Supplier Evaluation and Global Supply-Base DesignIntroductionGlobal sourcing decisions determine more than purchase price. They shape product quality, continuity of supply, innovation access, regulatory exposure, working capital, carbon impact and the resilience of the entire value chain. A supplier that appears inexpensive may create substantial hidden costs through defects, delays, weak engineering support, compliance failures or geopolitical exposure. Conversely, a higher-priced supplier may generate superior total value through reliability, flexibility and innovation. Supplier evaluation is therefore a structured decision process for assessing alternative suppliers against strategically relevant criteria. Supply-base design is the related process of deciding how many suppliers to use, where they should be located, how volumes should be allocated and how relationships should be governed. These decisions are interdependent: the appropriate number of suppliers depends on supplier capability, demand uncertainty, switching costs, risk exposure and the strategic importance of the purchased item. This chapter presents weighted scorecards, multicriteria decision-making, financial and operational analysis, ESG evaluation, supply-base rationalisation and single-, dual- and multisourcing strategies. It also examines limitations of scoring models and the governance required to ensure that supplier selection is ethical, evidence-based and resilient. Learning ObjectivesBy the end of this chapter, readers should be able to: - Explain the strategic purpose and stages of supplier evaluation.
- Construct and apply a weighted supplier scorecard.
- Distinguish measurable criteria, indicators, thresholds and qualitative judgements.
- Use multicriteria decision models, including weighted-sum and TOPSIS-style reasoning.
- Evaluate supplier capability, quality, capacity, technology, financial health, location and ESG performance.
- Analyse the advantages and risks of single, dual and multisourcing.
- Rationalise a supply base without destroying resilience or innovation.
- Design governance, audit and review processes for global suppliers.
1. Supplier Evaluation as a Strategic ProcessSupplier evaluation usually involves six linked stages: - Define the requirement. Specify technical, commercial, service, regulatory and sustainability requirements.
- Prequalify suppliers. Eliminate firms that fail mandatory requirements such as licences, certifications, capacity or financial viability.
- Collect evidence. Use requests for information, requests for quotation, audits, site visits, references, sample testing and financial analysis.
- Score and compare alternatives. Apply transparent criteria and document assumptions.
- Validate the decision. Conduct technical trials, capability studies, negotiations, risk reviews and cross-functional approvals.
- Monitor performance. Re-evaluate suppliers using actual delivery, quality, responsiveness, cost and ESG results.
A scorecard is not a substitute for judgement. It is a disciplined way of making judgement visible, comparable and reviewable. A supplier with a high aggregate score should not be selected if it fails a non-negotiable safety, legal, quality or ethical requirement. Important terminology- Supplier qualification: Verification that a supplier meets minimum requirements before commercial award.
- Supplier selection: Choosing one or more qualified suppliers for an award.
- Supplier segmentation: Grouping suppliers according to strategic importance, risk and relationship requirements.
- Supply-base rationalisation: Reducing, restructuring or reallocating suppliers to improve value and control.
- Total cost of ownership (TCO): All relevant acquisition, operating, risk and end-of-life costs rather than invoice price alone.
- Critical supplier: A supplier whose failure could materially affect safety, revenue, customers, compliance or continuity.
2. Designing Evaluation CriteriaCriteria should reflect the buying organisation’s strategy and the characteristics of the purchase. A generic checklist is insufficient. For example, semiconductor sourcing may emphasise process capability, yield, intellectual property protection and capacity reservation; humanitarian procurement may emphasise speed, local access and safeguarding; aerospace sourcing may emphasise certification, traceability and long-term engineering capability. 2.1 Capability and qualityCapability includes equipment, process maturity, skilled personnel, engineering competence, quality systems and the ability to scale. Quality assessment should distinguish between claimed systems and demonstrated performance. Useful evidence includes: - defect rates, returns and corrective-action history;
- process capability studies and control plans;
- certifications such as ISO 9001, IATF 16949 or sector-specific approvals;
- first-pass yield and cost of poor quality;
- traceability, calibration and change-control systems;
- results from sample, pilot and production validation.
For a stable, approximately normal process, process capability may be assessed using: Cp = (USL − LSL) ÷ (6σ) where USL and LSL are the upper and lower specification limits and σ is the within-process standard deviation, all expressed in the same physical units. Cp measures potential capability assuming the process is centred. A centring-sensitive index is: Cpk = min[(USL − μ) ÷ (3σ), (μ − LSL) ÷ (3σ)] where μ is the process mean. These indices are meaningful only when the process is statistically stable, measurements are reliable and the distributional assumptions are reasonable. They should not be used to disguise unstable or non-normal processes. 2.2 Capacity and flexibilityCapacity analysis must consider effective capacity, not merely installed machinery. Effective capacity is constrained by labour, maintenance, tooling, utilities, materials, yield, changeover time and competing customer commitments. Buyers should examine: - current utilisation and available headroom;
- capacity by process step and bottleneck;
- capacity expansion lead time;
- minimum order quantities and batch economics;
- surge, postponement and changeover capability;
- dependence on subcontractors and critical equipment;
- business-continuity and recovery plans.
A supplier reporting 30% unused machine time may still lack practical capacity if its bottleneck is a specialised coating process or a constrained skilled-labour pool. 2.3 Technology and innovationTechnology evaluation concerns both present capability and future relevance. Criteria may include product-development competence, digital integration, automation, cybersecurity, intellectual-property governance, data interoperability and the ability to co-innovate. Buyers should distinguish genuine innovation capacity from marketing claims by examining patents where relevant, development lead times, engineering staffing, released improvements and prior joint projects. Technology can also create dependency. Proprietary tooling, software interfaces or unique process knowledge may increase switching costs. The evaluation should therefore ask who owns tooling, designs, data, models and improvements, and whether alternative technologies exist. 2.4 Financial healthFinancial weakness can interrupt supply even when operational performance is currently satisfactory. Analysis should consider liquidity, leverage, profitability, cash generation, customer concentration, covenant pressure, ownership changes and access to finance. Ratios are screening indicators rather than definitive conclusions. For example: Current ratio = Current assets ÷ Current liabilities Debt-to-equity ratio = Total debt ÷ Shareholders’ equity The current ratio is dimensionless and indicates short-term balance-sheet coverage; it does not prove that assets are liquid or that cash flows are healthy. Debt-to-equity is affected by accounting policies, industry structure and lease treatment. Analysis should use audited statements, trend data, credit information and management discussion rather than a single ratio threshold. 2.5 Location and network exposureLocation affects transport cost, lead time, duties, inventory, labour access, infrastructure, climate exposure, political risk and market access. Location should be assessed at network level rather than by country label alone. Relevant questions include: - Is the site exposed to earthquakes, floods, drought or extreme heat?
- Are ports, roads, energy and telecommunications reliable?
- Does the supplier depend on one regional cluster or sub-tier source?
- What are the customs, sanctions, export-control and local-content implications?
- How quickly can production be transferred?
- Does distance increase inventory and working-capital requirements?
Geographic diversification is not automatically resilience. Two suppliers in different countries may depend on the same upstream chip, chemical, port or logistics corridor. 2.6 ESG and responsible procurementEnvironmental, social and governance evaluation should be risk-based, evidence-based and relevant to the category. Environmental criteria can include emissions, energy sources, water use, waste, hazardous substances and product circularity. Social criteria include labour rights, health and safety, forced-labour risk, working hours, wages, discrimination and community impacts. Governance criteria include anti-bribery controls, whistleblowing, data protection, tax integrity and subcontractor oversight. Buyers should avoid treating a supplier’s policy document as proof of performance. Evidence may include verified emissions data, audit findings, worker interviews, grievance data, permits, corrective-action closure and sub-tier mapping. ESG requirements must also be proportionate. Excessively complex questionnaires can exclude smaller suppliers without improving outcomes. 3. Weighted ScorecardsA weighted scorecard converts multiple criteria into a structured comparison. Let supplier i be evaluated on criteria j. A common additive model is: Si = ∑j=1n wj rij where S_i is the total score for supplier i, w_j is the weight of criterion j, r_{ij} is supplier i’s rating on criterion j, and n is the number of criteria. Weights are normally non-negative and should sum to 1: ∑wj = 1. Ratings must use a defined scale, such as 0–100 or 1–5. The additive model assumes that trade-offs are acceptable, criteria are sufficiently independent, ratings are comparable and poor performance in one area can be compensated by strength in another. These assumptions are often unrealistic. Therefore, mandatory gates should be applied first. For example, a supplier failing legal compliance or product safety is rejected regardless of its score. Worked example: a weighted scorecardAn industrial buyer evaluates three qualified suppliers using five criteria. Ratings are from 0 to 100 and weights sum to 1. | Criterion | Weight | Alpha | Beta | Gamma |
|---|
| Quality capability | 0.25 | 90 | 82 | 88 | | Total cost | 0.20 | 78 | 92 | 84 | | Delivery and capacity | 0.20 | 86 | 76 | 91 | | Technology and innovation | 0.15 | 80 | 74 | 93 | | ESG performance | 0.20 | 72 | 88 | 79 |
For Alpha: SAlpha = (0.25×90) + (0.20×78) + (0.20×86) + (0.15×80) + (0.20×72) = 81.8 For Beta: SBeta = (0.25×82) + (0.20×92) + (0.20×76) + (0.15×74) + (0.20×88) = 83.0 For Gamma: SGamma = (0.25×88) + (0.20×84) + (0.20×91) + (0.15×93) + (0.20×79) = 86.3 Gamma ranks first, despite not having the lowest cost. Its advantage lies in delivery, capacity and technology. Before awarding business, the team should test whether Gamma’s superior ratings are supported by evidence and whether its ESG score reflects verified performance. Scoring disciplineA robust scorecard should include: - an explicit definition for each rating level;
- a documented source and date for each rating;
- separate scores from procurement, quality, engineering, finance, operations and ESG specialists;
- a rule for resolving disagreement;
- confidence ratings where evidence is incomplete;
- sensitivity analysis for weights and uncertain data;
- a record of mandatory disqualifiers.
A 1–5 rating scale is convenient but can create false precision. A difference between 4 and 5 should have a clear operational meaning. Where evidence is qualitative, assessors should record the rationale and avoid presenting subjective judgement as measured fact. 4. Multicriteria Decision-Making Beyond the Basic Scorecard4.1 NormalisationWhen raw measures use different units, they must be normalised before aggregation. For a benefit criterion, where a larger value is preferred, min–max normalisation can be written as: rij = (xij − min(xj)) ÷ (max(xj) − min(xj)) For a cost criterion, where a smaller value is preferred: rij = (max(xj) − xij) ÷ (max(xj) − min(xj)) Here x_{ij} is the raw value for supplier i on criterion j. These formulas require a non-zero range and are sensitive to extreme alternatives. If a new supplier changes the observed minimum or maximum, existing scores may change. Threshold or target-based scoring may be more stable in regulated procurement. 4.2 Ideal-point reasoningTOPSIS-style analysis ranks suppliers according to proximity to an ideal solution and distance from a negative ideal solution. After normalisation and weighting, the weighted value is: vij = wj rij The positive ideal contains the best value for each criterion and the negative ideal the worst. Euclidean distances may then be calculated: Di^+ = √[∑(vij − vj^+)²] Di^- = √[∑(vij − vj^-)²] The relative closeness is: Ci = Di^- ÷ (Di^+ + Di^-) A larger C_i indicates greater relative closeness to the positive ideal. This method is useful where decision-makers care about both excellence and avoidance of poor performance. However, results depend on normalisation, weights and the choice of distance metric. It should complement—not replace—qualitative risk review. 4.3 Sensitivity and robustnessA decision is robust when reasonable changes in assumptions do not change the preferred supplier or sourcing structure. Teams should vary key weights, exchange-rate assumptions, demand levels, lead times and disruption probabilities. If a supplier wins only under one narrow set of assumptions, the decision should be escalated rather than treated as certain. 5. Total Cost, Risk and Financial EvaluationA supplier’s quoted price is only one component of total cost. A practical TCO model may include purchase price, freight, duties, inspection, inventory carrying cost, quality failure, expediting, tooling, engineering support, administration, switching and expected disruption loss. A simplified expected-risk expression is: Expected disruption cost = Probability of disruption × Financial impact of disruption The probability and impact should be defined over the same time horizon and currency. This is an expected-value approximation; it does not capture the full distribution of severe events, correlation between risks or risk aversion. For low-probability catastrophic events, scenario analysis and contingency planning are essential. Inventory effects matter in global sourcing. If annual demand is D units, unit value is C, and the annual carrying-rate is h, a simplified annual holding-cost estimate is: Annual holding cost = Average inventory × C × h Average inventory must be expressed in units, C in currency per unit and h as an annual decimal rate. The estimate is appropriate for a planning approximation, but actual inventory may include cycle stock, safety stock, pipeline stock and strategic buffers. 6. Supply-Base DesignSupply-base design determines the structure of supply relationships. The central decision is not simply “one supplier or many”; it is how to balance efficiency, bargaining power, coordination, resilience, innovation and risk. Single sourcingSingle sourcing allocates a requirement to one supplier. Advantages include volume leverage, lower qualification and transaction costs, standardisation, deeper collaboration and clearer accountability. It may support joint investment and process learning. Risks include dependence, disruption exposure, supplier complacency, reduced benchmarking and greater switching cost. Single sourcing can be justified when the supplier is highly capable, the item is standardised or protected by effective contingency arrangements. It is dangerous when the item is critical, switching is slow and alternative capacity is scarce. Dual sourcingDual sourcing divides supply between two qualified suppliers. It can preserve competition and provide a practical alternative during disruption. Allocation may be equal or deliberately asymmetric—for example, 70/30 to maintain a primary supplier while keeping the secondary supplier qualified. Dual sourcing increases qualification, coordination and sometimes unit cost. The secondary supplier may become economically unattractive if its volume is too small to maintain capability. Allocation should therefore be sufficient to preserve real readiness, not merely contractual status. MultisourcingMultisourcing uses more than two suppliers, often across regions or technology platforms. It may be appropriate for high-volume, standardised or geographically exposed items. It can reduce concentration risk and improve market intelligence. However, multisourcing creates complexity: inconsistent specifications, fragmented spend, weaker relationships, duplicated tooling and higher governance costs. More suppliers do not automatically produce resilience, especially if they share common sub-tier dependencies. Portfolio and segmentation logicA useful design approach combines item criticality and supply-market risk. Strategic items with high business impact and high supply risk require close relationships, executive governance, contingency planning and often qualified alternatives. Leverage items with high spend but lower risk may benefit from competition and aggregation. Bottleneck items with low spend but high risk require security of supply, technical substitution and inventory or capacity protection. Routine items can be simplified through catalogues, automation and standardisation. Supply-base rationalisationRationalisation should not be a mechanical supplier-count reduction. The process should: - map spend, specifications, sites, sub-tier dependencies and supplier performance;
- identify duplicate specifications and opportunities for standardisation;
- classify items by criticality and risk;
- calculate TCO and transition costs;
- test capacity, concentration and geographic exposure;
- consult engineering, operations, quality, finance and affected suppliers;
- implement transitions with validation, inventory and exit plans;
- monitor performance after consolidation.
Supplier concentration can be measured by the Herfindahl–Hirschman Index: HHI = ∑si² where s_i is supplier i’s share of spend or volume expressed as a decimal, and the sum covers all suppliers. A single supplier has HHI = 1; four equal suppliers produce HHI = 0.25. HHI is a descriptive concentration measure, not a universal resilience threshold. It should be paired with dependency mapping, substitutability and disruption analysis. 7. Governance, Ethics and RegulationSupplier evaluation can create significant ethical risks. Conflicts of interest, undisclosed gifts, discriminatory criteria, manipulation of scores and pressure to overlook labour abuses undermine procurement integrity. Governance should include segregation of duties, declarations of interest, documented approvals, audit trails, controlled access to bids and a protected whistleblowing channel. International procurement may be affected by anti-bribery laws, sanctions, export controls, competition law, modern-slavery requirements, data-protection rules, product regulations and customs obligations. Responsibility cannot be outsourced entirely to a supplier. Contracts should define audit rights, reporting obligations, corrective-action timelines, subcontracting controls, termination rights and remedies. Responsible sourcing also requires proportionality and remediation. Immediate termination may be appropriate for severe abuse, but less severe findings may be addressed through time-bound corrective action, worker protection and verification. Buyers should avoid “audit fatigue,” in which repeated questionnaires consume supplier resources without improving conditions. 8. Digital Tools and Artificial IntelligenceDigital procurement platforms can consolidate supplier data, automate questionnaires, monitor certificates, compare performance and identify expiring approvals. Supply-chain mapping tools can connect suppliers to sites, ports, commodities and sub-tier relationships. Predictive analytics may identify warning signals such as deteriorating delivery, financial stress or unusual quality patterns. Artificial intelligence can assist with document extraction, risk classification, anomaly detection and scenario analysis. It should not make unreviewed supplier awards. Risks include biased training data, fabricated evidence, privacy breaches, opaque recommendations and overreliance on easily measured indicators. Effective governance requires human review, explainability, data lineage, access control, model validation and a process for challenging automated outputs. 9. Illustrative Case: Global Battery-Pack SourcingBackgroundA fictional electric-vehicle manufacturer sources battery packs for a new regional vehicle platform. The pack is safety-critical, technologically complex and exposed to mineral, logistics and regulatory risks. Management initially proposes consolidating from three suppliers to one in order to obtain a lower price. ProblemThe preferred supplier offers a 7% lower quoted price but has limited surge capacity, relies on one cathode-material region and has weaker evidence on worker-risk controls. A second supplier has stronger engineering capability and a different regional footprint but a higher price. A third supplier is smaller, has excellent process quality and operates near the assembly plant, but cannot initially supply the full forecast. AnalysisThe cross-functional team establishes mandatory gates for safety certification, traceability, cybersecurity, financial viability and corrective-action capability. It then applies a weighted evaluation with quality, capacity, TCO, engineering, location resilience and ESG. TCO includes freight, inventory, validation, expected disruption cost and the cost of maintaining qualified backup capacity. The team performs sensitivity analysis on demand growth and disruption assumptions. Under the original price-only analysis, the first supplier wins. Under the risk-adjusted analysis, the first supplier remains attractive for normal demand but becomes the most expensive option under a major regional disruption. The third supplier’s inability to meet full demand prevents sole sourcing, but its proximity and quality make it valuable as a secondary source. Approach and solutionThe firm adopts a 60/30/10 allocation: 60% to the price-competitive primary supplier, 30% to the technically strong regional supplier and 10% to the local specialist. The allocation is conditional on quarterly capacity tests, shared sub-tier mapping, common validation standards and an option to increase the second supplier’s share if risk indicators deteriorate. Tooling ownership and data rights are contractually specified. A business-continuity exercise is conducted twice yearly. OutcomeThe arrangement costs more than the original single-source proposal during stable operations, but it preserves qualified alternatives and reduces dependence on a common logistics corridor. The manufacturer also identifies a shared cathode-material dependency and begins a separate upstream diversification project. Learning points- A low purchase price may not minimise TCO or expected disruption exposure.
- A nominal backup supplier is ineffective unless it retains validated capability.
- Geographic diversity must be examined alongside sub-tier commonality.
- Allocation, contracts, audits and exercises must reinforce one another.
- Supply-base design is a dynamic portfolio decision, not a one-time tender result.
10. Challenges and LimitationsSupplier models face several limitations. First, criteria may be correlated: quality, process maturity and delivery reliability may partly measure the same underlying capability. Double counting can distort results. Second, data may be incomplete, delayed or strategically reported. Third, weights reflect managerial values and may embed unconscious bias. Fourth, averages conceal tail risk; a supplier with excellent normal performance may still be vulnerable to a rare but severe event. Fifth, supplier behaviour can change after award because incentives, ownership or market conditions change. These limitations are managed through mandatory gates, independent evidence, scenario analysis, sensitivity testing, cross-functional review, periodic reassessment and explicit governance. The most defensible decision is not necessarily the one with the highest calculated score; it is the one whose assumptions, risks and trade-offs are understood and actively controlled. Best-Practice Checklist- Start with business, technical, legal and ESG requirements.
- Separate mandatory gates from compensable criteria.
- Use TCO rather than quoted price alone.
- Define rating anchors and evidence sources.
- Avoid double counting correlated criteria.
- Test capacity at bottlenecks and during demand surges.
- Verify financial and ESG claims independently.
- Map sub-tier dependencies and common infrastructure.
- Perform sensitivity and scenario analysis.
- Preserve genuine backup capability where criticality warrants it.
- Document conflicts of interest and decision rights.
- Re-evaluate suppliers after award using actual performance.
Chapter SummarySupplier evaluation is a strategic, evidence-based process that links purchasing decisions with quality, capacity, innovation, finance, resilience, location and ESG performance. Weighted scorecards provide transparency, but their validity depends on meaningful criteria, reliable evidence, appropriate weights and clearly stated assumptions. Mandatory gates are necessary where safety, legality or ethical standards cannot be traded away. Multicriteria models can aggregate diverse evidence through weighted sums, normalisation and ideal-point reasoning. TCO and expected disruption cost broaden analysis beyond invoice price, while sensitivity analysis reveals whether a decision is robust. Supply-base design requires deliberate choice among single, dual and multisourcing. Supplier count should be determined by criticality, substitutability, concentration, switching cost and risk—not by a universal preference for either consolidation or diversification. Effective global sourcing combines analytical models with engineering validation, financial review, responsible procurement, contract governance, sub-tier visibility and continuing performance management. Digital tools and AI can improve visibility and analysis, but human accountability, explainability and ethical safeguards remain essential. Key TermsSupplier evaluation: Structured assessment of a supplier against defined requirements. Supplier qualification: Verification that minimum requirements are satisfied before award. Weighted scorecard: A model combining criterion ratings with assigned weights. Multicriteria decision-making: Evaluation of alternatives using multiple, often conflicting, criteria. Total cost of ownership: The full cost of acquiring, using, managing and replacing a supply option. Process capability: The ability of a stable process to produce output within specification. Capacity headroom: Practical available capacity after current commitments and constraints. Supply-base design: Configuration of suppliers, locations, allocations and governance. Single sourcing: Obtaining a requirement from one supplier. Dual sourcing: Obtaining a requirement from two qualified suppliers. Multisourcing: Obtaining a requirement from more than two suppliers. Supply-base rationalisation: Restructuring suppliers to improve value, control and resilience. Supplier concentration: Degree to which supply is dependent on a small number of suppliers. HHI: A concentration index calculated as the sum of squared supplier shares. ESG: Environmental, social and governance performance and risk. Mandatory gate: A non-negotiable requirement whose failure disqualifies a supplier. Sensitivity analysis: Testing how results change when assumptions or weights vary. Sub-tier supplier: A supplier that provides inputs to a direct supplier. Supplier resilience: Ability to anticipate, absorb, recover from and adapt to disruption. Supplier segmentation: Classification of suppliers according to strategic importance and risk. Review QuestionsShort Answer Questions- Why should mandatory requirements be separated from weighted scorecard criteria?
- Distinguish process capability from supplier capacity.
- What is the purpose of normalising raw supplier data?
- State two advantages and two risks of dual sourcing.
- Why is ESG evidence more reliable than a supplier policy statement alone?
Long Answer Questions- Explain how a global organisation should design and govern a weighted supplier scorecard.
- Compare single sourcing, dual sourcing and multisourcing in terms of cost, resilience, coordination and innovation.
- Discuss how TCO and expected disruption cost can change a supplier decision based solely on purchase price.
- Explain the assumptions and limitations of additive multicriteria models.
- Develop a supply-base rationalisation process for a strategically important category.
Analytical / Application Questions- Using the scorecard data in this chapter, calculate and rank the three suppliers. Explain whether the highest-scoring supplier should automatically receive the award.
- A category has supplier shares of 0.50, 0.30 and 0.20. Calculate HHI and interpret the concentration level while identifying limitations of the measure.
- Design a sourcing structure for a safety-critical component with high switching cost, volatile demand and two geographically distinct qualified suppliers. Justify the allocation, governance and contingency arrangements.
Multiple Choice Questions with AnswersQuestion 1Which statement best describes the primary purpose of a supplier scorecard? A. To replace all managerial judgement with a numerical answer B. To make evaluation criteria, evidence and trade-offs transparent C. To guarantee that the lowest-price supplier is selected D. To eliminate the need for supplier monitoring after contract award Correct Answer: B. To make evaluation criteria, evidence and trade-offs transparent Question 2In the additive scorecard model Si = ∑wjrij, what must normally be true of the weights? A. They must all be equal B. They must be negative C. They should sum to 1 D. They must be expressed in currency Correct Answer: C. They should sum to 1 Question 3Which measure is most directly concerned with a process being centred between specification limits? A. Current ratio B. HHI C. Cpk D. Debt-to-equity ratio Correct Answer: C. Cpk Question 4A supplier fails a mandatory product-safety requirement but obtains the highest weighted score. What is the appropriate decision? A. Select it because the aggregate score is highest B. Select it only if its price is lowest C. Reject or suspend it because the mandatory gate failed D. Average its score with the second supplier Correct Answer: C. Reject or suspend it because the mandatory gate failed Question 5What is a major risk of relying on a nominal backup supplier? A. The backup may lack maintained and validated capability B. The primary supplier will always reduce quality C. The buyer will have no negotiation leverage D. The supplier will necessarily be located overseas Correct Answer: A. The backup may lack maintained and validated capability Question 6If four suppliers have equal shares of 0.25, what is their HHI? A. 0.0625 B. 0.25 C. 1.00 D. 4.00 Correct Answer: B. 0.25 Question 7Which item is normally included in total cost of ownership? A. Only the quoted invoice price B. Only annual supplier revenue C. Relevant logistics, quality, inventory and switching costs D. Only the buyer’s marketing expenditure Correct Answer: C. Relevant logistics, quality, inventory and switching costs Question 8What does a larger TOPSIS-style closeness coefficient generally indicate? A. Greater closeness to the positive ideal relative to the negative ideal B. Higher supplier debt regardless of performance C. Greater geographic distance from the buyer D. Lower importance of all evaluation criteria Correct Answer: A. Greater closeness to the positive ideal relative to the negative ideal Question 9Why can two suppliers in different countries still share substantial disruption risk? A. Different countries always use identical regulations B. They may depend on the same sub-tier supplier or logistics corridor C. Geographic diversity eliminates all supply risk D. Country location has no relevance to resilience Correct Answer: B. They may depend on the same sub-tier supplier or logistics corridor Question 10Which practice best supports ethical supplier evaluation? A. Allowing assessors to accept undisclosed gifts B. Changing criteria after bids are received without disclosure C. Maintaining conflict-of-interest declarations and an audit trail D. Using only supplier self-certification for critical claims Correct Answer: C. Maintaining conflict-of-interest declarations and an audit trail
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