Supply Chain Management Course Guide

What should a Supply Chain Management course cover?

A Supply Chain Management course should teach students how to align end-to-end supply-chain capabilities with customer and competitive strategy, then move through demand planning, sourcing, supplier power, inventory, logistics, working capital, network design, resilience, global exposure, sustainability and digital decision-making. The strongest course logic follows the flow of decisions rather than a list of functional departments.

You can run it for final-year undergraduates, MSc or MBA cohorts, or executive education, typically in 10-14 teaching sessions with roughly 24-36 contact hours and 150-180 notional learning hours in a semester design. Students should learn the distinctions between local efficiency and system performance, inventory and service, unit cost and total cost, liquidity and operating policy, redundancy and resilience, and AI-supported analysis and accountable managerial judgement.

Supply Chain Management course overview

72%

teach Supply Chain Management as a named or closely related course

12

sessions as the most common course-design model

82%

taught at undergraduate level

69%

taught at postgraduate level (levels overlap)

52%

offered as core; the rest elective

84%

include an applied or experiential component

Why this course matters

Supply Chain Management connects operations, strategy, finance, analytics and sustainability because decisions about flow, inventory, suppliers and networks create customer, cash and risk consequences at the same time.

Career path fit

How well this course prepares students for six role families, scored out of 10. Indicative, based on how directly the concepts map to each path - not a placement statistic.

Typical course structure

Strategy and foundations 12%
Demand and supply planning 16%
Sourcing and supplier management 16%
Inventory and logistics 22%
Working capital, networks and resilience 18%
Sustainability, digital and integration 16%

Applied learning opportunities

Each is mapped to the session where students already hold the concepts to make a defensible decision, rather than added as an activity at the end.

Who this guide is for

This guide is for professors, lecturers, course coordinators, module leaders, unit convenors, instructors of record and programme directors designing or refreshing Supply Chain Management for university or business-school students. It is written to travel across course, module and unit terminology, and across final-year undergraduate, MSc, MBA and executive education formats.

Use it when you need a defensible course lifecycle, intended learning outcomes, a credit-appropriate workload, assessment tasks and assurance-of-learning evidence. It is not intended to turn the subject into logistics only, a mathematical optimisation course or a catalogue of frameworks. The through-line is managerial judgement across suppliers, planning, flow, cash, networks, disruption and responsible performance.

What does a Supply Chain Management course cover?

A Supply Chain Management course covers the design and management of material, information and cash flows from suppliers through operations and distribution to customers. A coherent course moves from strategic fit and demand planning into procurement, supplier relationships and supplier power, then into inventory, logistics and working capital before widening to network design, resilience, global PESTLE exposure, sustainability and digital supply-chain capabilities.

The applied challenge is to teach trade-offs rather than isolated techniques. Students should be able to judge when lower unit cost creates higher total cost, when service requires inventory, when inventory weakens cash, when supplier power justifies redesign, when resilience merits investment, and when an ESG or AI proposal is operationally credible. By the end, they should be able to make and defend an end-to-end supply-chain recommendation using evidence, scenarios and transparent assumptions.

The course at a glance

A one-screen planning view for a syllabus or course-approval form. The detailed teaching logic, assessments and evidence sit in the sections below.

Planning area	Suggested approach
Best fit	Final-year or senior undergraduate courses, MSc and MBA electives or core operations modules, and executive education where the cohort needs an end-to-end decision view of supply chains.
Typical length	10, 12 or 14 teaching sessions, with 12 as the standard model. Roughly 24-36 contact hours plus 120-150 hours of independent study - about 150-180 notional learning hours in a semester format.
Course role	Often a core operations or business course at undergraduate level and an elective or specialist core in MSc/MBA programmes. It can also provide assurance-of-learning evidence for analytical judgement, integration and responsible decision-making.
Useful prerequisites	Introductory management or operations is helpful. Basic statistics, spreadsheet confidence and the ability to interpret an income statement and balance sheet improve pace, but the course can be scaffolded for students without specialist finance knowledge.
Main student output	An integrated supply-chain recommendation, S&OP memo, sourcing decision, network or resilience proposal, working-capital CFO memo, ESG action plan or oral defence.
Best assessment fit	One group applied output carrying most of the summative weight, plus an individual component - assumptions note, simulation reflection, short memo or oral defence - that creates attributable evidence. Most courses use two assessment points rather than every format listed below.
Best simulation fit	Working Capital Management after the operating-cycle and inventory foundations; Porter's Five Forces for supplier power; PESTLE Analysis for global external exposure; ESG for environmental, workforce and governance trade-offs.

Learning outcomes

These intended learning outcomes use assessable verbs and support constructive alignment between teaching, applied work and assessment. Bloom's taxonomy appears here once as a design check: the course starts with structured analysis and increasingly asks students to evaluate, recommend and defend. That progression also creates evidence for course review and assurance of learning.

Avoid learning outcomes framed as "understand" or "be familiar with." They are difficult to grade. The ten outcomes below make the expected evidence visible in calculations, memos, simulations, scenario work and oral defence.

Analyse how competitive strategy, demand characteristics and service promises should shape supply chain design.
Evaluate forecasts, demand scenarios and S&OP decisions using evidence, uncertainty and cross-functional trade-offs.
Assess procurement options, supplier relationships and supply-market power using total cost, risk and strategic fit.
Apply inventory, service-level and logistics concepts to balance customer availability, cost and asset use.
Calculate DSO, DIO, DPO and the Cash Conversion Cycle, then defend a working-capital policy in operational as well as financial terms.
Design and evaluate network and capacity choices under cost, service, flexibility and global-footprint constraints.
Diagnose supply chain vulnerabilities and recommend resilience actions using disruption scenarios and recovery logic.
Critically evaluate political, economic, social, technological, legal and environmental exposure in global supply-chain decisions.
Recommend sustainable and ethical supply-chain actions that connect environmental, workforce, supplier and governance outcomes to operational feasibility.
Defend an integrated supply-chain recommendation using transparent assumptions, evidence, scenario analysis and individual judgement.

Core concepts

The structure reflects patterns commonly seen in Ivy League and leading global business-school courses on Supply Chain Management and related modules such as Operations Management, logistics, procurement and global operations. This is a course-design pattern, not a claim that every leading school uses the same sequence.

There are twelve core concepts. The sequence deliberately moves from strategic fit to planning and sourcing, then into physical flow and cash, then into network, disruption, global exposure, sustainability and digital integration.

1. Supply chain strategy, strategic fit and performance

2. Demand forecasting, S&OP and supply chain coordination

3. Procurement, sourcing and supplier relationships

4. Supplier power, industry structure and supply-market analysis

5. Inventory management, service levels and the bullwhip effect

6. Logistics, transportation, warehousing and fulfilment

7. Working capital, cash-to-cash cycle and financial trade-offs

8. Network design, capacity and global footprint

9. Supply chain risk, resilience and disruption response

10. Global supply chains, PESTLE and geopolitical exposure

11. Sustainable, ethical and ESG supply chains

12. Digital supply chains, analytics, AI and end-to-end performance

Concept Details

The twelve teaching notes below keep the same lecturer-facing pattern: central question, coverage, outcomes, teaching approach, runnable case-style example, common difficulty, reading or quick check, simulation fit where genuinely relevant, and the connection to the next concept.

Central question: How should a supply chain be designed so that its capabilities support the customer promise and the competitive strategy?

Begin by treating the supply chain as a system rather than a list of functions. Students should connect customer priorities - cost, speed, variety, availability and reliability - to sourcing, inventory, capacity, information and logistics choices. This gives them the strategic-fit lens they will use through the rest of the course.

What this concept covers

Competitive strategy and customer value propositions.
Strategic fit between demand characteristics and supply chain capabilities.
Efficiency versus responsiveness and the cost-service frontier.
Core performance measures: service, cost, cash, asset use and resilience.
Process views that connect suppliers, operations, distribution channels and customers.

Learning outcomes

By the end of this concept, students should be able to:

Analyse how a customer proposition changes supply chain priorities.
Evaluate whether a supply chain is aligned to the competitive strategy.
Select a balanced set of operational and financial performance measures.
Diagnose trade-offs between cost, responsiveness, service and risk.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Map a familiar product from tier-two supplier to final customer.
Compare an efficiency-led network with a responsiveness-led network.
Ask groups to redesign the same chain for a low-price retailer and a premium rapid-delivery proposition.

Case-style example

Atlas Appliances has £120m revenue, 88% OTIF, 62 inventory days and logistics cost equal to 9% of sales. It plans a premium direct-to-consumer channel promising two-day delivery while keeping wholesale customers. Students calculate the implied service gap, identify which inventory and network choices would need to change, then recommend either one shared chain or two segmented chains. One conclusion prioritises scale efficiency; the other protects the premium promise. Students discover that strategic fit is a design choice, not a slogan.

Where students struggle

Students often treat low cost, high availability, fast delivery, low inventory and maximum resilience as simultaneously achievable. Require them to state what the supply chain is optimising and what it is willing to sacrifice.

Reading and a quick check

Use the opening chapters of the core textbook. Quick check: give students a new customer proposition and ask for the three supply chain capabilities it would force them to change.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

Once students can define strategic fit, they can see forecasting and S&OP as mechanisms for aligning demand, supply and financial plans rather than as isolated planning techniques.

Central question: How should managers convert uncertain demand into a coordinated plan for sales, inventory, capacity and supply?

Forecasts are inputs to decisions, not facts about the future. Teach forecasting together with sales and operations planning so students see how commercial assumptions become capacity, inventory, procurement and cash commitments. The emphasis should be on forecast error, scenarios and cross-functional reconciliation.

What this concept covers

Forecasting purpose, time horizons, error and bias.
Demand variability, seasonality and scenario ranges.
Sales and operations planning or integrated business planning.
Aggregate planning, capacity choices and demand-supply balancing.
Coordination incentives and the bullwhip link between local forecasts and system behaviour.

Learning outcomes

By the end of this concept, students should be able to:

Evaluate forecast quality using appropriate error measures.
Translate demand scenarios into supply and inventory implications.
Design a simple S&OP decision process with ownership and escalation.
Defend a plan when demand, capacity and financial objectives conflict.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Use one demand series and ask teams to produce base, upside and downside views.
Run a short S&OP meeting with sales, operations, finance and procurement roles.
Mark the quality of assumptions and reconciliation, not only numerical forecast accuracy.

Case-style example

Cedar Foods expects 10,000 cases a month but recent demand ranges from 8,000 to 12,500. Internal capacity is 10,800 cases at £18 each; overtime adds 1,500 at £24, while an external supplier can provide up to 2,500 at £27 with a six-week commitment. Students build base and upside plans, calculate monthly cost and unused capacity, then choose how much flexible capacity to reserve. One plan minimises expected cost; the other buys protection against lost sales. Students discover why forecast error should change capacity policy.

Where students struggle

Students may optimise the mean forecast and ignore the cost of being wrong. Ask them to show the decision under at least two plausible demand scenarios.

Reading and a quick check

Pair the forecasting and aggregate-planning chapters of the core textbook with a short S&OP practitioner note. Quick check: ask which assumption should trigger a replanning meeting.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

The demand plan becomes a buying plan. The course can now move into procurement, sourcing and supplier relationships.

Central question: How should a firm source critical inputs when price, quality, lead time, innovation and supply risk point in different directions?

Procurement should be taught as a strategic design activity, not a purchasing transaction. Students need a framework for category priorities, total cost, make-or-buy, supplier selection, contracting, collaboration and relationship governance. This concept also creates the foundation for supplier-power analysis.

What this concept covers

Make-or-buy and category strategy.
Supplier selection beyond unit price: total landed cost, quality, lead time and risk.
Single, dual and multi-sourcing choices.
Contracts, incentives, service levels and supplier development.
Relationship segmentation, collaboration and ethical sourcing.

Learning outcomes

By the end of this concept, students should be able to:

Compare sourcing options using total cost and risk.
Design supplier-selection criteria that match category criticality.
Evaluate the case for single versus dual sourcing.
Recommend relationship and contract mechanisms for a strategic supplier.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Give groups competing supplier bids with deliberately non-comparable terms.
Require a weighted scorecard plus a narrative challenge to the weights.
Run a buyer-supplier negotiation around price, service, risk sharing and investment.

Case-style example

HelioMed buys 1.2m sterile components a year. Supplier A charges £4.80, delivers in 18 days and has 0.4% defects. Supplier B charges £5.15, delivers in 9 days and has 0.15% defects. A line stoppage costs £140,000 per day and inventory carrying cost is 18% a year. Students compute direct spend, estimate inventory and expected quality exposure, then recommend single sourcing, dual sourcing or supplier development. Cost leadership supports A; continuity and quality support B. Students discover why the cheapest quote is rarely the cheapest supply decision.

Where students struggle

Students often create elaborate supplier scorecards without asking whether the weights reflect actual business consequences. Force every criterion to link to a customer, cash or risk outcome.

Reading and a quick check

Use the sourcing chapter of the core textbook. Quick check: ask students which category would justify collaborative supplier development rather than annual competitive tendering.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

Once students can choose suppliers, they can examine how the structure of the supply market changes negotiating power and long-run sourcing options.

Central question: When does supplier power become a strategic constraint, and how can a supply-management team respond without oversimplifying the market?

Porter's Five Forces is useful here when it is converted from a generic strategy diagram into a supply-market lens. Students should assess concentration, switching costs, substitutes, capacity, qualification barriers and buyer importance, then translate supplier power into procurement actions.

What this concept covers

Supplier concentration and capacity utilisation.
Switching costs, qualification barriers, intellectual property and asset specificity.
Substitutes, backward integration and redesign options.
Buyer importance, volume leverage and information asymmetry.
How supplier power changes contract strategy, inventory policy and resilience investment.

Learning outcomes

By the end of this concept, students should be able to:

Diagnose supplier power using evidence rather than labels.
Link industry structure to sourcing leverage and negotiation strategy.
Evaluate structural responses such as dual sourcing, redesign or vertical integration.
Distinguish a short-term price negotiation from a long-term supply-market strategy.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Use a category market map before introducing the Five Forces labels.
Ask students to score supplier power twice: once from procurement's view and once from a risk-management view.
Run the Porter simulation after students know the five forces, then require a specific supplier-power implication.

Case-style example

AlloyWorks depends on specialised coatings for 35% of revenue. Three suppliers control 82% of qualified capacity and the largest holds 55%. Requalifying another source costs £600,000 and takes nine months; redesign costs £1.8m but opens six alternative suppliers. Students score supplier power, estimate the break-even value of redesign over three years, and recommend negotiate, dual-source or redesign. Negotiation preserves near-term cash; redesign reduces structural dependence. Students discover that supplier power is partly created by their own switching costs.

Where students struggle

Students often score Five Forces mechanically. Require evidence for each score and a management action that follows from it.

Reading and a quick check

Use the sourcing material in the core textbook plus an instructor briefing on industry structure. Quick check: ask what evidence would make supplier power fall from 'high' to 'medium'.

Where a simulation fits

The Porter's Five Forces Simulation fits after the five-force framework has been taught. For Supply Chain Management, the debrief should focus particularly on supplier power: how concentration, switching costs and supply-market structure alter sourcing leverage, risk and recommended action.

Where it leads

With supply-market structure established, the course can turn to inventory - the buffer that often absorbs the consequences of uncertainty and supplier constraints.

Central question: How much inventory should a supply chain hold, where should it sit, and what service promise is the inventory intended to protect?

Inventory is a policy choice that trades service, cash, risk and obsolescence. Teach cycle stock and safety stock alongside service levels, lead-time uncertainty, product economics and the bullwhip effect so formulas remain connected to managerial judgement.

What this concept covers

Cycle stock, safety stock, reorder points and service levels.
Demand and lead-time uncertainty.
Inventory turns, days inventory outstanding and carrying cost.
Postponement, pooling and product availability.
The bullwhip effect and coordination mechanisms that reduce amplification.

Learning outcomes

By the end of this concept, students should be able to:

Calculate and interpret core inventory measures.
Evaluate how service targets change safety-stock requirements.
Diagnose bullwhip drivers across a multi-stage chain.
Recommend where inventory should be pooled, postponed or differentiated.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Let teams choose service levels before revealing carrying and stockout costs.
Use a simple beer-game style paper exercise to expose amplification.
Require students to explain the operational story behind every inventory number.

Case-style example

Pulse Retail sells 1,000 units a week with weekly standard deviation of 220 and a three-week replenishment lead time. Each unit costs £24, annual holding cost is 22%, and a 99% service policy implies roughly 2,000 units of safety stock. Students compare 95%, 98% and 99% service policies, calculate carrying-cost differences, then defend a target for a high-margin seasonal product. The finance view favours lower stock; the commercial view protects availability. Students discover that service level is an economic and strategic choice.

Where students struggle

Students frequently think the mathematically highest service level is automatically best. Ask who pays for the inventory, who benefits from availability and what the cost of a miss actually is.

Reading and a quick check

Use the inventory and product-availability chapters of the core textbook. Quick check: ask students to explain why reducing lead-time variability can be more valuable than reducing average lead time.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

Inventory policy is inseparable from logistics. The next concept asks how products should physically move and where fulfilment activities should occur.

Central question: How should transportation, warehousing and fulfilment be configured to meet service targets at an acceptable total cost?

Logistics connects the abstract supply chain to physical customer service. Students should compare modes, consolidation, warehouse roles, fulfilment models and last-mile economics while keeping total cost, carbon and service in view.

What this concept covers

Transportation modes, mode selection and consolidation.
Warehousing roles: storage, cross-docking, postponement and fulfilment.
Distribution channels, direct shipping and intermediated networks.
Last-mile delivery, returns and omnichannel fulfilment.
Total logistics cost, service reliability and environmental implications.

Learning outcomes

By the end of this concept, students should be able to:

Compare logistics options on total cost and service.
Evaluate warehouse and distribution choices for different customer segments.
Recommend a transport portfolio under cost, lead-time and carbon constraints.
Explain how returns and last-mile choices change fulfilment economics.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Give teams an order profile and several transport tariffs.
Compare centralised and regional fulfilment using the same customer promise.
Ask students to state which logistics cost is visible and which cost is displaced elsewhere.

Case-style example

Northline Commerce ships 500,000 orders a year from one warehouse. The facility costs £3.2m annually and average delivery is 2.8 days. Adding two regional fulfilment sites raises fixed cost by £1.4m but cuts average delivery to 1.4 days and parcel cost by £1.10 per order, while adding £2.6m of inventory. Students calculate direct annual effects, estimate carrying cost at 20%, and recommend centralise or regionalise. One view values faster service; the other protects scale economics. Students discover why network and inventory costs must be evaluated together.

Where students struggle

Students may compare freight rates while ignoring inventory, facilities, service failures and returns. Insist on a total-cost boundary before accepting a recommendation.

Reading and a quick check

Use the transportation and distribution-network chapters of the core textbook. Quick check: ask which customer segments genuinely need premium delivery rather than receiving it by default.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

The operational choices made so far now become financial: receivables, inventory and payables determine how long cash remains tied up in the end-to-end cycle.

Central question: How can managers release cash from the supply chain without damaging service, supplier relationships or growth?

This is the course's clearest bridge between operations and finance. Students should calculate DSO, DIO, DPO and the cash conversion cycle, then interpret what changing each lever does to customers, suppliers, inventory availability and liquidity. The goal is balanced policy, not the lowest possible CCC.

What this concept covers

Accounts receivable, inventory and accounts payable as operating policies.
DSO, DIO, DPO and the cash conversion cycle.
Cash tied up in growth and working-capital intensity.
Trade-offs between customer credit, supplier terms, inventory and resilience.
Expansion readiness, liquidity and the link to financial statements.

Learning outcomes

By the end of this concept, students should be able to:

Calculate DSO, DIO, DPO and the cash conversion cycle.
Estimate cash released by changes in working-capital days.
Evaluate operational consequences of tighter policies.
Defend a balanced working-capital strategy and expansion recommendation.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Start from operational decisions, then show their balance-sheet and cash-flow consequences.
Give groups competing policies that each improve one metric but create another risk.
Use the Working Capital Management Simulation as the main applied exercise and require an individual CFO memo.

Case-style example

Luma Kitchens has £90m sales, £54m COGS, DSO of 58 days, DIO of 74 days and DPO of 38 days, giving a 94-day cash conversion cycle. Management can cut DSO by 10 days through stricter credit, cut DIO by 12 days through leaner safety stock, or extend DPO by 8 days. Students estimate cash released by each lever and recommend a combined policy. A cash-first answer tightens all three; a relationship-first answer moves selectively. Students discover that working capital is an operating design problem with financial consequences.

Where students struggle

Students often treat DSO, DIO and DPO as ratios to minimise or maximise. Require them to identify the stakeholder and service consequence of every policy change.

Reading and a quick check

Use the working-capital material in the core textbook and a short operating-cycle note. Quick check: ask why the lowest CCC might not be the best supply-chain policy.

Where a simulation fits

The Working Capital Management Simulation is the primary simulation for this course. Students act individually as CFO of Northwood Furnishings, calculate DSO, DIO, DPO and the Cash Conversion Cycle, make 12 months of receivables, inventory and payables decisions, then recommend Expand, Expand with Caution or Delay Expansion.

Where it leads

Once students can connect operating decisions to cash, they are ready to make larger structural choices about capacity, facilities and global network footprint.

Central question: Where should facilities and capacity sit, and how much flexibility should the network buy before demand or disruption makes that flexibility valuable?

Network design forces students to integrate demand, cost, service, tax, capacity and risk. It is an ideal point to move from local optimisation to end-to-end design. The most useful teaching cases include fixed costs, transport, lead time and at least one risk or flexibility variable.

What this concept covers

Facility location and role.
Capacity scale, utilisation and flexibility.
Network design under demand uncertainty.
Global footprint, landed cost and lead time.
Postponement, dual networks and scenario-based design.

Learning outcomes

By the end of this concept, students should be able to:

Evaluate facility and capacity alternatives using total cost and service.
Identify which assumptions drive a network decision.
Compare scale economies with flexibility and proximity.
Recommend a network under base and disruption scenarios.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Use a two-location decision with an explicit demand forecast and downside scenario.
Ask each team to identify its break-even volume or risk threshold.
Have finance, operations and commercial groups challenge the same network recommendation.

Case-style example

AeroParts can expand a Polish plant at £41 variable cost per unit or open a Portuguese plant at £44 plus £9m annual fixed cost. The second site cuts western-Europe lead time by four days and provides 40% backup capacity. Expected demand is 1.1m units and contribution before these costs is £28 per unit. Students calculate cost at base volume, then value the option under a six-week outage scenario. Consolidation wins on expected cost; diversification wins on continuity. Students discover that network design prices flexibility as well as production.

Where students struggle

Students often choose a network from one forecast. Make them state the demand, service and disruption assumptions that would reverse their recommendation.

Reading and a quick check

Use the network-design and global supply-chain chapters of the core textbook. Quick check: ask what volume or disruption probability would make the second site economically attractive.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

Network footprint creates exposure. The next concept makes risk and resilience an explicit design problem rather than a crisis-management afterthought.

Central question: Which disruptions matter enough to design for in advance, and which resilience investments create genuine optionality rather than expensive redundancy?

Resilience should be taught as an economic design choice. Students need to identify vulnerabilities, estimate impact and recovery, compare mitigation options and distinguish robustness, resilience and viability. Recent disruption research gives lecturers a strong bridge from risk registers to end-to-end adaptation.

What this concept covers

Risk identification across supply, demand, process, logistics, cyber and geopolitical sources.
Exposure, probability, time-to-recover and time-to-survive.
Buffers, dual sourcing, flexibility, visibility and contingency capacity.
Stress testing and scenario design.
Resilience, viability and learning after disruption.

Learning outcomes

By the end of this concept, students should be able to:

Map critical vulnerabilities and dependencies.
Estimate the operational and financial consequences of disruption.
Compare mitigation options using cost, recovery time and strategic value.
Defend a resilience portfolio rather than a single generic response.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Use a dependency map before asking for mitigations.
Run one base case and one severe-but-plausible stress test.
Require students to show what risk remains after the proposed intervention.

Case-style example

Cirrus Electronics sources 70% of a controller from one supplier. A six-week shutdown has a 15% annual probability and costs £1.6m per week after the first two weeks. Dual sourcing costs £1.1m to qualify plus £0.70 on 30% of annual volume; six weeks of buffer stock costs £520,000 a year. Students calculate expected-loss logic, compare buffer and dual-source options, then recommend one or both. Buffer wins on near-term economics; dual sourcing reduces structural dependence. Students discover why resilience decisions depend on recovery profile, not probability alone.

Where students struggle

Students often respond to every risk with more inventory. Ask whether the proposed buffer survives the disruption duration and whether it creates obsolescence or cash consequences.

Reading and a quick check

Assign Wieland and Durach on resilience and Ivanov, Dolgui, Blackhurst and Choi on viability. Quick check: ask students to distinguish a resilient chain from a merely buffered chain.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

Many major risks originate outside the focal firm. The next concept gives students a structured way to analyse political, economic, social, technological, legal and environmental exposure.

Central question: How should managers translate macro-environmental change into specific supply-chain decisions rather than a descriptive list of external factors?

PESTLE becomes useful when each factor is weighted, evidenced and connected to sourcing, location, inventory, logistics or market-access decisions. Teach it as an external-exposure tool for global supply chains, especially around trade policy, regulation, infrastructure, labour, technology and climate.

What this concept covers

Political and geopolitical exposure, trade policy and sanctions.
Economic variables including exchange rates, freight costs, inflation and interest rates.
Social and labour-market considerations.
Technology infrastructure, cyber dependency and automation.
Legal, regulatory and environmental constraints across jurisdictions.

Learning outcomes

By the end of this concept, students should be able to:

Identify material PESTLE factors for a defined supply-chain decision.
Weight external factors by relevance rather than listing them equally.
Translate macro risk into sourcing, network or inventory actions.
Defend enter, delay or redesign decisions under incomplete external information.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Give all teams the same country-entry or sourcing briefing and require evidence-weighted scores.
Separate description from consequence: every factor must end with 'therefore the supply chain should...'.
Use the PESTLE Analysis Simulation after the six categories have been introduced.

Case-style example

Vega Mobility is considering a local plant that requires £34m fixed investment but removes a 12% import tariff. Imported units are £420 cheaper before tariff and freight; local labour cost is 22% lower, electricity prices are 30% more volatile, and a proposed rule could require 50% local content within three years. Students weight the six PESTLE categories, compare landed economics and regulatory exposure, then recommend invest, delay or retain imports. One view values tariff protection; the other values flexibility. Students discover that external analysis matters only when it changes the decision.

Where students struggle

Students tend to create six equally sized paragraphs. Require materiality weights that total 100% and a decision consequence for every high-weight factor.

Reading and a quick check

Use the global-design chapters of the core textbook plus current OECD, UNCTAD and World Bank logistics material. Quick check: ask which external factor would most quickly force a network redesign.

Where a simulation fits

The PESTLE Analysis Simulation fits after students know the six categories. Growth Strategy and Risk Management teams score and weight the same factors, then reconcile their views in an Approval Committee and recommend whether to enter, delay or not enter the market. For this course, the debrief should connect macro factors to sourcing, logistics, network and continuity choices.

Where it leads

Global exposure leads naturally into responsibility: supply-chain decisions have environmental, labour, governance and stakeholder consequences as well as cost and service effects.

Central question: How should a supply chain improve environmental and social performance while remaining operationally and financially credible?

ESG belongs inside supply-chain design rather than at the end as reporting. Students should connect emissions, labour standards, traceability, supplier conduct, circularity and governance to procurement, production, logistics and investment choices. They should also learn where objectives genuinely conflict.

What this concept covers

Scope 1, 2 and selected Scope 3 supply-chain emissions.
Supplier labour, human-rights and due-diligence expectations.
Traceability, responsible sourcing and supplier assurance.
Circularity, waste, packaging and reverse logistics.
Governance, targets, incentives and financial-operational trade-offs.

Learning outcomes

By the end of this concept, students should be able to:

Evaluate environmental and social impacts across a supply chain.
Compare interventions on impact, cost and feasibility.
Design supplier and operational metrics that can be governed.
Defend an ESG action plan that acknowledges trade-offs and implementation risk.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Use one supplier or logistics decision with carbon, labour and cost data.
Ask teams to distinguish target setting from operational delivery.
Use role negotiation where management, investors, regulators and workforce priorities conflict.

Case-style example

GreenThread Apparel spends £80m a year across suppliers. A traceability and low-carbon sourcing programme is forecast to cut supply-chain emissions 28% but raises purchased cost 6%; management has a £4m transition budget and a 20% near-term reduction target. Students choose which supplier categories to convert first, calculate budget coverage and draft three governance metrics. One plan maximises emissions reduction; another protects margin and supplier continuity. Students discover that credible ESG strategy requires sequencing, ownership and operational constraints.

Where students struggle

Students may confuse ambition with implementation. Ask who owns the data, which supplier behaviour must change, what it costs and how non-compliance will be handled.

Reading and a quick check

Use sustainability material in the core textbook and recent OECD environmental-performance work. Quick check: ask for one ESG metric that can be influenced by procurement within a semester and one that cannot.

Where a simulation fits

The ESG Simulation can extend this concept. Management, Investor, Regulator and Union roles negotiate linked operating and ESG terms, making environmental, workforce, investment and profitability consequences visible. Use the activity after students have enough cost and operations knowledge to test whether a sustainability proposal is implementable.

Where it leads

The final concept asks how digital systems and AI can improve end-to-end decisions without allowing data or automation to replace managerial judgement.

Central question: Where do analytics, digital technologies and AI improve supply-chain decisions, and where do weak data, automation bias or model design create new risks?

Finish the course by integrating information, analytics and judgement. Students should be able to distinguish visibility from decision quality, evaluate forecasting and optimisation outputs, ask what data are missing, and design human oversight for AI-supported planning.

What this concept covers

ERP, planning systems, control towers and supply-chain visibility.
Analytics for forecasting, inventory, routing, supplier and risk decisions.
AI and machine learning use cases and their data requirements.
Data quality, interoperability, cybersecurity and model drift.
Human judgement, explainability, governance and decision rights.

Learning outcomes

By the end of this concept, students should be able to:

Evaluate a digital or AI use case against a defined operational problem.
Diagnose whether available data are adequate for the decision.
Interpret model improvements in business rather than technical terms.
Design human oversight, escalation and audit evidence for AI-supported decisions.

Supports the course learning outcomes and provides evidence for constructive alignment.

How to teach it

Compare a dashboard that reports history with a tool that recommends action.
Give students an AI forecast with known missing supplier data and ask what can safely be automated.
End with an integrated capstone that requires assumptions, evidence gaps and a defended decision.

Case-style example

Prism Components' AI forecast reduces MAPE from 18% to 12%, but 25% of supplier lead-time records are incomplete and 14% of disruption alerts are false positives. Automated replanning could save £900,000 a year; one line stop costs £180,000 per hour. Students decide which planning actions can be automated, which need approval and what data-quality threshold should block execution. Automation-first and control-first designs are both defensible. Students discover that better prediction does not remove governance.

Where students struggle

Students can become impressed by technical accuracy metrics without asking whether the recommendation changes a high-consequence decision safely. Require a business threshold and a human escalation rule.

Reading and a quick check

Assign Culot, Podrecca and Nassimbeni on AI in SCM and the OECD 2026 supply-chain report. Quick check: ask what evidence would persuade you to let the system execute a supplier or inventory decision automatically.

Teaching activity

Use a short case, calculation workshop, memo or critique here so students have to make and defend a decision before moving on.

Where it leads

This closes the lifecycle. Students should now be able to connect strategy, planning, sourcing, logistics, cash, network, resilience, external risk, sustainability and digital capabilities in one defended supply-chain recommendation.

Connecting the concepts

This alignment map keeps the course from drifting into disconnected functions. Each stage leaves behind a tangible output, creating formative evidence session by session and making the final summative task an integration rather than a sudden capstone.

Stage of supply-chain work	Principal concepts	Expected student output	Assessment evidence
Align the chain	Strategy, customer promise and performance (1)	Strategic-fit map and balanced performance measures	Formative diagnosis of whether the supply chain supports the customer proposition.
Plan demand and supply	Forecasting, S&OP and coordination (2)	Scenario plan and S&OP decision note	Evidence of assumptions, uncertainty handling and cross-functional reconciliation.
Design the supply base	Sourcing, supplier relationships and supplier power (3-4)	Supplier-selection and supply-market brief	Evidence of total-cost logic, supplier-power diagnosis and negotiation choices.
Control flow	Inventory, service, logistics and fulfilment (5-6)	Inventory policy and logistics recommendation	Evidence that service, cost and asset decisions have been integrated.
Connect operations to cash	Working capital and cash-to-cash (7)	Individual CFO memo	Attributable evidence of calculations, policy choices and operational-financial judgement.
Shape the network	Network design and capacity (8)	Network recommendation with scenario and break-even analysis	Evidence of end-to-end structural trade-offs.
Protect continuity	Risk, resilience and disruption (9)	Stress test and resilience portfolio	Evidence of vulnerability diagnosis and recovery logic.
Scan global exposure	PESTLE and geopolitical factors (10)	External-risk or market-entry recommendation	Evidence of materiality weighting and translation from macro factor to supply-chain action.
Create responsible outcomes	Sustainable, ethical and ESG supply chains (11)	ESG action plan with KPIs	Evidence of environmental, workforce and governance trade-off management.
Integrate and defend	Digital supply chain, AI and course integration (12)	Capstone recommendation and oral defence	Summative evidence of assumption quality, evidence selection, judgement and individual attribution.

Models support supply-chain judgement. They do not make the decision. Credit the interpretation of a model, the challenge to assumptions, the recognition of missing data and the connection between the numerical result and customer, supplier, cash, risk and stakeholder consequences.

Adapting for undergraduate and postgraduate students

The architecture can remain stable across final-year undergraduate, MSc, MBA and executive education cohorts. What changes is scaffolding, technical depth, the amount of ambiguity and how much evidence students must select rather than receive. Do not remove resilience, supplier power, ESG or AI from the undergraduate version simply because they look advanced.

At undergraduate level, give cleaner data, worked examples and more explicit questions. At postgraduate, MBA and executive level, move faster into ambiguous choices, scenario design, negotiation, assumption defence and executive communication. In either case, map contact hours and independent work to local course, module or unit credit rules.

Course design area	Undergraduate version	Postgraduate / MBA / executive version
Course emphasis	Build the end-to-end lifecycle clearly: strategy, planning, sourcing, inventory, logistics, working capital, network, risk and sustainability.	Move faster into ambiguous decisions, scenario design, optimisation trade-offs, supplier negotiation, resilience investment and executive-level defence.
Quantitative depth	Use guided forecasting, inventory, logistics and cash-to-cash calculations with clear data sets.	Expect fuller sensitivity analysis, total-cost models, scenario ranges, network trade-offs and explicit assumption defence.
Supply and procurement	Focus on supplier selection, total cost, relationships and basic supplier-power logic.	Add category strategy, switching costs, bargaining structure, supplier development, negotiation and supply-market redesign.
Planning and inventory	Teach forecast error, S&OP, safety stock and service levels with scaffolding.	Add uncertainty ranges, policy critique, segmentation, exception management and cross-functional S&OP challenge.
Risk and global content	Use structured risk maps and short disruption scenarios.	Use stress tests, viability, geopolitical scenarios, PESTLE weighting and network-option valuation.
Digital and AI	Teach what the tools do, where the data come from and how to verify outputs.	Require governance design, data-quality thresholds, audit evidence, model challenge and explicit human decision rights.
Assessment style	Mark correct concept use, calculation quality, clear reasoning and ability to justify a recommendation.	Mark judgement quality, assumption defence, evidence selection, trade-off analysis and response under challenge.
Simulation use	Use simulations as guided applied sessions with structured preparation, individual reflection and a clear debrief.	Use simulations as decision pressure, assessed evidence, negotiation practice or integrated capstone inputs.

The 12-session syllabus

The syllabus follows the end-to-end decision lifecycle: align the strategy, plan demand and supply, design the supply base, manage flow and cash, shape the network, protect continuity, scan global exposure, improve responsible performance and integrate digital decision support.

The design principle worth preserving is application throughout. Each session should leave behind something a lecturer can review: a plan, sourcing decision, inventory policy, cash recommendation, stress test, risk weighting, ESG action plan or defended capstone.

Indicative 12-session Supply Chain Management course arc. Use alongside the detailed syllabus table below.

Session	Topic	Teaching focus	Student activity	Best-fitting simulation, where relevant	Assessment or output
1	Supply chain strategy and strategic fit	Customer promise, end-to-end process view, cost-service-resilience trade-offs and performance measures.	Map a product supply chain and diagnose whether capabilities fit the competitive strategy.		Strategic-fit map and performance-measure rationale.
2	Demand forecasting, S&OP and coordination	Forecast error, demand scenarios, aggregate planning and reconciliation of sales, operations, finance and supply.	Build base/upside/downside plans and run a short S&OP decision meeting.		S&OP decision note with assumptions and triggers.
3	Procurement, sourcing and supplier relationships	Make-or-buy, supplier selection, total cost, contracts, sourcing strategies and relationship governance.	Compare supplier bids using total cost and risk, then negotiate a supplier strategy.		Supplier-selection recommendation.
4	Supplier power and supply-market analysis	Supplier concentration, switching costs, substitutes, capacity and structural sourcing leverage.	Score the supply market, test supplier-power evidence and connect the result to sourcing actions.	Porter's Five Forces	Supply-market brief with supplier-power action.
5	Inventory, service levels and the bullwhip effect	Cycle and safety stock, service policy, uncertainty, pooling and coordination.	Calculate alternative inventory policies and diagnose amplification across the chain.		Inventory and service-policy memo.
6	Logistics, transport, warehousing and fulfilment	Modes, distribution design, warehousing, omnichannel fulfilment, returns and total logistics cost.	Compare centralised and regional fulfilment against cost, service and carbon criteria.		Logistics design recommendation.
7	Working capital and the cash-to-cash cycle	DSO, DIO, DPO, Cash Conversion Cycle, liquidity, customer and supplier trade-offs and expansion readiness.	Act as CFO, evaluate working-capital policy and connect operating decisions to cash.	Working Capital Management	Individual CFO memo and expansion recommendation.
8	Network design, capacity and global footprint	Facility roles, capacity scale, flexibility, landed cost, service and scenario-based network design.	Evaluate a two-location network under base and disruption scenarios.		Network design recommendation with break-even logic.
9	Supply chain risk, resilience and disruption response	Vulnerability, time-to-recover, buffers, dual sourcing, stress tests and viability.	Stress-test a critical dependency and compare resilience investments.		Resilience portfolio and stress-test memo.
10	Global supply chains, PESTLE and geopolitical exposure	Trade policy, economic, social, technology, legal and environmental drivers of network and sourcing decisions.	Weight external factors and convert them into enter, delay or redesign decisions.	PESTLE Analysis	Market-entry or sourcing-risk recommendation.
11	Sustainable, ethical and ESG supply chains	Emissions, labour, traceability, circularity, supplier assurance and governance.	Sequence an ESG supply-chain plan under budget and operating constraints.	ESG	ESG action plan with operational KPIs.
12	Digital supply chains, analytics, AI and integration	Visibility, planning systems, AI use cases, data quality, automation governance and course integration.	Critique an AI-supported planning proposal and defend an end-to-end supply-chain recommendation.		Integrated capstone recommendation and oral defence.

10-week course structure

A 10-week version should compress adjacent decisions without losing the lifecycle. Combine supplier power with sourcing, inventory with logistics, and keep the cash, resilience, global and sustainability decisions visible.

Week	Compressed topic
1	Strategy, customer promise and strategic fit
2	Forecasting, S&OP and coordination
3	Procurement, sourcing, supplier relationships and supplier power
4	Inventory, logistics, service levels and fulfilment
5	Working capital and cash-to-cash cycle - Working Capital Management Simulation
6	Network design, capacity and global footprint
7	Risk, resilience and disruption stress testing
8	Global supply chains and PESTLE Analysis Simulation
9	Sustainable supply chains and ESG Simulation
10	Digital supply chains, AI and integrated capstone

14-week course structure

A 14-week version creates room to separate forecasting from S&OP, deepen supplier analysis, add a dedicated logistics session and allow more debrief or capstone time rather than simply adding more theory.

Week	Expanded topic
1	Supply chain strategy and strategic fit
2	Performance, process views and customer-service segmentation
3	Demand forecasting and uncertainty
4	S&OP, aggregate planning and coordination
5	Procurement, sourcing and supplier relationships
6	Supplier power, industry structure and Porter's Five Forces Simulation
7	Inventory policy, service levels and the bullwhip effect
8	Transportation, warehousing, fulfilment and returns
9	Working capital and Working Capital Management Simulation
10	Network design, capacity and global footprint
11	Risk, resilience, stress testing and viability
12	Global supply chains and PESTLE Analysis Simulation
13	Sustainable, ethical supply chains and ESG Simulation
14	Digital supply chains, AI governance and capstone defence

Simulations: What they are and why they belong in this course

Supply Chain Management is a decision-led subject. Lectures can teach forecasting, supplier selection, safety stock, network design and working-capital measures, but students only see the system when they must make a choice that moves cost, service, cash and risk at the same time.

Simulations belong after the relevant concepts because they expose trade-offs, role incentives and incomplete information. They should not be used as entertainment at the end of term or as a substitute for conceptual teaching. The useful pattern is preparation, applied decision, structured debrief and, where needed, an individual output that makes student evidence attributable.

There is also an accreditation and quality-assurance case for structured experiential learning when it produces evidence that students can apply and evaluate rather than only recall. If you need the accreditation language itself, what AACSB and AMBA say about simulations sets it out.

Traditional case study vs simulation

Teaching format	What it does well	Limitation	Best use in this course
Traditional case study	Gives students a rich situation, exhibits and a defined decision or discussion question.	Students can discuss a decision without experiencing sequential consequences or role conflict.	Best for introducing strategy, sourcing, inventory, network and resilience logic before a live application.
Simulation	Places students into a decision process where choices, trade-offs, roles and outcomes become visible.	Needs preparation and debriefing; otherwise students may remember the activity but miss the concept.	Best once students know the theory and need to apply working-capital, external-risk, supplier-power or ESG judgement.

Where simulations fit

The primary fit is Working Capital Management because it connects inventory and operating policy to cash-to-cash performance through an individual CFO decision. PESTLE Analysis is the strongest secondary deep dive because global supply chains are exposed to macro factors that can change sourcing, logistics, network and market-entry choices. Porter's Five Forces adds a targeted supplier-power lens, while ESG extends environmental, stakeholder and operational consequences.

Course point	Simulation	How to use it	Why it fits
Session 4: supplier power and supply-market analysis	Porter's Five Forces	Use after the five-force framework. Ask students to interpret bargaining power of suppliers specifically and connect it to procurement strategy.	Shows how suppliers, buyers, entrants, substitutes and rivalry combine into an industry structure; supplier power provides the direct supply-management bridge.
Session 7: working capital and cash-to-cash	Working Capital Management	Use as the primary simulation once students know inventory and operating-cycle measures.	Turns DSO, DIO, DPO and the Cash Conversion Cycle into sequential CFO decisions with visible liquidity and operating consequences.
Session 10: global external exposure	PESTLE Analysis	Use after students know the six categories and can translate external change into network and sourcing consequences.	Creates evidence-weighted disagreement over political, economic, social, technological, legal and environmental factors.
Session 11: sustainable and ethical supply chains	ESG	Use after students can connect supplier, production and workforce choices to operational and financial outcomes.	Extends sustainability into environmental, stakeholder, workforce, governance and financial trade-offs through role negotiation.

The Working Capital Management Simulation is the primary applied simulation for this course. Each student takes the role of CFO of Northwood Furnishings and manages working capital across a simulated 12-month period. The activity begins with calculations and policy choices, then moves into sequential operating decisions involving receivables, inventory, payables, customer credit, supplier relationships, collections, cash flow, capital expenditure and risk. Students finish by recommending Expand, Expand with Caution or Delay Expansion.

Why it fits here

By Session 7, students have already studied demand, sourcing, inventory and logistics, so DSO, DIO and DPO can be interpreted as consequences of operating policy rather than isolated finance ratios. This is the point where the course can make the cash-to-cash link explicit.

What students do

Review Northwood Furnishings, the CFO mission and the expansion decision.
Calculate receivables, inventory, payables, turnover measures and the Cash Conversion Cycle under alternative working-capital strategies.
Submit initial strategy choices and a written rationale, then review the reflection stage.
Manage 12 simulated months of working-capital and operating decisions while metrics and financial statements update.
Compare liquidity, margins, risk and ending financial-statement outputs before making the final expansion recommendation.
Use the final reflection to compare decision paths across the cohort while retaining individual evidence for marking or feedback.

Recommended course placement

At the end of Session 7 after students know DSO, DIO, DPO, inventory trade-offs and supplier/customer implications.
Inside a two- or three-hour applied class, or divided across teaching blocks with the final reflection used in the next session.
Before a network or resilience assignment, so students carry cash and liquidity consequences into later structural decisions.
As a source of individual evidence within a group-heavy course.

Knowledge students should have before the simulation

Basic working-capital definitions.
DSO, DIO, DPO and Cash Conversion Cycle calculations.
Why inventory, customer credit and supplier terms affect operations as well as cash.
Basic interpretation of income statement, balance sheet and cash-flow consequences.

Delivery format

Area	Recommended Format
Duration	2-3 hours. Run in one session or divide across teaching blocks.
Recommended Format	Single-player CFO simulation. Each participant independently manages Northwood Furnishings.
Level	UG, PG and MBA.
Prior knowledge	Beginner accessible. A short introduction to DSO, DIO, DPO and the Cash Conversion Cycle helps students use the activity for judgement rather than first exposure.
Delivery	In class, online or hybrid. The web-based simulation can be delivered through LMS/LTI or the Finsimco website.
Evidence	Individual calculations, policy choices, rationales, scores, ending metrics and the final expansion recommendation.

Why it fits here

Supply Chain Management students can use the framework to translate macro conditions into sourcing, network, logistics and continuity consequences. The designed disagreement helps stop PESTLE becoming six descriptive headings and makes materiality, evidence quality and operational consequence visible.

What students do

Review the common case briefing and role-specific Growth Strategy or Risk Management mandate.
Divide the six PESTLE factors across the team and analyse the same factual base from different risk preferences.
Score each factor, allocate weights that total exactly 100%, and write a concise evidence-based rationale.
Enter an Approval Committee where paired teams compare opening positions factor by factor.
Negotiate an agreed assessment and commit to enter, delay or do not enter.
Review cohort weighting patterns and opposite conclusions in the debrief, then translate the factors into supply-chain implications.

Recommended course placement

At the end of Session 10 after global network, sourcing and resilience foundations.
Inside a two-hour class if pre-reading is completed before the session, or split across two classes.
Before the ESG session so students can distinguish external environmental and regulatory context from the firm's own ESG response.
As evidence for a short global-supply-chain risk memo, with an individual reflection added where individual attribution is required.

Knowledge students should have before the simulation

The six PESTLE categories.
Basic global supply-chain and network decisions.
Why trade policy, regulation, infrastructure, labour and technology can change sourcing or location choices.
How to distinguish a factor from its operational consequence.

Delivery format

Area	Recommended Format
Duration	2 hours in two 60-minute stages, with briefing and debrief around the timed work.
Recommended Format	Role-based PESTLE. Growth Strategy and Risk Management teams analyse the same case, then negotiate one agreed assessment in an Approval Committee.
Level	UG, PG and MBA.
Prior knowledge	Beginner accessible. A short introduction to the six PESTLE categories is sufficient.
Delivery	In class, online or hybrid. Teams collaborate within the digital interface and the professor can pause, stop or resume stages.
Evidence	Factor scores, weights, written rationales, negotiated outcomes, cohort comparison and an individual reflection if the lecturer requires attributable evidence.

AI impact on Supply Chain Management teaching

AI changes the speed of first-draft supply-chain work. Students can generate demand narratives, supplier summaries, risk registers, route ideas, inventory explanations, code and polished decision memos quickly. That makes evidence selection, data quality, assumptions, missing information and governance more important assessment signals than presentation polish.

A defensible permitted-use policy is to allow AI for structuring, drafting, coding support and checking where declared, while keeping analytical choices, source verification, calculations and final recommendations the student's responsibility. Credit should shift toward assumptions, sensitivity, evidence, model limits and the ability to defend a decision live.

How AI is changing the subject

In Supply Chain Management, AI can improve forecasting, exception detection, supplier intelligence, inventory planning, routing, risk sensing and decision support. The core teaching question is not whether AI is useful. It is what data the tool sees, what objective it optimises, what risk it may miss, which actions can be automated and where a human must approve or challenge the recommendation.

Implications for teaching and assessment

Teaching area	AI implication	Lecturer response
Forecasting and S&OP	AI can generate forecasts, narratives and scenario commentary quickly.	Require students to show the data window, error measure, scenario range and which decision changes if the forecast is wrong.
Supplier analysis	AI can summarise supplier information and market structure but may flatten source quality or confuse company claims with verified evidence.	Mark source verification, supplier-power logic and explicit evidence gaps.
Inventory and logistics	AI can explain formulas, suggest parameters and support routing or policy analysis.	Require students to defend service targets, cost boundaries and operational constraints rather than accept tool defaults.
Risk and resilience	AI can produce long risk lists and disruption scenarios.	Credit prioritisation, recovery logic, stress-test design and the recognition of dependencies the model cannot observe.
ESG and responsible sourcing	AI can draft supplier codes and sustainability plans.	Require metrics, implementation ownership, trade-off analysis and evidence for environmental or workforce claims.
Decision memos	AI can produce polished executive writing.	Use individual assumptions notes, live challenge and oral defence so marks reflect judgement rather than prose quality.

Course session	Core textbook chapter	Supplement with
Session 1 - Supply chain strategy, fit and performance	Ch. 1: Understanding the Supply Chain; Ch. 2: Achieving Strategic Fit in a Supply Chain; Ch. 3: Supply Chain Drivers and Financial Performance
Session 2 - Demand forecasting, planning and coordination	Ch. 6: Demand Forecasting in a Supply Chain; Ch. 7: Planning Supply in a Supply Chain: Aggregate Planning; Ch. 8: Sales and Operations Planning in a Supply Chain; Ch. 9: Coordination in a Supply Chain
Session 3 - Sourcing strategy and supplier economics	Ch. 14: Sourcing Decisions in a Supply Chain	Porter's Five Forces supplier-power exercise
Session 4 - Supplier markets, negotiation and relationship design	Ch. 14: Sourcing Decisions in a Supply Chain, revisited through supplier segmentation and supply-market analysis	Porter's Five Forces application
Session 5 - Inventory, safety stock and product availability	Ch. 10: Managing Economies of Scale in a Supply Chain: Cycle Inventory; Ch. 11: Managing Uncertainty in a Supply Chain: Safety Inventory; Ch. 12: Growing Supply Chain Profits Using Product Availability
Session 6 - Transportation and distribution decisions	Ch. 13: Transportation in a Supply Chain	Reading 5
Session 7 - Working capital and cash-to-cash performance	Ch. 3: Supply Chain Drivers and Financial Performance, linked back to Chs. 10-14 on inventory and sourcing decisions	Working Capital Management Simulation
Session 8 - Network design, capacity and global optionality	Ch. 4: Network Design in the Supply Chain; Ch. 5: Building and Evaluating Optionality in Global Supply Chain Networks	Reading 7
Session 9 - Supply chain risk, resilience and disruption	Ch. 19: Building Resilience to Disruption in Supply Chains	Readings 1, 2, 4 and 6
Session 10 - Global supply networks and external environment	Ch. 5: Building and Evaluating Optionality in Global Supply Chain Networks; Ch. 19: Building Resilience to Disruption in Supply Chains	PESTLE Analysis Simulation
Session 11 - Sustainability, ESG and responsible sourcing	Ch. 17: Sustainability and the Supply Chain	ESG Simulation and Reading 8
Session 12 - Technology, analytics, AI and course integration	Ch. 15: Information Technology in a Supply Chain; Ch. 18: Segmentation and Tailoring of Supply Chains	Readings 3 and 8

Real case studies to use

The fictional numerical cases in Concept Details are licence-free seminar exercises with complete figures. For a longer assessed case, the following two verified options bring current supply-chain resilience, logistics transformation and responsible sourcing into the room.

2023

Building Resiliency in McDonald's Supply Chain

Authors: David E. Bell, Damien P. McLoughlin and David Lane

Publisher: Harvard Business School / Harvard Business Publishing

Why it fits: A strong resilience and responsible-sourcing case because it connects global supplier relationships, climate and regulatory pressures with the need to keep a large operating system supplied.

Best placement: Session 9 or 11

Assessment fit: Resilience memo, supplier-risk discussion or ESG supply-chain recommendation.

View case study

2024

Maersk's business-model transformation: Building a bridge over troubled water?

Authors: Bent Petersen and Rikke Borgstrom Hansen

Publisher: Copenhagen Business School / Harvard Business Publishing

Why it fits: Useful for logistics strategy, integration and transformation because students can debate whether an ocean carrier should become a broader end-to-end logistics provider and what capabilities that requires.

Best placement: Session 6 or 12

Assessment fit: Strategy memo, transformation debate or capstone integration.

View case study

Sample session plan: Working capital and the cash-to-cash cycle

Best placement: Session 7, after students have studied sourcing, inventory and logistics. Session aim: move students from calculating operating-cycle measures to defending a balanced policy for customers, inventory, suppliers, liquidity and expansion.

Session stage	Time	Teaching purpose	Lecturer approach	Student output
Pre-class preparation	Before class	Give students the technical foundation and Northwood context without using class time for first exposure.	Assign a short reading on DSO, DIO, DPO and the Cash Conversion Cycle. Ask for a one-page calculation sheet and one question about a policy trade-off.	One-page calculation sheet plus a stated uncertainty.
Opening frame	10 minutes	Turn ratios into a supply-chain decision.	Ask: 'Is the lowest Cash Conversion Cycle always the best outcome?' Collect a fast vote before discussion.	A position that can be revisited after the exercise.
Mini-lecture	20 minutes	Connect receivables, inventory and payables to customers, suppliers, service, liquidity and expansion.	Work through one cash-release calculation and one case where the metric improves but the operating outcome worsens.	Students annotate which stakeholder bears each policy cost.
Policy analysis	25 minutes	Force prioritisation before the simulation.	Teams compare stricter credit, lower safety stock and longer supplier terms, estimate cash effects and identify red lines.	A three-lever policy recommendation.
Applied simulation	90-120 minutes	Turn policy into sequential decisions.	Run the Working Capital Management Simulation through calculations, reflection and the 12-month management stage. Pause only for neutral clarification.	Individual calculations, decisions, rationales and final expansion view.
Debrief	20 minutes	Connect outcomes to course concepts.	Compare high and low CCC outcomes, ask which teams protected supplier/customer relationships, and identify the decision that most changed liquidity.	Individual note on one decision they would reverse and why.
Assessment follow-up	After class	Create attributable evidence and link to the next network session.	Set a 600-900 word CFO memo: Expand, Expand with Caution or Delay. Require two numbers, one operational trade-off, one risk and one assumption that could reverse the recommendation.	Individual CFO memo or short oral defence.

Why this session matters: it is where the course makes the operational-financial connection explicit. Students see that supply-chain choices influence cash and financial statements, and that a finance-led metric can create customer or supplier consequences if it is optimised in isolation.

Assessment options for a Supply Chain Management course

The intended learning outcomes reward judgement rather than recall, so assessment should ask students to recommend and defend. A common defensible pattern is a group applied output carrying most of the summative weight plus an individual component that makes assumptions, reflection or oral defence attributable, subject to local regulations.

Use the options below as a menu, not a requirement to set six assessments. Most courses will use two major assessment points and gather lighter formative evidence across the other sessions.

Assessment option	Indicative weight	Format	What it tests
Integrated supply-chain decision memo	25-40%	Group	Students recommend a supply-chain design or response using strategy, planning, sourcing, inventory, network, risk and financial evidence. Pair with an individual assumptions note or oral defence.
Working-capital CFO memo	15-30%	Individual	Students use the Working Capital Management Simulation or a parallel case to calculate cash-to-cash measures, explain policy trade-offs and defend expansion readiness.
Network and resilience proposal	15-30%	Group or individual	Students compare network options, stress-test a disruption and justify the resilience portfolio rather than simply listing mitigations.
Supplier and external-risk brief	10-25%	Group	Students connect supplier power and PESTLE evidence to sourcing, country or market-entry choices, with an individual challenge question to test attribution.
ESG supply-chain action plan	10-25%	Group	Students sequence environmental, supplier and workforce actions against cost, operational feasibility, metrics and governance.
Oral defence or viva	10-20%	Individual	Students defend assumptions, evidence selection, model limits and recommendations under questioning. Particularly useful where AI-assisted drafting is permitted.

Moderation and free-riding: >publish a rubric before the task, keep criteria stable across groups, retain a short audit trail for any moderation adjustment, and add individual evidence where the shared output cannot show who made which argument. Simulation data can support that academic judgement but should never become an automatic course grade.

Simulation evidence is most useful when it is attached to an assessment question and moderated like any other evidence source. Do not convert a platform score directly into a course mark. Mark the student's use of concepts, assumptions, evidence, decision quality and reflection, and add individual evidence where the activity is team-based.

Grading with the Working Capital Management Simulation

The simulation is individual: each student acts as CFO of Northwood Furnishings, works through calculations and working-capital policies, manages 12 simulated months and makes a final expansion recommendation.

Accuracy and interpretation of DSO, DIO, DPO and Cash Conversion Cycle calculations.
Quality of receivables, inventory and payables policy choices.
Recognition of customer, supplier, liquidity, margin and risk consequences.
Coherence of the final Expand, Expand with Caution or Delay recommendation.
Quality of the written rationale and evidence drawn from the student's own simulation path.

Grading with the PESTLE Analysis Simulation

Growth Strategy and Risk Management teams score and weight the same six external factors, then reconcile their views in an Approval Committee.

Evidence used to support scores and the logic of weights totalling 100%.
Materiality: whether high-weight factors genuinely change the supply-chain decision.
Ability to connect macro factors to sourcing, network, logistics or continuity implications.
Quality of challenge and negotiated recommendation.
Individual reflection explaining one point of disagreement and how the student would update the recommendation.

Grading with the Porter's Five Forces Simulation

Growth and Risk teams assess new entrants, supplier power, buyer power, substitutes and rivalry before recommending Go, Conditional Go or Reject. For this course, supplier power should receive explicit supply-management interpretation.

Evidence-based force scores rather than generic framework statements.
Supplier-power analysis: concentration, switching, leverage and consequences for sourcing strategy.
Consistency between the five-force assessment and the final recommendation.
Ability to challenge assumptions in the committee discussion.
Short individual note translating one force into a procurement or supply-risk action.

Grading with the ESG Simulation

Management, Investor, Regulator and Union teams analyse role-specific evidence and negotiate connected environmental, workforce, investment and operating terms while keeping the company financially viable.

Evidence quality and role-specific analysis before negotiation.
Operational and financial consistency of proposed ESG terms.
Recognition of stakeholder trade-offs rather than single-objective optimisation.
Quality of negotiation, compromise and final policy coherence.
Individual reflection on one compromise, one rejected option and one implementation metric.

The platform records what each team decided, the terms they agreed and comparative outcomes across groups. That evidence supports your academic judgement; it does not replace it, and it does not establish which individual student made which argument.

For moderation, keep the rubric stable across groups, record any oral-defence adjustments, and use individual evidence to address free-riding rather than trying to infer individual contribution from a team result.

Common mistakes when teaching Supply Chain Management

The strongest courses do not only teach students to calculate or describe. They repeatedly ask students to use operations, finance, strategy and evidence to make and defend end-to-end decisions. The mistakes below weaken that integration.

Common mistake	Why it weakens the course	Better approach
Teaching Supply Chain Management as a list of functions	Students can describe procurement, logistics and inventory without seeing how one decision changes service, cash, risk and other stages.	Use an end-to-end lifecycle and require every major task to show cross-functional consequences.
Optimising unit cost instead of total system value	The cheapest supplier, mode or facility can increase inventory, service failure, working capital or risk.	Define the cost boundary explicitly and include service, cash and risk before accepting a recommendation.
Treating forecasts as facts	Students optimise one number and miss the cost of being wrong.	Use scenario ranges, forecast error and replanning triggers.
Teaching inventory only as a formula	Students can calculate safety stock without knowing which service promise it protects.	Link service level, carrying cost, lead-time uncertainty and customer consequence in the same decision.
Ignoring supplier power	Procurement becomes a price-comparison exercise even when concentration and switching costs determine leverage.	Teach supply-market structure and use supplier power to shape sourcing, contracting and resilience.
Equating resilience with more buffer stock	Inventory may not survive a long disruption and can create cash or obsolescence costs.	Compare buffers with dual sourcing, flexibility, visibility and redesign using recovery logic.
Separating working capital from operations	DSO, DIO and DPO become finance ratios with no link to customers, inventory or suppliers.	Make cash-to-cash a supply-chain decision and mark the operational consequences of each policy.
Adding ESG as a reporting week	Students discuss targets without seeing supplier, production, workforce and cost implications.	Embed ESG into sourcing and operations decisions, then require implementation metrics and governance.
Letting AI replace evidence selection	Polished analysis can hide weak data, missing assumptions and automation bias.	Mark evidence quality, missing information, scenario challenge and human decision rights.
Running simulations before students hold the concepts	Students may remember the competition but not the learning.	Place each simulation after the relevant framework and build a structured debrief and attributable follow-up.

Frequently asked questions

These FAQs cover subject design first, then practical delivery, assessment and copy-paste utility for module documentation.

Operations Management often focuses more deeply on processes, capacity, quality and production inside an organisation. Supply Chain Management follows flows across organisational boundaries - suppliers, sourcing, logistics, inventory, customers, cash and external risk.

The subjects overlap substantially, so a programme can share selected sessions while keeping the end-to-end network lens explicit here.

Yes, as supporting evidence, but not as an automatic mark. For team simulations, The platform records what each team decided, the terms they agreed and comparative outcomes across groups. That evidence supports your academic judgement; it does not replace it, and it does not establish which individual student made which argument.

Use a rubric that rewards concept use, evidence, assumptions, decision quality and reflection rather than leaderboard position alone.

Sample descriptor: This module develops students' ability to analyse and design end-to-end supply chains. It integrates strategy, demand and supply planning, sourcing, supplier relationships, inventory, logistics, working capital, network design, resilience, global risk, sustainability and digital technologies. Students apply quantitative and qualitative evidence to make and defend supply-chain decisions under uncertainty.

Related course guides and teaching resources

Operations Management Course Guide

Adjacent coverage for process, capacity, quality and operating-system design.

International Business Course Guide

Useful for trade, country risk, institutions and cross-border strategy.

Business Analytics Course Guide

Useful when the curriculum needs more data, modelling and decision-analytics depth.

Introduction to Finance Course Guide

Useful for strengthening cash flow, working capital and investment logic.

Working Capital Management Simulation

Primary applied fit for the cash-to-cash and operating-policy stage.

View simulation

PESTLE Analysis Simulation

Secondary applied fit for global external exposure and market-entry risk.

View simulation

Next steps for your module

Use the page as a design scaffold rather than a prescription. Start with your programme learning outcomes and credit rules, choose the 10-, 12- or 14-session arc, select the cases and simulations that fit your cohort, then make sure every summative mark can be traced to a published intended learning outcome.

Course design

Map your current syllabus

Course design

Map your current syllabus

Compare your existing sessions against the twelve-concept lifecycle. Look for missing links between planning, sourcing, flow, cash, network, resilience and responsible performance.

Review the 12-session arc

Applied learning

Choose the decision point

Applied learning

Choose the decision point

Place an applied simulation only after students hold the relevant concepts, then plan the debrief and individual evidence before you run it.

See where simulations fit

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Discuss course fit

Request information

Discuss course fit

Share your cohort, course length and teaching objectives with Finsimco to discuss which applied activities fit the syllabus you already own.

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Book a Demo

See the simulations in context

Book a demo

See the simulations in context

Review the professor and student experience, delivery options and the evidence available for debrief and assessment support.

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What should a Supply Chain Management course cover?

Supply Chain Management course overview

Why this course matters

Career path fit

Typical course structure

Applied learning opportunities

Who this guide is for

What does a Supply Chain Management course cover?

The course at a glance

Learning outcomes

Core concepts

Concept Details

Concept 1 - Supply chain strategy, strategic fit and performance

Concept 2 - Demand forecasting, S&OP and supply chain coordination

Concept 3 - Procurement, sourcing and supplier relationships

Concept 4 - Supplier power, industry structure and supply-market analysis

Concept 5 - Inventory management, service levels and the bullwhip effect

Concept 6 - Logistics, transportation, warehousing and fulfilment

Concept 7 - Working capital, cash-to-cash cycle and financial trade-offs

Concept 8 - Network design, capacity and global footprint

Concept 9 - Supply chain risk, resilience and disruption response

Concept 10 - Global supply chains, PESTLE and geopolitical exposure

Concept 11 - Sustainable, ethical and ESG supply chains

Concept 12 - Digital supply chains, analytics, AI and end-to-end performance

Connecting the concepts

Adapting for undergraduate and postgraduate students

The 12-session syllabus

Adapting the syllabus to 10-week and 14-week courses

Simulations: What they are and why they belong in this course

Traditional case study vs simulation

Where simulations fit

Working Capital Management Simulation