Supply Markets, Segmentation and Quality Strategy

Introduction

Supplier quality management begins before a purchase order is issued. An organisation’s quality performance is shaped by the structure of its supply markets, the technologies and capabilities available in those markets, the degree of dependence on particular suppliers, and the consequences of supplier failure. Consequently, supplier quality cannot be managed effectively through inspection alone. It requires a differentiated strategy that matches governance, assurance, development and monitoring effort to the economic and operational importance of each supply relationship.

A common managerial error is to treat all suppliers alike. A supplier of office stationery, a supplier of a safety-critical aircraft component and a supplier of a proprietary software platform should not be governed by identical qualification, audit, contract or improvement arrangements. Uniform treatment either wastes resources on low-risk suppliers or under-controls strategically important ones.

This chapter develops an integrated approach to supply-market analysis and supplier segmentation. It combines the Kraljic purchasing portfolio, total cost of ownership (TCO), transaction-cost reasoning and risk-based segmentation. The objective is not merely to classify suppliers, but to translate classification into an appropriate quality strategy.

Learning Objectives

By the end of this chapter, the learner should be able to:

1. Explain how supply-market complexity influences supplier-quality decisions.
2. Apply portfolio models to distinguish supply risk from business impact.
3. Calculate and interpret total cost of ownership.
4. Use transaction-cost reasoning to evaluate governance alternatives.
5. Construct a risk-based supplier-segmentation approach.
6. Design differentiated quality strategies for transactional, leveraged, bottleneck and strategic purchases.
7. Critically evaluate the limitations of portfolio models and the governance implications of supplier decisions.

1. Supply Markets as a Quality-Management Context

A supply market is the external environment in which an organisation obtains materials, components, services, technology or knowledge. Its characteristics include the number and concentration of suppliers, entry barriers, technological maturity, capacity constraints, geographic distribution, regulatory conditions, switching costs and the availability of substitutes.

Supply-market complexity increases when several conditions occur simultaneously:

• few qualified suppliers are available;
• the supplied item is technologically specialised;
• qualification or regulatory approval takes considerable time;
• demand is volatile or capacity is constrained;
• the item is difficult to substitute;
• the supplier controls important intellectual property or process knowledge;
• logistics, geopolitical or climate exposure is significant; or
• poor supplier performance can affect safety, compliance, customer satisfaction or continuity.

Quality strategy must therefore consider both the probability of a problem and its consequence. A low-cost component can be highly important if a defect stops a production line. Conversely, an expensive item may have low strategic importance if alternatives are readily available and failure is easily detected before use.

Important terminology includes:

• Supply risk: The likelihood that supply will be interrupted, delayed, nonconforming or otherwise unable to meet requirements.
• Business impact: The financial, operational, safety, regulatory or reputational consequence of supplier failure.
• Supplier criticality: The overall importance of a supplier or supplied item to organisational objectives and stakeholders.
• Quality assurance: Planned and systematic activities that provide confidence that requirements will be fulfilled.
• Supplier quality development: Structured activity intended to improve a supplier’s processes, capability and performance.
• Supplier governance: The mechanisms through which responsibilities, decisions, controls, escalation and accountability are established.

Quality requirements should be translated into clear specifications, measurable acceptance criteria, process controls and evidence requirements. A market analysis cannot compensate for ambiguous requirements. Inadequate specifications often create disputes that are incorrectly attributed to supplier incompetence.

2. From Purchasing Categories to Quality Strategy

Purchasing decisions traditionally emphasised price and delivery. Modern supply management recognises that value is created through the complete relationship: design compatibility, process capability, reliability, responsiveness, compliance, innovation and lifecycle cost.

A useful principle is:

The greater the combination of business impact and supply risk, the more collaborative, preventive and strategically governed the quality approach should be.

This principle has four consequences.

First, assurance should be risk-based. A high-risk supplier may require process validation, audits, capability studies, change control, traceability and contingency planning. A low-risk supplier may require only basic approval and periodic performance review.

Second, prevention is generally more valuable than detection when defects are costly, dangerous or difficult to detect. Incoming inspection can identify some nonconformities, but it does not eliminate their causes and may not detect latent failures.

Third, supplier quality is a system responsibility. Procurement, engineering, operations, quality, legal, information security, finance and sustainability functions may all have legitimate requirements.

Fourth, segmentation should be dynamic. A supplier may move from low to high criticality because of a product redesign, capacity shortage, merger, regulatory change, cyber incident or change in demand.

3. The Kraljic Purchasing Portfolio

The Kraljic portfolio model classifies purchased items according to two dimensions: profit impact and supply risk. Profit impact is often interpreted more broadly as business impact in public, service or non-profit organisations. The model produces four broad categories.

Figure: The Kraljic portfolio links supply risk and business impact to differentiated purchasing and quality strategies.

3.1 Non-critical items

Non-critical purchases have limited business impact and low supply risk. Examples may include standard consumables, generic packaging or common office supplies. The quality strategy should emphasise simplification: standard specifications, approved catalogues, automated ordering, basic supplier approval and exception-based monitoring. Excessive auditing can cost more than the risk it controls.

However, “non-critical” does not mean “unregulated.” A low-value cleaning chemical may still create safety or environmental exposure. Classification must therefore consider legal and stakeholder requirements, not only purchase price.

3.2 Leverage items

Leverage items have substantial expenditure or business impact but are available from several capable suppliers. Competition and volume aggregation can improve commercial outcomes. Quality strategy should include competitive qualification, clear specifications, performance-based contracts and comparative supplier scorecards.

The main danger is allowing price competition to erode process capability. Supplier selection should assess cost and quality together, and contracts should define change notification, nonconformance handling, corrective action and data requirements.

3.3 Bottleneck items

Bottleneck items have high supply risk but relatively limited direct financial impact. A small specialised seal, sensor or chemical additive may stop an entire process if unavailable. The recommended strategy is to protect continuity: identify alternatives, hold appropriate inventory, develop substitute specifications, qualify secondary sources and understand the supplier’s capacity constraints.

Quality assurance should focus on preventing unexpected failure and preserving technical knowledge. A second source is not automatically a valid contingency; it must be technically qualified and capable of meeting the same requirements.

3.4 Strategic items

Strategic items combine high impact with high supply risk. Examples include proprietary medical devices, critical semiconductor components, complex industrial systems and outsourced processes that directly affect regulatory conformity.

The quality strategy should be relational and preventive. It may include joint planning, early supplier involvement in design, audits based on process risk, validation, statistical monitoring, joint root-cause analysis, business-continuity planning, cybersecurity controls, executive governance and long-term capability development.

Kraljic is a decision aid rather than a complete supplier-quality model. It does not itself specify how to measure risk, how to account for multiple tiers, or how to treat ethical and sustainability concerns. Those dimensions must be added deliberately.

4. Total Cost of Ownership

Purchase price is only one component of economic value. Total cost of ownership estimates the costs incurred across acquisition, use, failure and disposal. A general expression is:

where:

• P = purchase price;
• C_a = acquisition and transaction cost, such as tendering and contracting;
• C_l = logistics, transport and inventory cost;
• C_q = quality-related prevention, appraisal and internal failure cost;
• C_i = installation, integration and operating cost;
• C_f = external failure, disruption and consequential cost;
• C_d = disposal, decommissioning and end-of-life cost; and
• V_r = recoverable residual value or benefit.

All terms should be expressed in the same currency and over the same analysis period. The formula is a managerial costing framework, not a universally fixed accounting identity. The analyst must define the boundary, avoid double counting and state whether costs are discounted for time value of money.

If costs occur over multiple periods, a present-value approach may be appropriate:

Here, C₀ is the initial cost, C_t is the cost in period t, r is the discount rate per period, and n is the number of periods. The formula assumes costs are measured consistently and that the selected discount rate is appropriate to the decision. For short-lived routine purchases, discounting may have little practical effect; for long contracts or capital equipment, it can be significant.

Worked example: comparing suppliers by TCO

An organisation is choosing between Supplier A and Supplier B for a one-year component requirement. The values are:

Using the TCO expression:

Supplier A: £100,000 + £8,000 + £4,000 + £3,000 + £1,000 = £116,000.

Supplier B: £92,000 + £11,000 + £7,000 + £15,000 + £1,000 = £126,000.

Although Supplier B has the lower purchase price, Supplier A has the lower TCO by £10,000. The result does not prove that A is preferable in every respect: capacity, resilience, innovation, contractual conditions and strategic dependence must also be evaluated. It does demonstrate why quality-related costs should be visible in sourcing decisions.

Expected failure cost can be estimated when alternative outcomes and probabilities are reasonably known:

where p_j is the probability of failure scenario j, C_j is its cost, and the probabilities sum to 1. This estimate is uncertain and should be accompanied by sensitivity analysis. Rare, catastrophic events may be underestimated when historical data are limited.

5. Transaction-Cost Reasoning and Governance Choice

Transaction-cost economics asks why an activity is performed through markets, contracts, partnerships or internal hierarchy. The central concern is not merely production cost but the cost of coordinating and safeguarding an exchange.

Three concepts are especially relevant:

1. Asset specificity: The extent to which investments have little value outside the particular relationship. Special tooling, dedicated technology, unique training and customised data systems increase specificity.
2. Uncertainty: Variability in demand, technology, quality requirements, regulation or supplier behaviour.
3. Transaction frequency: How often the exchange occurs and how much learning or coordination is required.

When asset specificity and uncertainty are high, a simple spot-market transaction may expose the buyer to opportunism, hold-up, switching difficulty and quality degradation. More elaborate governance—such as long-term contracts, joint teams, shared systems, dual investment or vertical integration—may be justified.

Transaction-cost reasoning does not imply that internalisation is always best. Internal production creates its own costs, including capital investment, management complexity, reduced flexibility and the risk of technological obsolescence. The relevant question is which governance arrangement provides the required quality and continuity at acceptable total cost.

A strategic supplier may therefore require:

• a multi-year agreement with clear performance obligations;
• jointly agreed process and product specifications;
• defined ownership of tooling and technical data;
• formal change-control procedures;
• audit and access rights proportionate to risk;
• escalation and recovery provisions;
• business-continuity and exit plans; and
• protection of confidential information and intellectual property.

Quality professionals should participate in governance design because contractual flexibility without technical control may be hazardous, while excessive control can prevent innovation and create adversarial behaviour.

6. Risk-Based Supplier Segmentation

Portfolio categories are broad. A practical segmentation system combines several dimensions rather than relying on expenditure alone. A useful risk profile may include:

• product or process criticality;
• severity of potential failure;
• detectability before customer impact;
• supplier capability and maturity;
• supply concentration and substitutability;
• geographic, logistical and geopolitical exposure;
• regulatory and safety significance;
• cybersecurity and data dependence;
• financial health and continuity capability; and
• environmental, labour and human-rights exposure.

A simple prioritisation index may be used as a screening device:

where S is severity, O is occurrence likelihood and D is difficulty of detection. Each factor must have an explicitly defined ordinal scale, such as 1 to 5. The product is not a probability and should not be interpreted as one. It is a relative prioritisation score, useful only when rating definitions are consistent.

For example, a component rated severity 5, occurrence 3 and detection difficulty 4 receives R = 5 × 3 × 4 = 60. A second component rated 3, 4 and 2 receives 24. The first deserves greater preventive attention under this screening method, but managers should review the result for catastrophic consequences, regulatory requirements and data quality. A low score must never override a mandatory legal or safety control.

Segmentation can also be expressed through service tiers:

The segment should be assigned to the supplied product or service as well as to the supplier. One supplier may provide both routine and critical items and should not receive one undifferentiated rating.

7. Translating Segmentation into Quality Strategy

7.1 Supplier selection and qualification

Selection criteria should reflect intended use. For critical supplies, evaluation may include process capability, design controls, special-process accreditation, competence, equipment maintenance, measurement-system control, traceability, capacity, financial resilience and regulatory history.

Qualification evidence should be proportional to risk. Evidence may include certificates, completed questionnaires, sample evaluation, first-article inspection, process audits, pilot production, validation studies and historical performance. Certifications are useful signals but do not replace verification of actual capability.

7.2 Specification and quality agreements

A quality agreement should clarify technical and organisational responsibilities. It may address specifications, records, nonconforming product, deviations, change notification, subcontracting, audit rights, calibration, traceability, retention periods, complaint response and regulatory reporting.

Requirements should be unambiguous and testable. Terms such as “high quality” or “prompt response” are inadequate unless operationally defined.

7.3 Process assurance and capability

For high-criticality supplies, assurance should move upstream from final inspection to process control. Useful methods include process mapping, failure-mode analysis, control plans, measurement-system evaluation, validation, mistake-proofing and statistical process control.

A process-capability index is meaningful only under appropriate conditions. For a stable, approximately normally distributed process with specification limits, a common index is:

where USL and LSL are the upper and lower specification limits and σ is the within-process standard deviation. C_p measures potential capability assuming the process is centred. It does not measure actual centring or stability. A centred-process index is:

where μ is the process mean. These indices should not be used blindly with unstable processes, strongly non-normal data or inadequate sample sizes. Capability analysis supports supplier decisions but does not replace engineering judgement.

7.4 Performance monitoring

Supplier scorecards should combine leading and lagging measures. Possible measures include:

• defect rate or parts per million;
• right-first-time performance;
• delivery reliability;
• corrective-action response time;
• repeat nonconformity;
• audit findings and closure effectiveness;
• change-control compliance;
• service recovery time; and
• sustainability or responsible-sourcing indicators.

Metrics require definitions. For example, on-time delivery should specify the agreed date, tolerance window, quantity basis and treatment of authorised changes. A scorecard that rewards shipment volume while ignoring defective deliveries creates dysfunctional incentives.

7.5 Corrective action and supplier development

For significant nonconformities, containment must be distinguished from corrective action. Containment protects the customer immediately; root-cause analysis explains why the failure occurred; corrective action removes the cause; effectiveness verification determines whether recurrence has been prevented.

Supplier development is justified when the supplier is important, alternatives are limited and improvement is feasible. It may involve training, technical assistance, shared problem-solving, process redesign, investment in measurement systems or joint kaizen. Development should have defined objectives, owners, milestones and exit criteria. It should not become an indefinite subsidy for a supplier unwilling to control its process.

8. Integrated Applied Case: Northstar Medical Devices

This is a fictional illustrative case.

Background

Northstar Medical Devices manufactures infusion pumps. It sources a pressure-sensing module from SensorCore, a specialist supplier. The module accounts for only 4% of the pump’s purchase cost, but its failure can produce inaccurate pressure alarms and trigger regulatory reporting. SensorCore is the only currently qualified supplier because the module uses proprietary calibration software.

Problem

Over six months, incoming defects increased from 0.4% to 1.8%. Northstar responded with additional inspection, but production delays and rework increased. Procurement proposed switching to a lower-price supplier that claimed it could provide a compatible module within four months.

Analysis

The item has high business and regulatory impact and high supply risk. It is therefore strategic under a Kraljic interpretation. TCO analysis showed that the cheaper apparent alternative required new validation, software integration, safety testing and inventory buffering. Its lower unit price did not establish lower ownership cost.

Transaction-cost analysis identified high asset specificity: Northstar had invested in calibration fixtures and software integration, while SensorCore had specialised knowledge of the module. A rapid switch could create quality and continuity risks. Risk analysis rated severity as 5, occurrence as 3 and detection difficulty as 4, producing a screening score of 60. The score did not determine the decision by itself; regulatory criticality made enhanced controls mandatory.

The investigation found that SensorCore had changed a cleaning solvent without completing the agreed change-notification process. Residue affected calibration stability. The immediate issue was supplier process governance, not simply final inspection.

Approach and solution

Northstar and SensorCore established a joint recovery programme:

1. quarantined affected lots and implemented temporary 100% verification;
2. restored the validated cleaning process;
3. completed a documented root-cause analysis;
4. added solvent and calibration controls to the process control plan;
5. required formal notification and approval for material, process, software and subcontractor changes;
6. conducted a focused process audit and calibration-system review;
7. created monthly executive review until performance stabilised;
8. funded a technical study to qualify a second source; and
9. updated the quality agreement and business-continuity plan.

The second-source programme was treated as a risk-reduction project, not as an immediate substitution. The candidate supplier had to pass design verification, process validation, software assessment and regulatory approval.

Outcome

Within four months, the defect rate fell to 0.3%, and repeat deviations were eliminated during the following two quarters. Northstar retained SensorCore but reduced dependence by qualifying a second source after the necessary validation. Total cost increased temporarily because of audits and validation, but expected failure and disruption costs declined.

Learning points

The case illustrates five principles. First, low purchase-price share does not imply low criticality. Second, inspection may contain a problem without preventing recurrence. Third, change control is a central supplier-quality mechanism. Fourth, supplier development and dual sourcing can be complementary. Fifth, strategic relationships require technical, contractual and executive governance together.

9. Limitations, Ethics and Governance

Portfolio models simplify reality. Different managers may rate the same item differently, and the boundaries between categories are not objective natural facts. Financial impact may be easier to quantify than safety, reputation, human rights or environmental harm. Aggregating scores can conceal a severe single dimension.

Models also tend to focus on the immediate supplier. A supplier may depend on a sole sub-tier source, contract manufacturer or logistics corridor. Multi-tier mapping is therefore essential for critical products. Resilience analysis should consider common-cause failures, not merely the number of first-tier suppliers.

Ethically, cost reduction must not be achieved through unacceptable labour conditions, forced labour, unsafe workplaces, environmental damage or discriminatory practices. Supplier audits should respect dignity, confidentiality and applicable law. Organisations should avoid misleading audit practices, coercive payment terms and transferring unreasonable risk to small suppliers.

Governance should define who can approve exceptions, accept residual risk, authorise supplier changes and release nonconforming material. Critical suppliers may require segregation of duties so that commercial urgency cannot unilaterally override safety or regulatory controls.

Data and artificial intelligence can support segmentation by identifying defect trends, delivery anomalies, financial signals and network dependencies. However, automated classifications can reproduce biased data, confuse correlation with causation or penalise suppliers with weaker reporting systems. AI-generated risk scores should be explainable, validated, reviewed by qualified personnel and used as decision support rather than unquestioned authority.

10. Contemporary Developments and Best Practice

Several developments are reshaping supplier-quality strategy:

• Digital traceability: Connected records can improve genealogy, recall analysis and change visibility.
• Supply-network mapping: Organisations increasingly analyse sub-tier dependencies, geographic concentration and shared infrastructure.
• Cyber supply-chain risk: Software, connected equipment and data exchanges make information security part of supplier assurance.
• Climate and resource disruption: Extreme weather, water scarcity and energy transition can affect continuity and process stability.
• Responsible sourcing: Environmental, social and governance expectations are becoming integrated into supplier qualification.
• Resilience-oriented sourcing: Firms increasingly balance efficiency with buffers, alternative designs, regional capacity and recovery capability.

A mature operating method is to review segmentation at defined intervals and after triggers such as major design changes, repeated nonconformity, acquisition, regulatory change, capacity loss or geopolitical disruption. The best practice is not maximum control everywhere; it is proportionate control directed at the consequences that matter most.

Chapter Summary

Supply-market complexity determines how supplier quality should be governed. The Kraljic portfolio distinguishes non-critical, leverage, bottleneck and strategic purchases by combining business impact and supply risk. Each category requires a different balance of simplification, competition, continuity protection and partnership.

Total cost of ownership expands analysis beyond purchase price to include acquisition, logistics, quality, failure, operating and disposal costs. Transaction-cost reasoning adds attention to asset specificity, uncertainty and frequency, helping managers choose among market transactions, contracts, partnerships and internalisation.

Risk-based segmentation should consider severity, occurrence, detectability, capability, substitutability, regulatory significance, resilience, cybersecurity and responsible sourcing. A screening index such as R = S × O × D can support prioritisation, but it is not a probability and cannot replace judgement.

Segmentation becomes valuable only when translated into action: proportionate qualification, clear specifications, quality agreements, process assurance, performance monitoring, corrective action, supplier development and contingency planning. Strategic suppliers require integrated technical, commercial and executive governance. Models have limitations, so decisions must also address multi-tier dependencies, ethics, sustainability, data quality and regulatory obligations.

Key Terms

Supply risk: Likelihood that supply will be interrupted, delayed or nonconforming.

Business impact: Consequence of supplier failure for cost, operations, safety, compliance or reputation.

Supplier criticality: Overall importance of a supplier or supplied item to organisational objectives.

Kraljic portfolio: Model classifying purchases by business impact and supply risk.

Non-critical item: Purchase with low business impact and low supply risk.

Leverage item: Purchase with high business impact and relatively low supply risk.

Bottleneck item: Purchase with high supply risk and lower or moderate direct business impact.

Strategic item: Purchase with both high business impact and high supply risk.

Total cost of ownership: Lifecycle cost of acquiring, using, assuring, failing and disposing of a purchase.

Asset specificity: Degree to which an investment has limited value outside a particular relationship.

Transaction-cost economics: Theory explaining governance choices through the costs and risks of exchange.

Supplier segmentation: Grouping suppliers or supplied items according to risk, impact and management requirements.

Quality agreement: Document defining technical, quality and governance responsibilities between parties.

Supplier qualification: Evaluation and approval of a supplier’s ability to meet specified requirements.

Supplier development: Planned activity to improve supplier capability and performance.

Containment: Immediate action that protects the customer from further nonconforming output.

Corrective action: Action taken to eliminate the cause of a detected nonconformity.

Process capability: Ability of a stable process to produce output within specified limits.

Supply-chain resilience: Capability to anticipate, withstand, recover from and adapt to disruption.

Review Questions

5 Short Answer Questions

1. What are the two principal dimensions of the Kraljic portfolio?
2. Why can a low-price supplier have a higher total cost of ownership?
3. Define asset specificity in transaction-cost reasoning.
4. What is the difference between containment and corrective action?
5. Why should supplier segmentation be reviewed periodically?

5 Long Answer Questions

1. Explain the four Kraljic categories and propose an appropriate quality strategy for each.
2. Discuss how total cost of ownership improves supplier-selection decisions, including its assumptions and limitations.
3. Explain how uncertainty and asset specificity influence supplier governance.
4. Describe a risk-based supplier qualification and monitoring system for a regulated product.
5. Critically evaluate the use of scorecards and performance indices in supplier-quality management.

3 Analytical / Application Questions

1. A supplier offers a 12% lower unit price but has a history of late delivery and high defect rates. Design a TCO analysis and identify the additional data required before selection.
2. Classify a sole-source component used in a safety-critical product using the Kraljic model. Recommend immediate and long-term quality controls.
3. A strategic supplier changes a subcontracted process without notification. Develop a response covering containment, investigation, governance, supplier development and contingency planning.

Multiple Choice Questions with Answers

Question 1

Which two dimensions form the basic Kraljic purchasing portfolio?

A. Supplier size and contract duration

B. Business impact and supply risk

C. Purchase price and inventory turnover

D. Quality cost and delivery distance

Correct Answer: B. Business impact and supply risk

Question 2

Which strategy is most appropriate for a bottleneck item?

A. Ignore performance because the item has low price

B. Maximise short-term price competition only

C. Protect continuity, qualify alternatives and control quality closely

D. Eliminate all supplier audits

Correct Answer: C. Protect continuity, qualify alternatives and control quality closely

Question 3

A component has a purchase price of £50,000, logistics cost of £4,000, quality cost of £3,000 and failure cost of £8,000. What is its TCO if there are no other costs or residual value?

A. £57,000

B. £61,000

C. £65,000

D. £68,000

Correct Answer: C. £65,000

Question 4

In transaction-cost reasoning, which condition generally increases the need for more elaborate governance?

A. Low uncertainty and no specialised investment

B. High asset specificity and high uncertainty

C. Many interchangeable suppliers and negligible switching cost

D. A one-time purchase of a standard commodity

Correct Answer: B. High asset specificity and high uncertainty

Question 5

Using R = S × O × D, what is the risk-prioritisation score when severity is 4, occurrence is 3 and detection difficulty is 5?

A. 12

B. 20

C. forty

D. 60

Correct Answer: D. 60

Question 6

What is the principal limitation of interpreting R = S × O × D as a probability?

A. The factors are always measured in currency

B. The product is a relative prioritisation score, not a probability

C. The formula can only be used for delivery risk

D. The formula requires no judgement

Correct Answer: B. The product is a relative prioritisation score, not a probability

Question 7

Which statement about C_p is correct?

A. It measures process centring regardless of stability

B. It measures potential capability assuming a stable and appropriately modelled process

C. It is identical to the defect percentage in every process

D. It replaces specification limits

Correct Answer: B. It measures potential capability assuming a stable and appropriately modelled process

Question 8

Why is a second source not automatically an effective contingency?

A. A second source always increases purchase price

B. It may not be technically qualified to meet the same requirements

C. It eliminates the need for traceability

D. It prevents supplier development

Correct Answer: B. It may not be technically qualified to meet the same requirements

Question 9

In the Northstar case, what was the direct process cause identified for calibration instability?

A. Insufficient warehouse space

B. A change in cleaning solvent without completed change notification

C. A shortage of packaging material

D. A failure of customer demand forecasting

Correct Answer: B. A change in cleaning solvent without completed change notification

Question 10

Which action best represents corrective action rather than containment?

A. Quarantining affected lots

B. Performing temporary 100% inspection

C. Restoring and controlling the validated process to remove the cause of recurrence

D. Stopping shipments for one day

Correct Answer: C. Restoring and controlling the validated process to remove the cause of recurrence