13. Financial Evaluation and Strategic Quality Management

Introduction and Context

Quality management becomes strategically significant when improvement decisions are connected to economic performance, customer value, organizational capability, and long-term resilience. A quality project may reduce defects, shorten lead time, improve reliability, or strengthen supplier performance, but its continuation ultimately depends on whether it creates sufficient value relative to its cost and risk. Financial evaluation therefore provides the language through which quality professionals communicate with senior management, finance, operations, marketing, procurement, and investors.

Financial evaluation does not mean reducing quality to short-term cost cutting. A narrow focus on immediate savings can damage capability, increase risk, and weaken customer trust. Strategic quality management asks a broader question: how can the organization invest scarce resources in improvement initiatives that produce sustainable value? Answering this question requires analysis of the cost of quality, cost of poor quality, productivity, capacity, return on investment, risk-adjusted benefits, and strategic alignment.

This chapter develops an integrated approach. It begins with the economics of quality, then examines investment appraisal and risk, and finally connects improvement portfolios with strategy, customer value, supply-chain resilience, and organizational performance. The emphasis is on managerial judgment: numerical results are essential, but they must be interpreted within the operational and strategic context in which quality decisions are made.

Learning Objectives

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

1. Explain the relationship between cost of quality and cost of poor quality.

2. Classify prevention, appraisal, internal failure, and external failure costs.

3. Calculate and interpret productivity, capacity, savings, payback, ROI, NPV, and related measures.

4. Evaluate quality projects using uncertainty, sensitivity analysis, and risk-adjusted benefits.

5. Align improvement portfolios with organizational strategy and customer value.

6. Assess the contribution of quality initiatives to supply-chain resilience and performance.

7. Recognize ethical, governance, and measurement risks in financial evaluation.

8. Recommend best practices for selecting, implementing, and reviewing strategic quality projects.

The Economics of Quality

The cost of quality is the total expenditure associated with achieving specified quality and with failing to achieve it. It includes both visible accounting costs and less visible opportunity costs. A quality department’s budget is only one part of the total. Rework, warranty claims, inspection, customer complaints, excess inventory, schedule disruption, lost capacity, and reputational damage may be distributed across several functions.

The traditional prevention–appraisal–failure model divides quality costs into four categories:

Prevention costs are incurred to avoid defects. They include process design, training, supplier development, preventive maintenance, mistake-proofing, quality planning, requirements analysis, and improvement projects.

Appraisal costs arise from evaluating conformance. Examples include inspection, testing, audits, calibration, and verification of purchased materials. Appraisal activities may be necessary, but excessive inspection can conceal weak processes rather than improve them.

Internal failure costs occur when a nonconformance is detected before delivery. They include scrap, rework, retesting, downtime, sorting, concession processing, and production delays.

External failure costs occur after the product or service reaches the customer. They include returns, warranty repairs, complaint handling, recalls, penalties, field service, compensation, lost sales, and damage to reputation.

A basic expression is:

Cost of Quality = Prevention Costs + Appraisal Costs + Internal Failure Costs + External Failure Costs

In practice, organizations often distinguish the total cost of quality from the cost of poor quality (COPQ). COPQ generally refers to the costs caused by defects, errors, delays, and failures. It is commonly estimated as:

COPQ = Internal Failure Costs + External Failure Costs + Associated Opportunity Costs

The distinction is useful but not absolute. For example, inspection may be treated as a quality cost, while the cost of a customer’s lost confidence may not appear in the accounting system. A mature analysis therefore combines financial records, operational data, customer evidence, and managerial estimates.

The objective is not necessarily to minimize every quality cost. Increasing prevention expenditure may reduce much larger failure costs. Similarly, eliminating all appraisal may be inappropriate where regulatory, safety, or contractual requirements demand independent verification. The managerial objective is to optimize the total cost while protecting customer and stakeholder requirements.

From Cost of Poor Quality to Value of Improvement

COPQ is most useful when it is translated into improvement opportunities. A defect rate by itself does not indicate the economic priority of a project. The organization must estimate the volume affected, the cost per event, the probability of occurrence, and the consequences for customers and operations.

For example, a defect that costs $2 to correct but occurs 100,000 times per year may be more attractive than a $50,000 failure that occurs once. Conversely, a rare safety failure may justify substantial preventive investment because its consequences are severe. Quality economics must therefore consider frequency, severity, detectability, and strategic importance.

A practical calculation can use the following structure:

Annual COPQ = Event volume × Cost per event

Where appropriate, the cost per event should include direct labor, material, logistics, administrative effort, lost capacity, customer support, and estimated opportunity cost. Double counting must be avoided. If rework labor is already included in a financial account, it should not be added again as an assumed loss.

The financial value of an improvement can be estimated as:

Annual Benefit = Avoided failure cost + Additional contribution from capacity − Additional operating cost

Benefits may be hard savings, cost avoidance, revenue enhancement, risk reduction, or capability creation. A hard saving reduces actual expenditure, such as lower scrap purchases. Cost avoidance prevents a future increase but may not immediately release cash. Revenue enhancement results from increased sales, retention, or price realization. Capability benefits, such as improved data integrity or employee competence, may support several future projects and should not be ignored merely because they are difficult to monetize.

Productivity, Capacity, and the Economics of Flow

Quality improvement and productivity are closely related. Productivity measures the relationship between outputs and inputs:

Productivity = Output / Input

Depending on the purpose, output may be accepted units, completed orders, service transactions, or customer outcomes. Inputs may include labor hours, machine hours, materials, energy, or total operating cost. A project that increases output without increasing input improves productivity; a project that maintains output while reducing input does so as well.

However, productivity measures can mislead when they count defective output as productive output. A more meaningful measure is first-pass yield (FPY), the proportion of units that meet requirements without rework. Rolled throughput yield (RTY) considers the probability that a unit passes every stage of a multistage process without correction. These measures connect quality with flow and capacity.

Capacity is the ability of a process or system to produce output over a specified period under defined conditions. Defects consume capacity through rework, retesting, complaint handling, and disruption. Consequently, reducing failure can create effective capacity without purchasing additional equipment or hiring staff.

Consider a process with 10,000 available labor hours. If 15 percent of work requires rework, only 8,500 hours are effectively available for value-adding first-time production. Reducing rework to 5 percent releases approximately 1,000 hours, subject to demand and scheduling constraints. The released capacity has financial value only if it can support additional contribution, reduce overtime, defer capital expenditure, or improve responsiveness. Capacity released in a bottleneck is generally more valuable than capacity released in a non-constraining activity.

A balanced evaluation should therefore ask:

• Has the project reduced total effort or merely shifted it elsewhere?
• Is the released capacity usable?
• Does the benefit appear as cash, additional contribution, shorter lead time, or risk reduction?
• Has quality improvement improved flow at the system constraint?

Financial Appraisal of Quality Projects

Quality projects are investments. Their evaluation should consider initial expenditure, recurring costs, timing of cash flows, useful life, implementation disruption, and uncertainty.

Payback period estimates the time required for cumulative benefits to recover the initial investment:

Payback Period = Initial Investment / Annual Net Cash Benefit

It is simple and useful for screening, but it ignores benefits after payback and normally does not discount future cash flows.

Return on investment (ROI) compares net benefit with investment:

ROI = (Total Benefit − Total Cost) / Total Investment × 100

The definition of benefit and cost must be stated. An annual ROI and a project-life ROI are not interchangeable. Finance and quality teams should agree on the measurement period, treatment of depreciation, working capital, taxes, and allocated overhead.

Net present value (NPV) recognizes that cash received in the future is worth less than cash received today. It is calculated as:

NPV = Present Value of Future Cash Flows − Initial Investment

A positive NPV indicates that the project is expected to create value at the selected discount rate. NPV is particularly useful for comparing projects with different timing and duration. Internal rate of return (IRR) is the discount rate at which NPV equals zero, although IRR can be difficult to interpret for projects with irregular cash flows.

Financial appraisal should not become a mechanical ranking exercise. A project with a lower ROI may be strategically essential, legally required, or necessary to preserve a critical customer relationship. Conversely, an attractive ROI estimate may be unreliable if it depends on unrealistic volume, unverified savings, or unrecognized implementation costs.

Risk-Adjusted Benefits and Decision Quality

Quality projects operate under uncertainty. Demand may change, suppliers may fail, implementation may take longer than planned, and the predicted defect reduction may not occur. A risk-adjusted evaluation makes these assumptions visible.

One simple method is expected monetary value:

Expected Benefit = Σ (Probability of Outcome × Financial Consequence of Outcome)

Suppose a project has a 0.6 probability of producing a $200,000 benefit, a 0.3 probability of producing $100,000, and a 0.1 probability of producing a $50,000 loss. Its expected benefit is $120,000 + $30,000 − $5,000, or $145,000. This figure does not eliminate uncertainty; it summarizes it for comparison.

Scenario analysis examines best-case, base-case, and worst-case conditions. Sensitivity analysis changes one assumption at a time, such as defect reduction, demand, implementation cost, or benefit realization. A project whose business case collapses under a small change in assumptions requires stronger evidence or a staged investment.

Risk-adjusted quality evaluation should consider at least four dimensions:

1. Operational risk: failure to achieve the intended process result.

2. Financial risk: cost overruns, weak demand, or benefits that cannot be converted into cash.

3. Customer and market risk: loss of trust, contract penalties, or reduced retention.

4. Safety, regulatory, and continuity risk: consequences that may be disproportionate to their probability.

Real-options thinking can improve decisions in uncertain environments. Instead of committing the full investment immediately, management may fund a pilot, data-collection phase, or limited deployment. The pilot creates information and preserves the option to expand, modify, or stop the project. This approach is particularly appropriate for advanced automation, artificial intelligence, and major supplier-transformation initiatives.

Strategic Alignment and Improvement Portfolios

A quality project should be connected to strategic intent. Strategy may emphasize cost leadership, dependable delivery, innovation, customer intimacy, regulatory leadership, sustainability, or resilience. The same improvement idea may be highly valuable in one strategy and relatively unimportant in another.

Strategic alignment can be tested through a chain of logic:

Strategic objective → customer or stakeholder requirement → process capability → improvement initiative → measurable outcome → financial or strategic value

For example, if the strategic objective is premium reliability, the customer requirement may be dependable performance in demanding conditions. The relevant process capabilities may include design robustness, supplier conformance, and preventive maintenance. Appropriate initiatives may address failure-mode reduction and supplier process control. Outcomes may include fewer field failures, higher retention, and stronger brand credibility.

A portfolio perspective is more useful than evaluating projects independently. The portfolio should contain a suitable balance of:

• quick improvements that generate early benefits;
• foundational projects that improve data, systems, and capability;
• strategic projects with larger but delayed returns;
• compliance and risk-reduction initiatives;
• exploratory projects with uncertain but potentially significant value.

Portfolio governance requires clear criteria, such as strategic fit, customer impact, financial value, risk reduction, feasibility, resource demand, and interdependence. Projects should be reviewed at stage gates. A project may be stopped when evidence shows that assumptions were invalid; stopping a weak project is a sign of governance, not failure.

Balanced scorecards and strategy maps can connect financial outcomes with customer, internal-process, and learning-and-growth measures. Leading indicators—such as training completion, process adherence, supplier capability, or control-plan effectiveness—should be combined with lagging indicators such as warranty cost, complaints, margin, and retention. Financial measures alone are often too late to guide improvement.

Customer Value and Supply-Chain Resilience

Quality creates value when it improves outcomes that customers recognize and are willing to support. These outcomes may include reliability, safety, ease of use, responsiveness, conformity, sustainability, and total cost of ownership. A project that reduces internal cost but worsens the customer experience may destroy value.

Customer value analysis should distinguish between internal efficiency and external effectiveness. A shorter production cycle is valuable if it improves delivery reliability or responsiveness. A lower material cost is valuable only if the material continues to meet functional and durability requirements. Voice-of-customer data, complaint analysis, retention, service usage, willingness-to-pay evidence, and contract requirements can help establish this connection.

Supply-chain resilience is the capacity to prepare for, absorb, recover from, and adapt to disruption. Quality management contributes through supplier qualification, process capability, traceability, dual sourcing, standardization, incoming-risk analysis, contingency planning, and collaborative problem solving. Resilience has financial value because it reduces the probability and duration of interruption, but it may also require apparently inefficient redundancy. Maintaining a second qualified supplier, strategic inventory, or alternative transport route may increase short-term cost while reducing exposure to severe disruption.

Resilience decisions should use scenario-based analysis. Management can estimate disruption probability, duration, affected volume, recovery cost, customer consequence, and mitigation cost. The purpose is not to predict every event but to compare the cost of preparedness with the expected and strategic consequences of vulnerability.

An Applied Case: Meridian Medical Devices

Background

Meridian Medical Devices, an illustrative manufacturer of single-use infusion components, supplied hospitals through regional distributors. Its strategy emphasized patient safety, dependable delivery, and long-term distributor relationships. The company had strong inspection practices but increasing complaints about packaging damage and occasional delivery delays.

Situation and Problem

Annual production was 1.2 million units. Internal records showed 4.5 percent rework and scrap associated with seal defects. External complaints averaged 1,800 cases per year. The quality manager estimated the following annual costs:

• internal failure: $270,000;
• external failure and complaint handling: $360,000;
• appraisal: $220,000;
• prevention: $180,000.

The organization proposed a $420,000 project involving automated seal-parameter monitoring, operator training, preventive maintenance, and supplier process development. Annual operating cost would increase by $60,000. Expected internal and external failure costs were projected to fall by 55 percent, but implementation could temporarily reduce output.

Analysis

The current cost of quality was $1.03 million. The project’s estimated annual failure-cost reduction was:

($270,000 + $360,000) × 0.55 = $346,500

After the additional operating cost, the estimated annual net benefit was $286,500. A simple payback estimate was therefore approximately 1.47 years, before considering tax, financing, and timing effects.

The financial case alone was incomplete. The project also addressed patient-safety exposure, distributor confidence, and the possibility that a major complaint could trigger regulatory scrutiny. A sensitivity analysis was conducted. Under a conservative 35 percent reduction in failure cost, annual net benefit would be $160,500, producing a payback of about 2.6 years. Under a 70 percent reduction, annual net benefit would be $381,000.

The team identified additional risks. Automated monitoring could generate false alarms; operators might bypass controls; the supplier might not achieve the required seal-material consistency; and released capacity would have little value if distributor demand declined. These risks were assigned owners and control measures.

Approach and Strategy

Meridian approved the project in two stages. The first stage was a three-month pilot on one production line. Baseline measures included first-pass yield, seal strength, complaint rate, downtime, false alarms, and operator response time. The project charter specified that the second-stage investment would proceed only if the pilot demonstrated stable capability and reliable data.

The company also revised its portfolio priorities. A lower-value office automation project was deferred, while a supplier-development activity was accelerated because incoming material variation was a major contributor to the problem. Finance required benefits to be tracked monthly and classified as realized savings, cost avoidance, capacity contribution, or risk reduction.

Outcome

In this illustrative case, the pilot demonstrated a substantial reduction in seal-related defects and confirmed that the monitoring system could be maintained by existing technical staff. After full deployment, Meridian reported lower rework, fewer complaints, and more predictable delivery. The project did not eliminate all failures, and the company retained sampling and regulatory checks. Its principal strategic benefit was not merely the calculated payback; it was the strengthening of process capability and customer confidence in a safety-critical product.

Learning Points

The case illustrates five principles. First, COPQ provides a starting point but not a complete business case. Second, prevention investment should be judged against the failure costs and risks it controls. Third, capacity benefits require evidence that the capacity is usable. Fourth, staged funding reduces uncertainty. Fifth, strategic quality decisions combine financial return with customer, regulatory, and resilience considerations.

Governance, Ethics, and Common Errors

Financial evaluation can be distorted by incentives. Project leaders may exaggerate benefits to obtain approval, while finance teams may reject benefits that are difficult to quantify. Both problems weaken trust. Benefit definitions, baseline periods, data sources, assumptions, and ownership should be documented before implementation.

Common errors include counting the same saving twice, treating reduced workload as cash saving when staffing is unchanged, ignoring implementation disruption, using averages that hide critical variation, and measuring only internal defects while excluding customer consequences. Another error is selecting projects solely by ROI. A high-return project may consume scarce engineering capability needed for a safety or resilience initiative.

Ethically, organizations must not reduce testing, maintenance, training, or supplier oversight merely to improve short-term financial results. Quality data should not be manipulated to meet targets. If an improvement creates employment consequences, managers should communicate honestly and consider fair transition arrangements. In regulated or safety-critical industries, statutory requirements and professional duties take precedence over discretionary financial return.

Data governance is also important. Automated inspection and AI-based prediction may process employee, supplier, customer, or production data. Access controls, traceability, model validation, cybersecurity, privacy, and human accountability must be established. An algorithmic recommendation should not be treated as objective simply because it is computational. Bias in historical data may cause the system to overlook certain failure modes or suppliers.

Digital Tools and Emerging Practice

Digital quality systems increasingly integrate enterprise resource planning, manufacturing execution, customer-relationship, supplier, and maintenance data. Dashboards can connect defects with product families, shifts, suppliers, equipment, and financial accounts. Process mining can reveal rework loops and approval delays that are difficult to detect through workshops alone.

Predictive analytics can identify conditions associated with failure, while machine vision and sensor systems support real-time detection. Digital twins may be used to test process changes before physical implementation. These tools are valuable only when data definitions are stable, measurement systems are capable, and users understand the limits of prediction.

Emerging practice is moving toward value-based quality management. This includes carbon and resource costs, circularity, responsible sourcing, cyber quality, and resilience metrics. Organizations increasingly evaluate not just whether a process conforms, but whether it creates durable value across the product life cycle and supply network.

Best Practices for Strategic Quality Evaluation

A disciplined organization typically follows these practices:

1. Establish a credible baseline before claiming improvement.

2. Define cost categories and prevent double counting.

3. Combine financial, customer, process, people, compliance, and resilience measures.

4. Make assumptions explicit and test them through sensitivity analysis.

5. Distinguish hard savings, cost avoidance, revenue, capacity, and risk reduction.

6. Use stage-gated funding for uncertain or technology-intensive projects.

7. Prioritize bottlenecks and customer-critical characteristics.

8. Assign benefit owners who remain accountable after project closure.

9. Review realized benefits against the original business case.

10. Stop, redesign, or scale projects according to evidence rather than status or politics.

Chapter Summary

Financial evaluation enables quality professionals to demonstrate how improvement affects cost, capacity, productivity, customer value, and organizational performance. The cost of quality includes prevention, appraisal, internal failure, and external failure costs, while COPQ focuses on the economic consequences of nonconformance. Effective analysis converts failure data into improvement opportunities without assuming that every cost reduction is a real cash saving.

Productivity, first-pass yield, and capacity measures show how quality affects operational flow. Payback, ROI, NPV, expected monetary value, scenario analysis, and sensitivity analysis support investment decisions, but numerical results must be interpreted alongside safety, compliance, customer, and strategic considerations. Portfolio governance aligns projects with strategic objectives and balances quick wins, foundational capability, compliance, resilience, and innovation.

Strategic quality management extends beyond the factory or service process. It connects improvement with customer outcomes, supplier capability, continuity, digital data, and long-term organizational resilience. Ethical governance requires transparent assumptions, reliable data, accountable benefit ownership, and refusal to sacrifice safety or customer welfare for short-term financial performance.

Key Terms

Cost of Quality: Total cost associated with achieving quality and failing to achieve it.

Cost of Poor Quality: Costs caused by defects, errors, delays, failures, and related opportunity losses.

Prevention Cost: Expenditure intended to prevent nonconformance before it occurs.

Appraisal Cost: Expenditure on inspection, testing, auditing, and verification.

Internal Failure Cost: Cost of nonconformance detected before delivery to the customer.

External Failure Cost: Cost of nonconformance detected after delivery to the customer.

First-Pass Yield: Percentage of units meeting requirements without rework.

Rolled Throughput Yield: Probability that a unit passes all process stages without correction.

Productivity: Relationship between useful output and the resources used to produce it.

Capacity: Ability of a process or system to produce output over a specified period.

Return on Investment: Net benefit expressed as a proportion of investment.

Payback Period: Time required for cumulative benefits to recover initial investment.

Net Present Value: Present value of future cash flows less the initial investment.

Expected Monetary Value: Probability-weighted estimate of financial outcomes.

Sensitivity Analysis: Examination of how results change when assumptions vary.

Improvement Portfolio: Coordinated collection of improvement initiatives managed as a group.

Customer Value: Benefits perceived by customers relative to the total sacrifice required.

Supply-Chain Resilience: Ability of a supply network to withstand, recover from, and adapt to disruption.

Stage-Gate Governance: Decision process that authorizes continuation, modification, or termination at defined stages.

Benefit Realization: Process of verifying that planned project benefits have actually occurred.

Review Questions

Short Answer Questions

1. Distinguish prevention costs from appraisal costs.

2. Why may a reduction in rework create effective capacity?

3. State one limitation of the payback period.

4. What is meant by cost avoidance?

5. Why should quality projects be managed as a portfolio?

Long Answer Questions

1. Explain the prevention–appraisal–failure model and discuss how it supports quality investment decisions.

2. Compare ROI, payback period, and NPV as methods for evaluating quality projects.

3. Discuss how customer value and supply-chain resilience broaden the financial evaluation of quality initiatives.

4. Explain the role of expected monetary value, scenario analysis, and sensitivity analysis in risk-adjusted decision-making.

5. Describe a governance system for selecting, funding, and reviewing a strategic quality improvement portfolio.

Analytical / Application Questions

1. A project costs $300,000 and is expected to reduce annual failure costs by $250,000 while adding $40,000 in annual operating cost. Calculate the approximate payback period and identify two non-financial issues that should also be assessed.

2. An organization improves first-pass yield but observes no reduction in total labor cost. Explain how the project may still create value and what evidence is required to prove it.

3. A supplier-development project has a modest ROI but substantially reduces the probability of a six-month supply interruption. Recommend a method for evaluating the project and justify your choice.

22. Multiple Choice Questions with Answers

Question 1

Which combination represents the traditional four categories of cost of quality?

A. Marketing, sales, logistics, and finance

B. Prevention, appraisal, internal failure, and external failure

C. Labor, material, overhead, and profit

D. Planning, execution, monitoring, and closure

Correct Answer: B. Prevention, appraisal, internal failure, and external failure

Question 2

A project reduces rework but does not reduce headcount. Which benefit may still be valid if supported by evidence?

A. Automatic cash saving equal to all released labor hours

B. Released capacity that can support additional contribution or reduce overtime

C. Guaranteed increase in selling price

D. Elimination of all appraisal costs

Correct Answer: B. Released capacity that can support additional contribution or reduce overtime

Question 3

What is the principal limitation of a simple payback calculation?

A. It cannot use annual benefits

B. It ignores the initial investment

C. It generally ignores discounted cash flows and benefits after payback

D. It can only be used for compliance projects

Correct Answer: C. It generally ignores discounted cash flows and benefits after payback

Question 4

A quality project has uncertain outcomes with different probabilities. Which method is most directly designed to calculate a probability-weighted financial result?

A. Expected monetary value

B. First-pass yield

C. Rolled throughput yield

D. Benchmarking

Correct Answer: A. Expected monetary value

Question 5

Which statement best describes strategic alignment of a quality project?

A. The project has the largest department budget

B. The project links a strategic objective to customer requirements, process capability, and measurable outcomes

C. The project uses the newest available technology

D. The project has the shortest implementation schedule

Correct Answer: B. The project links a strategic objective to customer requirements, process capability, and measurable outcomes

Question 6

Why might a project with a lower ROI still be approved?

A. ROI is never useful

B. It may be essential for safety, compliance, customer trust, or resilience

C. Lower ROI always means lower risk

D. It guarantees faster payback

Correct Answer: B. It may be essential for safety, compliance, customer trust, or resilience

Question 7

Which situation is an example of double counting in a quality business case?

A. Including both prevention cost and appraisal cost as separate categories

B. Counting reduced scrap as a benefit and then adding the same reduced material expense again as capacity savings

C. Comparing best-case and worst-case scenarios

D. Separating hard savings from cost avoidance

Correct Answer: B. Counting reduced scrap as a benefit and then adding the same reduced material expense again as capacity savings

Question 8

What is the purpose of stage-gated funding for an uncertain technology project?

A. To guarantee full funding before evidence is collected

B. To avoid measuring pilot outcomes

C. To allow continuation, modification, or termination as evidence develops

D. To replace all financial analysis with expert opinion

Correct Answer: C. To allow continuation, modification, or termination as evidence develops

Question 9

Which measure most directly indicates that output meets requirements without rework?

A. First-pass yield

B. External failure cost

C. Payback period

D. Expected monetary value

Correct Answer: A. First-pass yield

Question 10

Why can maintaining a second qualified supplier be strategically rational despite higher short-term cost?

A. It always maximizes productivity

B. It may reduce the expected and strategic consequences of supply disruption

C. It eliminates the need for supplier audits

D. It guarantees lower purchase prices

Correct Answer: B. It may reduce the expected and strategic consequences of supply disruption