delay) to challenge students’ resilience modelling and stakeholder negotiation skills.
Stakeholder impact reflection:
To extend systems reasoning beyond the technical domain, students assess how their chosen design scenarios (e.g., low vs. high ΔTmin, with or without heat pump integration) affect each stakeholder group. For instance:
Operations managers assess control complexity, downtime risk, and maintenance implications.
Finance teams evaluate CAPEX/OPEX trade-offs and payback periods.
Environmental officers examine lifecycle emissions and regulatory compliance.
Engineers reflect on reliability, retrofit feasibility, and process safety.
Community members or regulators consider social and policy outcomes, such as visible sustainability impact or energy equity.
Each team member rates perceived benefits, risks, or compromises under each design case, and the results are summarised in a stakeholder impact matrix or discussion table. This exercise links quantitative system metrics (energy recovery, emissions, cost) to qualitative stakeholder outcomes, reinforcing the “multi-layered feedback” perspective central to complex systems analysis.
Learning Outcomes (Part 3):
By the end of this part, students will be able to:
Identify systemic interdependencies in industrial energy systems.
Analyse how feedback loops and delays influence system behaviour.
Assess the resilience of energy integration solutions under different future scenarios.
Balance multiple stakeholder objectives in complex engineering contexts.
Apply systems thinking tools to communicate complex technical scenarios to diverse stakeholder audiences.
Use systems diagrams and decision tools to support strategic analysis.
Instructor Note – Guiding CLD and archetype exploration:
Moving from numerical heat-exchange and cost data to CLD archetypes can be conceptually challenging. Instructors are encouraged to model this process by identifying at least one reinforcing loop (e.g. “energy savings → lower OPEX → more investment in recovery → further savings”) and one balancing loop (e.g. “higher capital cost → reduced investment → lower heat recovery”). Relating these loops to common system archetypes such as “Limits to Growth” or “Balancing with Delay” helps students connect engineering data to broader system dynamics and locate potential leverage points. The activity concludes with students synthesising their findings from simulation, systems mapping, and stakeholder analysis into a coherent reflection on complex system behaviour and sustainable design trade-offs.
Assessment guidance:
This assessment builds directly on the simulation and systems-thinking activities completed by students. Learners generate and interpret their own simulation outputs (or equivalent open-source pinch analysis results), using these to justify engineering and strategic decisions under uncertainty.
Assessment focuses on students’ ability to integrate quantitative analysis (energy, cost, carbon) with qualitative reasoning (feedbacks, trade-offs, stakeholder dynamics), demonstrating holistic systems understanding.
Deliverables (portfolio; individual or group):
1. Reading and interpretation of simulation outputs
Use the outputs you generate (composite & grand composite curves: HX match/area/cost tables; HP pairing/ranking; summary sheets of QHU, QCU, QREC, COP, CAPEX, OPEX, CO₂, paybacks) for a different industrial process (from the one used in the main learning activity) to:
Identify the pinch point(s) and explain what the curves imply for recovery potential and bottlenecks.
Comment on QHU/QCU/QREC and how they change across the scenarios you run (e.g., ΔTmin, tariffs, emission factors, Top-N HP selection).
Interpret trade-offs among energy, CAPEX, OPEX, emissions, using numbers reported by the simulator. No calculations beyond light arithmetic/annotation.
2. Systems mapping and scenario reasoning
A concise system boundary sketch and a simple stream table.
A Causal Loop Diagram (CLD) highlighting key feedbacks (e.g., tariffs ↔ HP use ↔ grid carbon intensity ↔ emissions/cost).
A short MCDA (transparent criteria/weights) comparing the scenario variants you test; include a brief stakeholder reflection.
3. Decision memo (max 2 pages)
Your recommended integration option under stated assumptions, with one “what-if” sensitivity (e.g., +20% electricity price, tighter CO₂ factor).
State uncertainties/assumptions and any implementation risks (operations, fouling, timing of capital).
Students should include a short reflective note addressing assumptions, feedback insights, and how their stakeholder perspective shaped their recommendation.
Appendix A: Example process scenario for teaching activity:
Sample narrative: Large-scale food processing plant with time-sliced operations
The following process scenario explains the industrial context behind the main teaching activity simulations. A large-scale food processing plant operates a milk product manufacturing line. The process, part of which is shown in Fig. 1, involves the following:
Thermal evaporation of milk feed.
Cooking operations after other ingredient mixing and formulation upstream.
Oven heating to drive off moisture and stimulate critical product attributes.
Pre-finishing operations as the product approaches packaging.
In real operations, the evaporation subprocessoccurs at different times from the cooking/separation, oven and pre-finishing operations. This means that their hot and cold process streams are not simultaneously available for direct heat exchange. For a realistic industrial pinch analysis, the process is thus split into two time slices:
Time Slice A (used for scenario Case A): Evaporation streams only.
Time Slice B (Case B): Cooking/separation, oven and pre-finishing streams only.
Separate pinch analyses are performed for each slice, using the yellow-highlighted sections of Table 1 as stream data for time slice A, and the green-highlighted sections as stream data for time slice B. Any heat recovery between slices would require thermal storage (e.g., a hot-water tank) to bridge the time gap.
Fig.1. Simplified process flowsheet of food manufacturing facility.
Note on storage and system boundaries:
Because the two sub-processes occur at different times, direct process-to-process heat exchange between their streams is not possible without thermal storage. If storage is introduced:
Production surplus heat at time slice A can be stored at high temperature (e.g., 80 °C) and later discharged to preheat time slice B cold streams.
The size of the tank depends on the portion of hot utility demand of sub-process B to be offset, the temperature swing, and the duration of the sub-process B.
Table 1. Process stream data corresponding to flowsheet of Fig. 1. Yellow-highlighted sections represent processes available at time slice A, while green-highlighted sections are processes available at time slice B.
Appendix B: Suggested marking rubric (Editable):
Adopter note: The rubric below is a suggested template. Instructors may adjust criteria language, weightings and band thresholds to align with local policies and learning outcomes. No marks depend on running software.
1) Interpretation of Simulation Outputs — 25%
A (Excellent): Reads curves/tables correctly; uses QHU/QCU/QREC, COP, CAPEX/OPEX/CO₂, payback figures accurately; draws clear, defensible trade-offs.
B (Good): Mostly accurate; links numbers to decisions with some insight.
C (Adequate): Mixed accuracy; limited or generic trade-off discussion.
D/F (Weak): Frequent misreads; cherry-picks or contradicts generated data.
2) Systems Thinking & Scenario Analysis — 30%
A: Clear CLD with at least one reinforcing and one balancing loop; leverage points identified; scenarios coherent; MCDA with explicit criteria, weights, and justified ranking; uncertainty acknowledged.
B: Reasonable CLD; scenarios sound; MCDA present with partial justification.
C: Superficial CLD; scenarios/MCDA incomplete or weakly reasoned.
D/F: Little or no systems view; scenarios/MCDA absent or not meaningful.
Atuonwu, J.C. (2025). A Simulation Tool for Pinch Analysis and Heat Exchanger/Heat Pump Integration in Industrial Processes: Development and Application in Challenge-based Learning. Education for Chemical Engineers 52, 141-150.
Oh, X.B., Rozali, N.E.M., Liew, P.Y., Klemes, J.J. (2021). Design of integrated energy- water systems using Pinch Analysis: a nexus study of energy-water-carbon emissions. Journal of Cleaner Production 322, 129092.
Rosenow, J., Arpagaus, C., Lechtenböhmer, S.,Oxenaar, S., Pusceddu, E. (2025). The heat is on: Policy solutions for industrial electrification. Energy Research & Social Science 127, 104227.
Bale, C.S.E., Varga, L., Foxon, T.J. (2015). Energy and complexity: New ways forward. Applied Energy 138, 150-159.
Atuonwu, J.C. (2025). Proprietary Simulator for Pinch Analysis & Heat Integration. Private reviewer access available on request (demo video or temporary login).
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Keywords: Energy efficiency; Factories; Best practice; Eco-efficiency; Practice maturity model; AHEP; Student support; Sustainability.
Sustainability competency: Critical thinking; Integrated problem-solving. UNESCO has developed eight key competencies for sustainability that are aimed at learners of all ages worldwide. Many versions of these exist, as are linked here*. In the UK, these have been adapted within higher education by AdvanceHE and the QAA with appropriate learning outcomes. The full list of competencies and learning outcome alignment can be found in the Education for Sustainable Development Guidance*. *Click the pink ''Sustainability competency'' text to learn more.
AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
Related SDGs: SDG 9 (Industry, innovation, and infrastructure); SDG 12 (Responsible consumption and production).
Reimagined Degree Map Intervention: More real-world complexity.The Reimagined Degree Map is a guide to help engineering departments navigate the decisions that are urgently required to ensure degrees prepare students for 21st century challenges. Click the pink ''Reimagined Degree Map Intervention'' text to learn more.
Learning and teaching notes:
The following are a set of use cases for a maturity model designed to improve energy and resource efficiency in manufacturing facilities. This guide can help engineering educators integrate some of the main concepts behind this model (efficient use of energy and resources in factories in the context of continuous improvement and sustainability) into student learning by showcasing case study examples.
Teachers could use one or all of the following use cases to put students in the shoes of a practicing engineer whose responsibility is to evaluate and improve factory fitness from a sustainability perspective.
Factory assessment in multiple assembly facilities for an aircraft manufacturer:
The assessment is part of the following use case on this industrial energy efficiency network (IEEN):
The company operates in the aerospace sector and runs 11 manufacturing sites that employ approximately 50000 people across 4 European countries. Most of the sites are responsible for specific parts of the aircraft i.e. fuselage, wings. These parts once manufactured are sent to two final assembly sites. Addressing energy efficiency in manufacturing has been a major concern for the company for several years.
It was not until 2006 that a corporate policy was developed that would formalize efforts towards energy efficiency and set a 20% reduction in energy by the year 2020 across all manufacturing sites. An environmental steering committee at board level was set up which also oversaw waste reduction and resource efficiency. The year 2006 became the baseline year for energy savings and performance measures. Energy saving projects were initiated then, across multiple manufacturing sites. These were carried out as project-based activities, locally guided by the heads of each division and function per site.
A corporate protocol for developing the business case for each project is an initial part of the process. It is designed to assign particular resources and accountabilities to the people in charge of the improvements. Up to 2012, improvement initiatives had a local focus per site and an awareness-raising character. It was agreed that in order to replicate local improvements across the plants a process of cross-plant coordination was necessary. A study on the barriers to energy efficiency in this company revealed three important barriers which needed to be addressed:
Lack of accountability: The site energy manager is responsible for reducing the site’s energy consumption but only has authority to act within a facility’s domain–that is, by improving facilities and services, such as buildings and switchgear. They are not empowered to act within a manufacturing operations parameter. Therefore, no one is responsible for reducing energy demand.
No clear ownership: Many improvements are identified but then delayed due to a lack of funding to carry out the works. This is because neither facilities nor manufacturing operations agree whether the improvement is inside their parameter: typically, facilities claim that it is a manufacturing process improvement, and operations claim that any benefit would be realized by facilities. Both are correct, hence neither will commit resources to achieve the improvement and own the improvement.
No sense of urgency: A corporate target exists for energy reduction–but the planned date for achieving this is 2020.
The solution that the environmental steering committee decided to support, was the creation of an industrial energy efficiency network (IEEN). The company had previously done something similar when seeking to harmonize its manufacturing processes through process technology groups (Lunt et al., 2015). This approach consists of each plant nominating a representative who is taking the lead and coordinating activities. It is expected that the industrial network would contribute to a significant 7% share out of the 20% energy reduction target for the year 2020 since its establishment as an operation in 2012.
The network’s operations are further facilitated with corporate resources such as online tools that help practitioners report and track the progress of current projects, review past ones, and learn about best-available techniques. This practice evolved into an intranet website that is further available to the wider community of practitioners and aims to generate further interest and enhance the flow of information back to the network. Additionally, a handbook to guide new and existing members in engaging effectively with the network and its objective has been developed for wider distribution. These tools are supported by training campaigns across the sites.
Most of the network members also act as boundary spanners (Gittell and Weiss, 2004) in the sense that they have established connections to process technology groups or they are members of these groups as well. This helps the network establish strong links with other informal groups within the organization and act as conductor for a better flow of ideas between these groups and the network. Potentially, network members have a chance to influence core technology groups towards energy efficiency at product level.
On average, a 5-10% work-time allocation is approved for all network members to engage with the network functions. In case a member is not coping in terms of time management there is the option of sub-contracting the improvement project to an external subcontractor who is hired for that particular purpose and the subcontractor’s time allocation to the project can be up to 100%.
“….by having the network we meet and we select together a list of projects that we want to put forward to access that central pot of money. So we know roughly how much will be allocated to industrial energy efficiency and so we select projects across all of the sites that we think will get funded and we put them all together as a group…so rather than having lots of individual sites making individual requests for funding and being rejected, by going together as a group and having some kind of strategy as well…”
Each dot on each of the model rows represents the relative efficiencies that a factory achieves in saving energy and resources through best practice (5 of 11 factories represented here, each delivering an aircraft part towards final assembly). The assessment allowed this network of energy efficiency engineers and managers to better understand the strengths and weaknesses in different factories and where the learning opportunities exist (and against which dimension of the model).
2. The perception problem in manufacturing processes and management practice:
The following assessment is performed in a leading aerospace company where two senior engineering managers (green and orange lines) find it difficult to agree on the maturity of different practices currently used at the factory level as part of their environmental sustainability strategy.
This assessment was part of the following use case:
The self-assessment was completed by the head of environment and one of his associates in the same function. These two practitioners work closely together and are based in the UK headquarters. Even though the maturity profiles do not vary significantly (1 level plus or minus) it is clear that there is very little overall agreement on the maturity levels in each dimension.
3. Using the maturity model as a consensus building tool in a factory:
Seven practitioners from different parts of the business (engineering, operations, marketing, health and safety etc.) were brought together to understand how they think the factory performs. The convergence between perceptions was very small and this would indicate high levels of resistance to change and continuous improvement. For example, if senior managers think they are doing really well, they will not invest time and effort in better practices and technologies.
A timeline (today +5years) was used to understand where they think they are today and where they want to be tomorrow.
This can be one of the ways of thinking about improvements that need to occur, starting with areas of interest that are underperforming and developing the right projects to address the gaps.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Keywords: Circular business models; Teaching or embedding sustainability; Plastic waste; Plastic pollution; Recycling or recycled materials; Responsible consumption; Teamwork; Interdisciplinary; AHEP; Higher education.
Sustainability competency: Integrated problem-solving; Collaboration; Systems thinking.UNESCO has developed eight key competencies for sustainability that are aimed at learners of all ages worldwide. Many versions of these exist, as are linked here*. In the UK, these have been adapted within higher education by AdvanceHE and the QAA with appropriate learning outcomes. The full list of competencies and learning outcome alignment can be found in the Education for Sustainable Development Guidance*. *Click the pink ''Sustainability competency'' text to learn more.
AHEP mapping: This resource addresses two of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this resource to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
Related SDGs: SDG 4 (Quality education); SDG 11 (Sustainable cities and communities); SDG 12 (Responsible consumption and production); SDG 13 (Climate action); SDG 14 (Life below water).
Reimagined Degree Map Intervention: More real-world complexity, Active pedagogies and mindset development, Authentic assessment, Cross-disciplinarity.The Reimagined Degree Map is a guide to help engineering departments navigate the decisions that are urgently required to ensure degrees prepare students for 21st century challenges. Click the pink ''Reimagined Degree Map Intervention'' text to learn more.
Educational level: Intermediate.
Learning and teaching notes:
This case study is focused on the role of engineers to address the problem of plastic waste in the context of sustainable operations and circular business solutions. It involves a team of engineers developing a start-up aiming to tackle plastic waste by converting it into infrastructure components (such as plastic bricks). As plastic waste is a global problem, the case can be customised by instructors when specifying the region in which it is set. The case incorporates several components, including stakeholder mapping, empirical surveys, risk assessment and policy-making. This case study is particularly suitable for interdisciplinary teamwork, with students from different disciplines bringing their specialised knowledge.
The case study asks students to research the data on how much plastic is produced and policies for the disposal of plastic, identify the regions most affected by plastic waste, develop a business plan for a circular business focused on transforming plastic waste into bricks and understand the risks of plastic production and waste as well as the risks of a business working with plastic waste. In this process, students gain an awareness of the societal context of plastic waste and the varying risks that different demographic categories are exposed to, as well as the role of engineers in contributing to the development of technologies for circular businesses. Students also get to apply their disciplinary knowledge to propose technical solutions to the problem of plastic waste.
The case is presented in parts. Part one addresses the broader context of plastic waste and could be used in isolation, but parts two and three further develop and add complexity to the engineering-specific elements of the topic.
Learners have the opportunity to:
apply their ethical judgement to a case study focused on a circular technology;
understand the national and supranational policy context related to the production and disposal of plastic;
analyse engineering and societal risks related to the development of a novel technology;
develop a business model for a circular technology dealing with plastic waste;
identify the key stakeholder groups in the development of a circular business model;
reflect on how risks may differ for different demographic groups and identify the stakeholder groups most vulnerable to the negative effects of plastic waste;
develop an empirical survey to identify the risks that stakeholders affected by or working with plastic waste are exposed to;
develop a risk assessment to identify the risks involved in the manufacturing of plastic waste bricks;
provide recommendations for lowering the risks in the manufacturing of plastic bricks.
Teachers have the opportunity to include teaching content purporting to:
Physico-chemical properties of plastic waste;
Manufacturing processes of plastic products and plastic bricks;
Sustainable policies targeting plastic usage and reduction;
Climate justice;
Circular entrepreneurship;
Risk assessment tools such as HAZOP and their application in the chemical industry.
Plastic pollution is a major challenge. It is predicted that if current trends continue, by 2050 there will be 26 billion metric tons of plastic waste, and almost half of this is expected to be dumped in landfills and the environment (Guglielmi, 2017). As plastic waste grows at an increased speed, it kills millions of animals each year, contaminates fresh water sources and affects human health. Across the world, geographical regions are affected differently by plastic waste. In fact, developing countries are more affected by plastic waste than developed nations. Existing reports trace a link between poverty and plastic waste, making it a development problem. Africa, Asia and South America see immense quantities of plastic generated elsewhere being dumped on their territory. At the moment, there are several policies in place targeting the production and disposal of plastic. Several of the policies active in developed regions such as the EU do not allow the disposal of plastic waste inside their own territorial boundaries, but allow it on outside territories.
Optional STOP for activities and discussion
Conduct research to identify 5 national or international regulations or policies about the use and disposal of plastic.
Compare these policies by stating which is the issuing policy body, what is the aim and scope of the policy.
Reflect on the effectiveness of each policy and debate in class what are the most effective policies you identified.
Write a reflection piece based on a policy of your choice targeting the use or disposal of plastic. In this reflection, identify the benefits of the policy as well as potential limitations. You may consider how you would improve the policy.
Conduct research to identify how much plastic is produced and how much plastic waste is generated in your region. Identify which sectors are the biggest producers of waste. Conduct research on how much of this plastic waste is being exported and where is it exported.
Identify the countries and companies with the biggest plastic footprint. Discuss in the classroom what you consider to contribute to these rankings.
Research global waste trading and identify the countries that are the biggest exporters and importers of plastic waste. Discuss the findings in classroom and what you consider to contribute to these rankings. Discuss whether there are or should be any restrictions governing global waste trade.
Write a report analysing the plastic footprint of a country or company of your choice. Include recommendations for minimising the plastic footprint.
Impressed by the magnitude of the problem of plastic waste faced today, together with a group of friends you met while studying engineering at the Technological University of the Future, you want to set up a green circular business. Circular business models aim to use and reuse materials for as long as possible, all while minimising waste. Your concern is to develop a sustainable technological solution to the problem of plastic waste. The vision for a circular economy for plastic rests on six key points (Ellen McArthur Foundation, n.d.):
Elimination of problematic or unnecessary plastic packaging through redesign, innovation, and new delivery models is a priority
Reuse models are applied where relevant, reducing the need for single-use packaging
All plastic packaging is 100% reusable, recyclable, or compostable
All plastic packaging is reused, recycled, or composted in practice
The use of plastic is fully decoupled from the consumption of finite resources
All plastic packaging is free of hazardous chemicals, and the health, safety, and rights of all people involved are respected
Optional STOP for group activities and discussion
Read about the example of the Great Plastic Bake Off and their project focused on converting plastic waste into plastic bricks. Research the chemical properties of plastic bricks and the process for the manufacturing process. Present your findings on a poster or discuss it in class.
Develop a concept map with ideas for potential sustainable technologies for reducing or recycling plastic waste. You may use as inspiration the Circular Strategies Scanner (available here).
Select one idea that you want to propose as the focus of your sustainable start-up. Give a name to your startup!
Describe the technology you want to produce: what is its aim? What problem can it solve or what gap can it address? What are the envisioned benefits of your technology? What are its key features?
Map the key stakeholders of the technology, by identifying the decision-makers for this technology, the beneficiaries of the technology, as well as those who are exposed to the risks of the technology
Analyse the market for your technology: are there businesses with a similar aim or similar technology? What differentiates your business or technology from them?
Identify key policies relevant to your technology: are there any policies or regulations in place that you should consider? In your geographical area, are there any policy incentives for sustainable technologies or businesses similar to the one you are developing?
For your start-up, assign different roles to the members of your group (such as technology officer, researcher, financial officer, communication manager, partnership director a.s.o) and describe the key tasks of each member. Identify how much personnel you would need
Identify the cost components and calculate the yearly costs for running your business (including personnel).
Perform a SWOT analysis of the Strengths, Weaknesses, Opportunities and Threats for your business. You may use this matrix to brainstorm each component.
Part three:
The start-up SuperRecycling aims to develop infrastructure solutions by converting plastic waste into bricks. Your team of engineers is tasked to develop a risk assessment for the operations of the factory in which this process will take place. The start-up is set in a developing country of your choice that is greatly affected by plastic waste.
Optional STOP for group activities and discussion
Agree on the geographical location of the startup SuperRecycling and identify the amount of plastic waste that your region has to cope with, as well as any other relevant socio-economic characteristics of the region.
Identify the demographic categories that are most exposed to the risks of plastic waste in the region.
Research and analyse the situation of the informal plastic waste picking sector in the region: who is picking up the waste? How much do they earn for working with waste? Is this a regular form of income and who pays this income? What does it mean to be an “informal” worker? Are there any key insights about the characteristics of the plastic waste workers that you find interesting?
Based on research and your own reflections, write a report on the role and risks that the plastic waste pickers are exposed to in their work.
Create an empirical survey with the aim of identifying the risks the plastic waste pickers are exposed to, as well as the strategies they take to mitigate risks or deal with accidents.
Create an empirical survey with the aim of identifying the risks that the factory workers at SuperRecycling are exposed to, as well as the strategies they take to mitigate risks or deal with accidents.
Research the manufacturing process for developing plastic bricks and analyse the technical characteristics of plastic bricks, based on existing tests.
With the classroom split into 2 groups, argue in favour or against their use of plastic bricks in construction. One group develops 5 arguments for the use of plastic bricks in construction, while the other group develops 5 arguments against the use of plastic bricks in construction. At the end, the groups disperse and students vote individually via an anonymous online poll whether they are personally in favour or against the use of plastic bricks in construction.
Create a HAZOP risk assessment for the manufacturing processes of the factory where plastic waste is converted into plastic bricks.
Develop an educational leaflet for preventing the key injuries and hazards in the process of converting plastic waste into bricks, both for the informal waste pickers and the factory workers.
Acknowledgement: The authors want to acknowledge the work of Engineers Without Borders Netherlands and its partners to tackle the problem of plastic waste. The case is based on the Challenge Based Learning exploratory course Decision Under Risk and Uncertainty designed by Diana Adela Martin at TU Eindhoven, where students got to work on a real-life project about the conversion of plastic waste into bricks to build a washroom facility in a school in Ghana, based on the activity of Engineers Without Borders Netherlands. The project was spearheaded by Suleman Audu and Jeremy Mantingh.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Ethical issues: Sustainability; Respect for the environment; Future generations; Societal impact; Corporate Social Responsibility.
Professional situations: EDI; Communication; Conflicts with leadership/management; Quality of work; Personal/professional reputation.
Educational level: Intermediate.
Educational aim: Practising Ethical Analysis: engaging in a process by which ethical issues are defined, affected parties and consequences are identified, so that relevant moral principles can be applied to a situation in order to determine possible courses of action.
Learning and teaching notes:
This case involves an early-career consultant engineer working in the area of sustainable construction. She must negotiate between the values that she, her employer, and her client hold in order to balance sustainability goals and profit. The summary involves analysis of personal values and technical issues, and parts one and two bring in further complications that require the engineer to decide how much to compromise her own values.
This case study addresses two of AHEP 4’s themes: The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
The dilemma in this case is presented in two parts. If desired, a teacher can use the Summary and Part one in isolation, but Part two develops and complicates the concepts presented in the Summary and Part one to provide for additional learning. The case allows teachers the option to stop at multiple points for questions and / or activities as desired.
Learners have the opportunity to:
analyse the values that underlie professional and ethical stances;
gain knowledge about mass timber construction and its connection to sustainability goals;
articulate their own position about what they would do in a similar situation;
explore life cycle and Corporate Social Responsibility issues related to construction;
practise different types of professional communication.
Teachers have the opportunity to:
introduce technical content related to structural analysis and/or timber construction;
introduce or reinforce content related to leadership and global responsibility in engineering;
informally evaluate critical thinking and communication skills.
Learners and teachers might benefit from pre-reading the above resources about EDI and enacting global responsibility, as well as introductory material on construction with mass timber such as information from Transforming Timber or the “How to Build a Wood Skyscraper” video.
Summary:
Originally from rural Pakistan, Anika is a construction engineer who has recently finished her postgraduate degree, having been awarded a fully funded scholarship. During her studies, Anika was introduced to innovative projects using mass timber and off-site methods of construction. After completing her studies, she was inspired to start her own consultancy practice in the UK, aiming to promote the use of sustainable materials within the construction industry.
James is the director of a well-established, family-owned architectural firm, originally started by his great-grandfather who was also a prominent societal figure. In the last year, James and his colleagues have sought to develop a sustainability policy for the firm. A key feature of this new policy is a commitment to adopt innovative, sustainable construction solutions wherever possible. James has been contacted by an important client who wants to commission his firm to work on a new residential development.
James first met Anika at university when they were both studying for the same postgraduate degree. Having a high regard for Anika’s capability and professionalism, James contacts Anika to propose working together to develop a proposal for the new residential development.
James hopes that Anika’s involvement will persuade the client to select construction solutions that are aligned with the new sustainability policy adopted by his firm. However, the important client has a reputation for prioritising profit over quality, and openly admits to being sceptical about environmental issues.
Anika schedules a meeting with the client to introduce herself and discuss some initial ideas for the project.
Optional STOP for questions and activities:
1. Discussion: Personal values – What are the different personal values for Anika, James, and the client? How might they conflict with each other?
2. Activity: Professional communication – Elevator pitch activity part 1 – Working in groups of 2-3 and looking at the three different stakeholders’ personal values, each group will create a persuasive pitch of 1 minute used by Anika to convince the client to focus on sustainability.
3. Activity: Technical Analysis – Assemble a bibliography of relevant projects using mass timber and off-site methods of construction, and identify the weaknesses and strengths of these projects in terms of sustainability and long- and short-term costs and benefits.
4. Activity: Professional communication – Elevator pitch activity part 2 – After conducting your technical analysis, work in groups of 2-3 to revise your elevator pitch and role play the meeting with the client. How should Anika approach the meeting?
Dilemma – Part one:
After the first meeting, the client expresses major concerns about Anika’s vision. Firstly, the client states that the initial costings are too high, resulting in a reduced profit margin for the development. Secondly, the client has serious misgivings about the use of mass timber, citing concerns about fire safety and the durability of the material.
Anika is disheartened at the client’s stance, and is also frustrated by James, who has a tendency to contradict and interrupt her during meetings with the client. Anika is also aware that James has met with the client on various occasions without extending the invitation to her, most notably a drinks and dinner reception at a luxury hotel. However, despite her misgivings, Anika knows that being involved in this project will secure the future of her own fledgling consulting company in the short term – and therefore, reluctantly, suspects she will have to make compromises.
Optional STOP for questions and activities:
1. Discussion: Leadership and Communication – Which global responsibilities does Anika face as an engineer? Are those personal or professional responsibilities, or both? How should Anika balance her ethical duties, both personal and professional, and at the same time reach a decision with the client?
2. Activity: Research – Assemble a bibliography of relevant projects where mass timber has been used. How might you design a study to evaluate its structural and environmental credentials? What additional research needs to be conducted in order for more acceptance of this construction method?
3. Activity: Wider impact – Looking at Anika’s idea of using mass timber and off-site methods of construction, students will work in groups of 3-4 to identify the values categories of the following capital models: Natural, Social, Human, Manufactured and Financial.
4. Activity: Equality, Diversity, and Inclusion – Map and analyse qualities and abilities in connection with women and how these can have a positive and negative impact in the construction industry.
5. Discussion: Leadership and Communication – Which are the competitive advantages of women leading sustainable businesses and organisations? Which coping strategy should Anika use for her working relationship with James?
Dilemma – Part two:
Despite some initial misgivings, the client has commissioned James and Anika to work on the new residential development. Anika has begun researching where to locally source mass timber products. During her research, Anika discovers a new off-site construction company that uses homegrown mass timber. Anika is excited by this discovery as most timber products are imported from abroad, meaning the environmental impact can be mitigated.
Optional STOP for questions and activities:
1. Activity: Environmental footprint – Research the Environmental Product Declaration of different construction materials and whole life carbon assessment.
2. Discussion: Is transportation the only benefit of using local resources? Which other values (Natural, Social, Human, Manufactured and Financial) can be maximised with the use of local resources? How should these values be weighted?
3. Discussion: Professional responsibility – How important is Corporate Social Responsibility (CSR) in Construction? How could the use of local biogenic materials and off-site methods of construction be incorporated into a strategic CSR business plan?
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Author: Dr Irene Josa (University College London). The author would like to acknowledge Colin Church (IOM3) who provided valuable feedback during the development of this case.
Ethical issues: Respect for the environment; Risk.
Professional situations: Conflicts of interest; Public health and safety; Legal implications; Whistleblowing; Power; Corporate social responsibility.
Educational level: Intermediate.
Educational aim: Gaining ethical knowledge. Knowing the sets of rules, theories, concepts, frameworks, and statements of duty, rights, or obligations that inform ethical attitudes, behaviours, and practices.
Learning and teaching notes:
This case involves an engineer responsible for verifying the source of recycled construction material to ensure it is not contaminated. The case is presented in three parts. Part one focuses on the environmental, professional, and social contexts and may be used in isolation to allow students to explore both micro-ethical and macro-ethical concerns. Parts two and three bring in a dilemma about public information and communication and allows students to consider their positions and potential responses. The case allows teachers the option to stop at multiple points for questions and / or activities as desired.
This case study addresses two of AHEP 4’s themes: The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
Learners have the opportunity to:
identify legal, professional, and ethical rules and guidance;
investigate technical and environmental components of circularity;
consider professional roles and associated responsibilities;
practice preparing for a public interview.
Teachers have the opportunity to:
introduce or provide practice in Life Cycle Assessment;
highlight relevant ethical codes and quality standards;
address approaches to professional and/or interpersonal conflict;
informally evaluate critical thinking and analysis.
Charlie is a junior environmental engineer who started working at Circle Mat after graduating. Circle Mat is a construction products company that takes pride in using recycled materials from waste in their products, such as mortars and concretes. In fact, Circle Mat was recently nominated by the National Sustainability Association in the prize for the most innovative and sustainable production chains.
Charlie’s role is to ensure that the quality standards of the recycled waste used in the products are met. She is sent a report every two weeks from the factories receiving the waste and she checks the properties of this waste. While she is also supposed to visit all the factories once a month, her direct supervisor, Sam, advised her to visit only those factories where data shows that there are problems with the quality. While it is Charlie’s responsibility to verify the quality and to create the factory visit plan, she trusts her line manager as to how best approach her work.
Among all the factories with which they are working, the factory in Barretton has always had the highest quality standards, and since it is very far from where Charlie is based, she has postponed for months her visit to that factory.
Optional STOP for questions and activities:
1. Discussion: Charlie is responsible for checking the quality from the data she receives, but what about the quality/reliability of the data? Where does her responsibility begin and end? What ethical guidance, codes, or frameworks can help her decide?
2. Activity: Research the issue of asbestos, including current science, potential risks, and legal implications.
3. Discussion: Macroethical context – What is circularity, and how does it relate to climate goals or environmental practice?
Dilemma: Part two:
After several months, she finally goes to the town where the factory is located. Before getting to the factory, she stops for a coffee at the town’s café. There, she enquires of the waiter about the impacts of the factory on the town. The waiter expresses his satisfaction and explains that since Circle Mat started operations there, the town has become much more prosperous.
When Charlie reaches the factory, she notices a pile of waste that, she assumes, is the one that is being used as recycled aggregate in concrete. Having a closer look, she sees that it is waste from demolition of a building, with some insulation walls, concrete slabs and old pipes. At that moment, the head of the factory arrives and kindly shows Charlie around.
At the end of the visit, Charlie asks about the pile, and the head says that it is indeed demolition waste from an old industrial building. By the description, Charlie remembers that there are some buildings in the region that still contain asbestos, so asks whether the demolition material could potentially have asbestos. To Charlie’s surprise, the head reacts aggressively and says that the visit is over.
Optional STOP for questions and activities:
1. Activity: Use an environmental and social Life Cycle Assessment tool to assess the environmental and social impacts that the decision that Charlie makes might have.
2. Discussion: Map possible courses of action regarding the approach that Charlie could adopt when the factory head tries to shut down the visit. Discuss which is the best approach and why. Some starting questions would be: What should Charlie do? What feels wrong about this situation?
3. Discussion: if she reports her suspicions to her manager, what data or evidence can she present? Should she say anything at all at this point?
Dilemma – Part three:
In the end, Charlie decides not to mention anything, and after writing her report she leaves Barretton. A few days later, Circle Mat is announced to be the winner of the prize by the National Sustainability Association. Circle Mat organises a celebration event to be carried out in Barretton. During the event, Charlie discovers that Circle Mat’s CEO is a relative of the mayor of Barretton.
She is not sure if there really is asbestos in the waste, and also she does not know if other factories might be behaving in the same way. Nonetheless, other junior engineers are responsible for the other factories, so she doesn’t have access to the information.
Some days after the event, she receives a call from a journalist who says that they have discovered that the company is using waste from buildings that contain asbestos. The journalist is preparing an article to uncover the secret and wants to interview her. They ensure that, if she wants, her identity will be kept anonymous. They also mention that, if she refuses to participate, they will collect information from other sources in the company.
Optional STOP for questions and activities:
1. Activity: Technical integration related to measuring contaminants in waste products used for construction materials.
2. Discussion: What ethical issues can be identified in this scenario? Check how ethical principles of the construction sector inform the ethical issues that may be present, and the solutions that might be possible.
3. Discussion: What interpersonal and workplace dynamics might affect the approach taken to resolve this situation?
4. Discussion: Would you and could you take the interview with the journalist? Should Charlie? Why or why not?
5. Activity: In the case of deciding to take the interview, prepare the notes you would take to the interview.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Authors: Dr Yujia Zhai (University of Hertfordshire); Associate Professor Scarlett Xiao (University of Hertfordshire).
Professional situations: Rigour; Informed consent; Misuse of data.
Educational level: Intermediate.
Educational aim: Gaining ethical knowledge. Knowing the sets of rules, theories, concepts, frameworks, and statements of duty, rights, or obligations that inform ethical attitudes, behaviours, and practices.
Learning and teaching notes:
This case study involves an engineer hired to develop and install an Industrial Internet of Things (IIoT) online machine monitoring system for a manufacturing company. The developments include designing the infrastructure of hardware and software, writing the operation manuals and setting policies. The project incorporates a variety of ethical components including law and policy, stakeholders, and risk analysis.
This case study addresses three of the themes from the Accreditation of Higher Education Programmes fourth edition (AHEP4): Design and Innovation (significant technical and intellectual challenges commensurate the level of study), the Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools, and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
The dilemma in this case is presented in three parts. If desired, a teacher can use Part one in isolation, but Part two and Part three develop and complicate the concepts presented in Part one to provide for additional learning. The case study allows teachers the option to stop at multiple points for questions and/or activities as desired.
Learners have the opportunity to:
apply their ethical judgement relating to privacy and consent on the use of machine data;
determine the societal impact of a technical solution to a complex problem;
analyse risks associated with ethical concerns and justify their ethical decisions;
communicate these risks and judgements to both technical and non-technical audiences.
Teachers have the opportunity to:
highlight a range of ethical considerations within the scope of a complex engineering project;
introduce methods for risk analysis and ethical decision-making;
link Engineering Council statements of ethical principles with real world situations;
IIoT is a new technology that can provide accurate condition monitoring and predict component wear rates to optimise machine performance, thereby improving the machining precision of the workpiece and reducing the production cost.
Oxconn is a company that produces auto parts. The robotic manipulators and other automation machines on the production line have been developed at considerable cost and investment, and regular production line maintenance is essential to ensure its effective operation. The current maintenance scheme is based on routine check tests which are not reliable and efficient. Therefore Oxconn has decided to install an IIoT-based machine condition monitoring system. To achieve fast responses to any machine operation issues, the machine condition data collected in real time will be transferred to a cloud server for analysis, decision making, and predictive maintenance in the future.
Dilemma – Part one – Data protection on customers’ machines:
You are a leading engineer who has been hired by Oxconn to take charge of the project on the IIoT-based machine monitoring system, including designing the infrastructure of hardware and software, writing the operation manuals, setting policies, and getting the system up and running. With your background in robotic engineering and automation, you are expected to act as a technical advisor to Oxconn and liaise with the Facilities, Security, Operation, and Maintenance departments to ensure a smooth deployment. This is the first time you have worked on a project that involves real time data collection. So as part of your preparation for the project, you need to do some preliminary research as to what best practices, guidance, and regulations apply.
Optional STOP for questions and activities:
1. Discussion: What are the legal issues relating to machine condition monitoring? Machines’ real-time data allows for the identification of production status in a factory and is therefore considered as commercial data under GDPR and the Data Protection Act (2018). Are there rules specifically for IIoT, or are they the same no matter what technology is being used? Should IIoT regulations differ in any way? Why?
2. Discussion: Sharing data is a legally and ethically complex field. Are there any stakeholders with which the data could be shared? For instance, is it acceptable to share the data with an artificial intelligence research group or with the public? Why, or why not?
3. Discussion: Under GDPR, individuals must normally consent to their personal data being processed. For machine condition data, how should consent be handled in this case?
4. Discussion: What ethical codes relate to data security and privacy in an IIoT scenario?
5. Activity: Undertake a technical activity that relates to how IIoT-based machine monitoring systems are engineered.
6. Discussion: Based on your understanding of how IIoT-based machine monitoring systems are engineered, consider what additional risks, and what kind of risks (such as financial or operational), Oxconn might incur if depending on an entirely cloud-based system. How might these risks be mitigated from a technical and non-technical perspective?
Dilemma – Part two – Computer networks security issue brought by online monitoring systems:
The project has kicked off and a senior manager requests that a user interface (UI) be established specifically for the senior management team (SMT). Through this UI, the SMT members can have access to all the real-time data via their computers or mobiles and obtain the analysis result provided by artificial intelligence technology. You realise this has implications on the risk of accessing internal operating systems via the external information interface and networks. So as part of your preparation for the project, you need to investigate what platforms can be used and what risk analysis must be taken in implementation.
Optional STOP for questions and activities:
The following activities focus on macro-ethics. They address the wider ethical contexts of projects like the industrial data acquisition system.
1. Activity: Explore different manufacturers and their approaches to safety for both machines and operators.
2. Activity: Technical integration – Undertake a technical activity related to automation engineering and information engineering.
3. Activity: Research what happens with the data collected by IIoT. Who can access this data and how can the data analysis module manipulate the data?
4. Activity: Develop a risk management register, taking considerations of the findings from Activity 3 as well as the aspect of putting in place data security protocols and relevant training for SMT.
5. Discussion/activity: Use information in the Ethical Risk Assessment guide to help students consider how ethical issues are related to the risks they have just identified.
6. Discussion: In addition to cost-benefit analysis, how can the ethical factors be considered in designing the data analysis module?
7. Activity: Debate the appropriateness of installing and using the system for the SMT.
8. Discussion: What responsibilities do engineers have in developing these technologies?
Dilemma – Part three – Security breach and legal responsibility:
At the beginning of operation, the IIoT system with AI algorithms improved the efficiency of production lines by updating the parameters in robot operation and product recipes automatically. Recently, however, the efficiency degradation was observed, and after investigation, there were suspicions that the rules/data in AI algorithms have been subtly changed. Developers, contractors, operators, technicians and managers were all brought in to find out what’s going on.
Optional STOP for questions and activities:
1. Discussion: If there has been an illegal hack of the system, what might be the motive of cyber criminals?
2. Discussion: What are the impacts on company business? How could the impact of cyber-attacks on businesses be minimised?
3. Discussion: How could threats that come from internal employees, vendors, contractors or partners be prevented?
4. Discussion: When a security breach happens, what are the legal responsibilities for developers, contractors, operators, technicians and managers?
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Author: Peter Beattie (Ultra Group).
Topic: Dealing with contracts or subcontracts with potential slave or forced labour.
Ethical issues: Social responsibility; Human rights; Risk.
Professional situations: Legal implications; Company/organisational reputation; Conflicts with leadership/management.
Educational level: Beginner.
Educational aim: Practising Ethical Reasoning: the application of critical analysis to specific events in order to evaluate and respond to problems in a fair and responsible way.
Learning and teaching notes:
This case study puts students in the shoes of an engineer who is required to select a subcontractor to manufacture systems and parts. There are stipulations around who can be selected, among which are legal and ethical concerns around suspicions of slavery or forced labour. The engineer must navigate communication with both their supervisors and their potential subcontractor, and ultimately justify their decision.
This case study addresses two of the themes from the Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.
The case is presented in three parts. If desired, a teacher could use the Summary and Part one in isolation, but Parts two and three enable additional professional situations to be brought into consideration. The case study allows teachers the option to stop at multiple points for questions and/or activities as desired.
Learners have the opportunity to:
analyse ethical dimensions and complexities of a professional situation;
analyse risks associated with potentially questionable practice, considering short- and long-term consequences to both business and social interests;
make and justify an ethical decision;
communicate these risks and judgements to public and business audiences.
Teachers have the opportunity to:
highlight the ethical considerations within business and supply chain decisions relating to an engineering project;
introduce or reinforce concepts and methods related to risk analysis and ethical decision-making;
evaluate critical thinking, argumentation, and/or communication skills.
Autonomous Vehicle Corporation (AVC) has recently been awarded a contract to provide a bespoke design unmanned air vehicle to India. AVC is a UK certified B Corp that prides itself on maintaining the highest standards of social and environmental performance, transparency, and accountability.
A stipulation of the newly awarded contract is that at least 30% of the contract value is spent on the manufacture of sub-systems and parts from subcontractors based in India. AVC is responsible for identifying and contracting these suppliers.
After many years working as a Systems Engineer for AVC, you have been selected as the Lead Engineer for the project, responsible for the selection of the Indian suppliers. You are aware from your initial research of reports regarding slave and forced labour in the region’s manufacturing industry and are concerned that this situation might affect the project and the company. Additionally, you would personally feel uncomfortable knowing that you might contract a supplier who engaged in those practices.
Optional STOP for questions and activities:
1. Activity: To consider how AVC might be impacted from engaging a supplier that utilises slave or forced labour, chart out the viewpoints of different stakeholders, such as customers, investors, other suppliers, communities, and employees.
2. Discussion: Are there other factors besides ethical considerations that may influence your selection of supplier? What are these?
3. Discussion: How would you weigh the importance of ethical considerations, such as the use of slave or forced labour, against the other factors identified in the previous question? What information or resources might you use in guiding your weighting of these considerations?
4. Activity: Contrast the UK Engineering Council’s code of ethics with the Engineering Council of India’s Code of Ethics. How do the two differ? Which code should you be primarily guided by in this situation? Why? How might cultural expectations and norms influence what is seen as ethical?
Dilemma – Part one:
One supplier you are considering is Quality Electronics Manufacturing Pvt. Ltd. (QEM), a company based outside Naya Raipur in one of India’s poorest provinces. During a video call, QEM’s managing director assures you that they comply with a strict code of ethics and conduct all recruitment through a carefully selected list of brokers and agencies. He tells you that QEM sources raw materials from around the world, and none of their suppliers have ever been convicted of any offences relating to slavery. He invites you to tour their factory when you are in the country next month and will personally escort you to answer any questions you may have.
Optional STOP for questions and activities:
1. Activity: Does anything you have heard give you cause for concern regarding the risk of slave or forced labour at QEM in particular? Research this issue from the perspective of various sources, such as investigative journalism, academic papers, government reports, and industry publications. Do their conclusions align or differ in any significant ways? Are there any gaps in knowledge that these sources haven’t adequately covered?
2. Discussion: QEM mentions that they source raw materials from around the world. The reality of modern supply chains is that they often involve multiple complex layers of subcontractors. Does AVC have an ethical duty to consider the whole supply chain? Would this be the same if AVC were further down the supply chain? If AVC were further down the supply chain, would they have to consider the upstream elements of the supply chain? What are the business implications of considering an entire supply chain?
3. Activity: List possible contextual risk factors and potential indicators of slave and forced labour. Which are present in the case of QEM?
4. Activity and discussion: Create a set of questions you wish to answer during your visit to QEM to help assess the risk that they are engaged in the use of slave or forced labour. How will you get this information? Who will you need to talk to? What evidence would you expect to see and collect? To practise business communication, students could draft a memo to their supervisor explaining the situation and outlining their proposed course of action.
Dilemma – Part two:
During your visit to QEM’s factory, you meet with workers at all levels and you review QEM’s policies and procedures. You identify some potential risk factors that could indicate QEM is using forced labour in its workforce. You raise this with QEM’s managing director, but he responds indignantly, “QEM creates good jobs for our workers and without us they would not be able to feed their families. Your contract would allow us to sustain those jobs and create many more for the local community.”
You know that QEM is the lowest cost supplier for the work you want them to undertake, and you are under pressure to keep budgets down. You have no conclusive evidence that QEM uses forced labour. You also know that the alternative suppliers you could use are all based in regions with high employment, which means the risk of not being able to staff your work (resulting in schedule delays) is high.
Upon your return to the UK, your project manager calls you into her office and tells you she needs your decision on whether to utilise QEM by the end of the week.
Optional STOP for questions and activities:
1. Activity: Conduct a risk analysis that identifies what might be the impact of not using QEM and what might be the impact of using QEM.
2. Debate: Do you use QEM as one of your suppliers? Why, or why not? You may wish to consider your answer using the lens of uncertainty and risk.
3. Discussion: What actions could you put in place with QEM to reduce the incidence/risk of slave or forced labour in its workforce? Which of these would you recommend, and which would you require, QEM to implement as part of contracting with them? How would you enforce them, and what evidence of them being successfully implemented would you need?
Dilemma – Part three – Postscript:
If you chose to use QEM: It is now two years after you subcontracted QEM. An investigation by an NGO has uncovered the rampant use of slave and forced labour within the global electronics manufacturing industry by companies with B-Corp status. AVC is named as one of the perpetrators, and a story about workers at QEM is scheduled to run in a leading tabloid newspaper tomorrow morning. AVC has called an emergency press conference to give its side of the story.
If you chose not to use QEM: The following week, your project manager calls you into her office again. She tells you that she has just stepped out of a meeting with the board, and they are deeply concerned about spiralling costs on your project. In particular, they are concerned that you rejected QEM’s proposal in favour of another supplier who is more than twice as expensive. You have been asked to present your reasoning to the board when they reconvene shortly.
Optional STOP for activity:
1. Roleplay either the press conference or the board meeting and defend your decision.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Activity: Prompts to facilitate discussion activities.
Author: Sarah Jayne Hitt, Ph.D. SFHEA (NMITE, Edinburgh Napier University).
Overview:
There are several points in this case during which an educator can facilitate a class discussion about relevant issues. Below are prompts for discussion questions and activities that can be used. These correspond with the stopping points outlined in the case. Each prompt could take up as little or as much time as the educator wishes, depending on where they want the focus of the discussion to be.
Case Summary – Discussion prompts:
1. Professional Contexts. The question listed in the case study is meant to elicit students’ consideration of working as an engineer in a professional culture different from the one they are familiar with. To answer this question, educators could have students reflect quietly and make notes for a few minutes, or discuss with a partner before sharing with the class. If students are hesitant to engage in questions of cultural differences, they could be prompted to examine why they have that discomfort. Educators might also want to prepare for conversations like this by reviewing the guidance article Tackling tough topics in discussion.
2. Meeting Preparation. The question listed in the case study focuses on the choices that engineers make when presenting data; that is, should they show managers a complete or incomplete picture of the situation in question? What implications does that have in terms of managers’ ability to make decisions? The question also is meant to help students consider aspects of professional communication. Students could be tasked with actually doing a version of the meeting preparation as pairs in the classroom, or they could do this as a reflective exercise as well.
Dilemma – Part one – Discussion prompts:
1. Personal and Professional Responsibility. Here, students are being asked to explore their own personal responses to the informal housing situation outside the factory and interrogate whether or not that response could or should affect their professional actions. The question also investigates the scope of professional responsibility, and at what point an engineer has fulfilled this or fallen short. To engage students in this discussion, educators could split the class in half, with half the room discussing the position that Yasin does NOT have a responsibility, and why; and the other half discussing the position that Yasin DOES have a responsibility and why. Alternatively, students could be asked to write down their own answer to this question along with reasoning why or why not, and then the educator could ask volunteers to share responses in order to open up the discussion.
2. Economic Contexts. Students can use this question to expand on question 1 of this section, and in fact they may already have drawn cost into their reasoning. One way to open up this discussion is to think of the broader costs, meaning: is there a social or environmental cost that the company externalises through its polluting activities? Another way into the question is to go back to the question of responsibility, because engineers are routinely responsible for making budgets and judgements related to costs. Through this financial activity, are they able to advocate for more ethical practices, and should they?
Dilemma – Part two – Discussion prompts
1. Job Offer. This question is meant to point to the issue of bribery, and have students wrestle with the situations presented in the case. Educators could have students review various definitions of bribery, including the one in the RAEng’s Statement of Ethical Principles. They could compare this with the Engineering Council of India’s Code of Ethics. What do these two codes say about Yasin’s case? If they don’t give clear guidance, what should Yasin do? Students could discuss why or why not they think this is bribery in small or large groups, and could debate what Yasin’s action should be and why.
2. External Reporting. This question addresses whistleblowing, and what responsibilities engineers have for reporting unethical actions to professional or legal entities. Students could be asked individually to answer the question and give reasons why, based on the codes of ethics relevant to the case. They could also answer the question based on their own personal values. Then they could discuss their responses in small groups and interrogate whether or not the codes conflict with their values. Educators could at this point raise the question of whether or not there may be different cultural expectations in this area that Yasin might have to navigate, and if so, if this should make any difference to the action he should take. Students could also be asked to chart out the personal and professional repercussions Yasin could experience for either action. This discussion could be good preparation for activity #5, the debate.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.
Abstract: Driving the Electric Revolution is led by Newcastle and is a collaborative R&D project to build supply chains in Power Electronics Machines and Drives. The University led the bid and as we amass supply chain capability we will generate £ Billions in GVA.
Newcastle University has been embedded in the academic and industrial development of the North East of England since 1834. Recently, one of its core competencies, Machines and Drives research, has been used to attract investment to the region from Industry and Government helping to increase the economic prospects for the North East region.
Newcastle University is the national lead organisation for Driving the Electric Revolution Industrialisation Centres an Industrial Strategy Challenge Fund Wave 3 competition. The centres serve two purposes,
A focal point for development of manufacturing processes in Power Electronics, Machines and Drives (PEMD) through investment in cutting edge manufacturing equipment.
The training of researchers, students, employees of industrial partners on these important new processes.
The Driving the Electric Revolution (DER) Industrialisation Centres (DERIC) project aims to accelerate UK industrialisation of innovative and differentiated PEMD manufacturing and supply chain solutions. They are doing this by creating a national network to coordinate and leverage the capabilities of 35 Research and Technology Organisations (RTO) and academic establishments, based within four main centres. Supported by 166 industrial partners it represents the largest coordinated industrialisation programme the UK PEMD sector has ever seen.
Newcastle University has, in living memory, always been at the forefront of Electric Machines and Drives innovation globally. It was inevitable that Newcastle would lead the DER project given its pedigree, reputation and the fact that it was supported by several companies in several sectors, Automotive, Aerospace and domestic products who undertake product research in the North East and who seek to manufacture in the UK if possible.
Newcastle did recognise however that it couldn’t deliver the government programme alone. There were four institutions which formed a consortium to bid into the competition, Newcastle University, University of Strathclyde, Warwick Manufacturing Group and the Compound Semiconductor Applications Catapult in Newport South Wales. Over time they have been joined by University of Nottingham, University of Birmingham, Swansea University and University of Warwick. Letters of support were received from 166 Industry partners, 27 FE and HE organisations expressed support as did 13 RTOs. Although the national bid was led by Newcastle, it took a more North East regional view in development of its delivery model.
Therefore, in addition to this national work, Newcastle extended their DERIC application beyond Newcastle to Sunderland where they worked with Sunderland council to establish a DERIC research facility in the area. Sunderland city council worked with Newcastle to acquire, fit out and commission the lab which received equipment from the project and is due to open in 2022.
Nationally the primary outcome is the establishment of the Driving the Electric Revolution Industrialisation Centres and the network.
The four DERIC act as focal points for the promotion of UK PEMD capabilities. They design develop and co-sponsor activities at international events. They send industrial representatives to meet with clients and research partners from UK, Europe and Asia, as well as developing a new UK event to attract leading PEMD organisations from around the globe.
In Newcastle the university’s sponsorship of both the national project as well as the DERIC in the North East is helping attract, retain and develop local innovation and investment. The equipment granted by the DER Challenge to the centre includes a Drives assembly line as well as an advanced Machines line. The DERIC is focused primarily in the development of manufacturing processes using the granted equipment. The equipment was selected specifically with these new processes in mind. The success of the DERIC program already means that the country and the region have attracted substantial inward investment.
Investments by three companies came to the North East because of the capability developed in the region. They have all agreed partnerships with the university in the process of establishing, acquiring and investing in the North East. The three companies are:
British Volt mission is to accelerate the electrification of society. They make battery cells. Their Gigaplant in Northumberland will be the second Gigaplant in the UK. They are investing £1Bn into the region creating around 5,000 jobs both at the plant and in the supply chain.
Envision also make batteries. Unlike British volt the Envision cell is a Gel pack. Envision has the first Gigaplant in the UK at Sunderland. They are investing a further £450M to expand the plant in Sunderland and potentially another £1.8Bn by 2030.
Turntide Technologies invested £110M into the region acquiring three businesses. These have all in some fashion been supported by and supportive of the PEMD capability at Newcastle over the past six decades.
The university has worked tirelessly to help create an ecosystem in the region for decarbonisation and electrification.
The last stage of this specific activity is the creation of the trained employees for this new North East future. The university, collaborating across the country with DER partners, is embarking on an ambitious plan to help educate, train and upskill the engineers, scientists and operators to support these developments. It is doing this by collaborating, for the North East requirement, with the other universities and further education colleges in the region. Industry is getting involved by delivering a demand signal for its requirements. The education, training and up skilling of thousands of people over the next few years will require substantial investments by both the educators in the region as well as industry.
As the pace of electrification of common internally combusted applications accelerates the need for innovation in the three main components of electrification, power source, drive and machine will grow substantially. The country needs more electrification expertise. The North East region has many of the basic building blocks for a successful future in electrification. Newcastle University and its Academic and Industrial partners have shown the way ahead by collaborating, leading to substantial inward investment which will inevitably lead to greater economic prosperity for the region. Further information is available from the Driving the Electric Revolution Industrialisation Centres website. In addition, there are annual reports and many events hosted, sponsored or attended by the centres.
Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.