Chapter 12
Global Operations, Supply Networks and Resilience
Bachelors Program in International Business
Principles of Global Management
•
Bachelor
Global Operations, Supply Networks and Resilience
Introduction
Global operations management coordinates the resources, facilities, suppliers, information and logistics required to deliver products and services across borders. Its purpose extends beyond minimizing production cost. Managers must balance cost, quality, speed, flexibility, innovation, sustainability and resilience while operating under exchange-rate movements, geopolitical tensions, climate hazards and regulatory differences.
The traditional image of a linear supply chain is increasingly inadequate. Most multinational firms operate within interconnected supply networks containing multiple supplier tiers, contract manufacturers, logistics providers, digital platforms and distribution channels. A disruption at an obscure upstream supplier can therefore affect many downstream organizations.
Effective global operations strategy aligns network design with the organization’s competitive priorities. A low-cost network may emphasize scale and capacity utilization, whereas a responsiveness strategy may require regional facilities, redundant capacity and shorter lead times.
Learning Objectives
After studying this chapter, students should be able to:
Explain the structure and strategic role of global value chains and supply networks.
Evaluate sourcing and location decisions using cost, risk and strategic criteria.
Distinguish outsourcing, offshoring, nearshoring and reshoring.
Apply capacity, inventory, quality and logistics concepts to global operations.
Manage suppliers through segmentation, collaboration and governance.
Assess disruption exposure using resilience metrics and scenario analysis.
Explain how traceability, digital technologies and sustainability requirements influence network design.
Recommend resilient operating strategies under geopolitical uncertainty.
1. From Value Chains to Global Supply Networks
A value chain is the set of activities through which an organization creates and delivers value. Primary activities commonly include inbound logistics, operations, outbound logistics, marketing, sales and service. Supporting activities include procurement, technology, human resources and infrastructure.
A supply chain focuses more specifically on the flows of materials, services, information and funds from origin to final customer. A supply network recognizes that these flows rarely form a simple line. A focal firm may purchase from hundreds of Tier 1 suppliers, which depend on additional upstream tiers.
Tier 1 suppliers sell directly to the focal firm.
Tier 2 suppliers supply Tier 1 firms.
Tier 3 suppliers supply Tier 2 firms or provide upstream raw materials and components.
The sequence is not universal—some upstream suppliers may sell across tiers—but the typical flow is Tier 3 → Tier 2 → Tier 1 → focal firm.
Typical multi-tier supply network from Tier 3 suppliers to customers
Figure: Typical multi-tier supply network from Tier 3 suppliers to customers
Figure: A typical multi-tier network in which physical inputs move from Tier 3 through Tier 2 and Tier 1 to the focal firm and market.
Strategic alignment
Operations choices should support the firm’s competitive priorities:
Priority
Typical operating implication
Low cost
Scale, standardization, high utilization and efficient logistics
Quality
Process control, supplier certification and prevention systems
Speed
Proximity, rapid transport and streamlined customs processes
Flexibility
Modular processes, multiple suppliers and adaptable capacity
Innovation
Early supplier involvement and knowledge-sharing partnerships
Sustainability
Low-carbon energy, circular design and responsible sourcing
Resilience
Buffers, visibility, diversification and tested recovery plans
Trade-offs are common. High capacity utilization can reduce unit cost but leave little ability to absorb demand surges. Extensive product variety may strengthen market responsiveness while increasing inventory and process complexity.
2. Theoretical Foundations of Network Decisions
Several theories clarify why firms organize global operations differently.
Transaction cost economics
Transaction cost economics compares internal production with market contracting. Outsourcing becomes less attractive when an activity involves high asset specificity, uncertainty or difficult-to-measure performance. A supplier that must invest in unique machinery may fear opportunistic renegotiation, while the buyer may fear dependence on that supplier. Longer contracts, joint ventures or vertical integration can reduce these hazards.
Resource-based view
The resource-based view suggests that strategically valuable, rare and difficult-to-imitate capabilities should generally remain under organizational control. A firm may outsource routine transport while retaining proprietary process engineering or product architecture.
Network and dependency perspectives
Network theory emphasizes relationships rather than isolated transactions. Supplier collaboration can enable innovation, but central suppliers may become systemic points of failure. Resource dependence theory further explains why firms diversify sources, acquire suppliers or create alliances to reduce dependence on powerful external actors.
Real-options reasoning
Resilience investments can be interpreted as options. A prequalified backup supplier may not receive normal production volume, but it gives the firm the right—not the obligation—to shift volume during disruption. The option has value even when it is not routinely exercised.
3. Location and Sourcing Decisions
3.1 Total landed cost
Purchase price alone is an incomplete sourcing measure. Total landed cost includes the costs required to make an input available for use at its destination.
TLC = P + F + I + H + Q + A + C
Here, TLC is total landed cost per unit; P is purchase price; F is freight and insurance; I is import duties and nonrecoverable taxes; H is inventory carrying cost attributable to lead time; Q is expected quality-related cost; A is administrative and compliance cost; and C represents other relevant unit costs. All terms must use the same currency and unit basis. Recoverable taxes should not be treated as economic costs.
Managers should also consider exchange-rate exposure, intellectual-property risk, carbon cost, supply continuity and the cost of managerial complexity. These may be quantified where credible, but strategic consequences should not be hidden behind unsupported numerical assumptions.
3.2 Break-even location analysis
When alternatives have different fixed and variable costs, their annual costs can be compared as:
TCi = Fi + viQ
For alternative i, TCi is total cost per period, Fi is fixed cost per period, vi is variable cost per unit, and Q is output in units per period. The model assumes that costs are approximately linear over the relevant capacity range and that alternatives provide comparable output and quality.
For locations A and B, their break-even volume is:
Q^* = (FA - FB) ÷ (vB - vA)
This expression applies when vA ≠ vB.
Worked example. Location A has annual fixed cost of $2,000,000 and variable cost of $18 per unit. Location B has annual fixed cost of $800,000 and variable cost of $24 per unit.
At 200,000 units, both cost $5.6 million. Above that volume, A is less costly because its variable cost is lower; below it, B is less costly. The conclusion is valid only within the capacities and cost ranges assumed.
3.3 Weighted-factor analysis
Managers may score locations on labor skills, infrastructure, political stability, proximity and other criteria:
Sj = ∑k=1n wk rjk
Here, Sj is the score for location j, wk is the weight of criterion k, and rjk is location j’s rating on that criterion. Weights commonly sum to 1. Ratings must use a consistent scale and direction.
The method improves transparency but does not eliminate judgment. Scores should therefore be tested through sensitivity analysis—for example, by changing geopolitical-risk weights and observing whether the ranking changes.
4. Outsourcing and the Geography of Production
Ownership and geographic location are separate dimensions.
Strategy
Meaning
Typical rationale
Major concern
Outsourcing
Transferring an activity to an external provider
Expertise, flexibility or lower cost
Loss of control or knowledge
Offshoring
Moving activity to another country, internally or externally
Cost, talent or market access
Distance and geopolitical exposure
Nearshoring
Moving activity to a nearby country
Shorter lead time and regional integration
Possibly higher operating cost
Reshoring
Returning activity to the home country
Control, resilience or automation
Skills and investment constraints
Captive production
Performing activity in a company-owned facility
Capability and intellectual-property control
Capital commitment
A company can outsource domestically, offshore to its own subsidiary, or both offshore and outsource. These terms should not be treated as synonyms.
A sound make-or-buy evaluation addresses:
Strategic importance and intellectual property.
Full life-cycle cost rather than quoted price.
Supplier capability, capacity and financial health.
Switching costs and potential lock-in.
Political, legal and trade exposure.
Labor, human-rights and environmental performance.
Reversibility if the arrangement fails.
Reshoring is not automatically superior. It may reduce transport distance but increase energy emissions if domestic production uses a more carbon-intensive energy mix. Similarly, nearshoring can shorten lead times without eliminating dependence on globally sourced raw materials.
5. Supplier Portfolio and Relationship Management
Not all suppliers require the same relationship. A purchasing portfolio commonly classifies items using supply risk and profit or operational impact:
Routine items: low risk and low impact; automate and simplify transactions.
Leverage items: low risk and high impact; consolidate volume and negotiate competitively.
Bottleneck items: high risk and relatively low financial impact; secure availability and identify substitutes.
Strategic items: high risk and high impact; develop long-term collaboration and joint risk plans.
Supplier selection should combine commercial and operational criteria. Common measures include quality, delivery reliability, capacity, technology, financial stability, cybersecurity and sustainability.
Supplier development
Supplier development may involve process training, quality engineering, shared forecasting, financing support or joint technology investment. It can raise performance but may also increase buyer dependence. Agreements should specify data ownership, confidentiality, audit rights, improvement responsibilities and the treatment of jointly created intellectual property.
Concentration risk
Supplier diversification is valuable only when sources are genuinely independent. Two suppliers located in the same floodplain or dependent on the same sub-tier semiconductor plant provide limited redundancy.
A simple concentration indicator is the Herfindahl–Hirschman Index:
HHI = ∑i=1m si2
Here, si is supplier i’s share expressed as a decimal and m is the number of suppliers. The index ranges from 1/m for equal shares to 1 for a single source. It indicates concentration, not the actual probability of disruption, and should be supplemented with geographic and sub-tier dependency analysis.
6. Capacity, Inventory and the Bullwhip Effect
6.1 Capacity cushion
A capacity cushion is planned capacity above expected output, expressed as a percentage of capacity:
Capacity cushion = ((C - Qe) ÷ C) × 100%
Here, C is available or effective capacity per period and Qe is expected output in the same units and period, with C > 0. If weekly capacity is 1,000 units and expected output is 800 units, the cushion is:
((1,000 - 800) ÷ 1,000) × 100% = 20%
The corresponding expected utilization is 80%. A measure using expected demand as the denominator would instead describe capacity above demand relative to demand—often called a reserve margin—and is not the standard capacity-cushion calculation.
6.2 Safety stock and reorder point
For independent demand with constant lead time, a common reorder-point model is:
ROP = d̄L + zσd√L
Here, ROP is the reorder point in units, d̄ is mean demand per period, L is constant lead time measured in the same periods, σd is the standard deviation of demand per period, and z is the standard-normal service factor. Safety stock is zσd√L.
The formula assumes independent, approximately normally distributed period demand and a fixed lead time. Correlated demand, variable lead time, intermittent demand or capacity constraints require different models or simulation.
Buffers improve continuity but carry costs, can become obsolete and may conceal underlying process problems. Managers should place inventory where it protects important flows rather than applying uniform increases.
6.3 Bullwhip effect
The bullwhip effect occurs when order variability increases upstream relative to final-customer demand. One diagnostic is:
Bullwhip ratio = Var(O) ÷ Var(D)
Here, Var(O) is the variance of replenishment orders and Var(D) is the variance of customer demand over comparable periods. A value above 1 indicates amplification. Causes include forecast updating, batch ordering, promotions, rationing behavior and long lead times. Shared point-of-sale information, smaller batches, stable pricing and coordinated replenishment can reduce amplification.
7. Quality Management Across Borders
Global quality management must account for differences in supplier capability, measurement systems, language, regulation and production culture.
Total quality management treats quality as an organization-wide responsibility based on customer focus, prevention, employee involvement and continuous improvement. Six Sigma applies structured problem solving and statistical methods to reduce defects and process variation. Statistical process control monitors whether process variation remains stable over time; it should not be confused with final inspection.
The cost of quality contains four categories:
Category
Examples
Prevention
Training, process design and supplier qualification
Appraisal
Inspection, testing and audits
Internal failure
Scrap and rework before delivery
External failure
Returns, recalls, warranty and reputational loss
The managerial goal is not to eliminate all prevention and appraisal expenditure. It is to invest sufficiently in prevention and control to reduce total failure cost while meeting customer and regulatory requirements.
Supplier quality agreements should define specifications, sampling procedures, change-notification duties, corrective-action processes and traceability requirements. Unauthorized process or material changes are especially dangerous in regulated or safety-critical sectors.
8. Global Logistics and Trade Coordination
Logistics manages transportation, storage, handling, customs and order fulfillment. Mode choice involves trade-offs:
Mode
Relative speed
Relative cost
Typical use
Air
Very high
Very high
Urgent, light or high-value goods
Ocean
Low
Low
High-volume international freight
Rail
Medium
Medium-low
Long-distance land corridors
Road
Medium-high
Medium
Flexible regional distribution
Multimodal
Variable
Variable
Integrated cross-border movement
Managers should evaluate total logistics performance rather than freight rates alone. A slower mode may increase pipeline inventory, shortage risk and working capital. Customs delays and port congestion also make transit-time variability strategically important.
Incoterms allocate specified delivery tasks, costs and risks between seller and buyer. They do not by themselves determine ownership, payment terms or every legal obligation. Firms should use the current rules, identify the named place precisely and align the chosen term with insurance and customs arrangements.
Important logistics measures include:
On-time, in-full (OTIF): orders delivered by the promised time and in the required quantity.
Perfect-order rate: orders delivered complete, timely, damage-free and with correct documentation.
Order-cycle time: elapsed time between order placement and fulfillment.
Inventory turns: annual cost of goods sold divided by average inventory, using consistent valuation.
Cash-to-cash cycle: days inventory outstanding plus days sales outstanding minus days payables outstanding.
No single metric is sufficient. High inventory turns, for example, may reflect efficiency or an inadequate buffer that causes lost sales.
9. Resilience Under Disruption
Supply network resilience is the capacity to anticipate disruption, absorb its effects, recover to an acceptable operating state and adapt. It differs from robustness, which is the ability to continue operating without major performance deterioration.
9.1 Risk identification
Risks may arise from:
natural hazards and climate change;
war, sanctions and trade restrictions;
supplier insolvency or labor conflict;
cyberattacks and technology outages;
transport infrastructure failures;
epidemics and border closures;
quality failures and product recalls;
demand shocks and misinformation.
Probability–impact matrices can prioritize risks, but rare systemic events are difficult to estimate. Scenario analysis and stress testing are therefore essential complements.
If credible probability and loss estimates exist, expected loss is:
EL = ∑i=1n piLi
Here, pi is the probability of mutually exclusive scenario i during a defined period, and Li is its monetary loss. Expected loss is a risk-neutral average, not the maximum loss or a prediction of what will occur. Correlated events, tail risks and risk aversion require additional analysis.
9.2 Recovery metrics
Recovery time objective (RTO): the targeted maximum acceptable time for restoring a process or service after disruption.
Time to recover (TTR): the estimated or observed duration required for a facility or node to restore the relevant capability.
Time to survive (TTS): the duration for which downstream demand can continue to be served after a node stops supplying, using available inventory, capacity and alternatives.
If a node’s TTR exceeds the network’s TTS, an interruption is likely unless mitigation reduces recovery time or extends survival time. RTO is a managerial target; it must not be confused with the actual restoration duration.
9.3 Resilience strategies
Resilience measures include:
Mapping critical suppliers beyond Tier 1.
Dual or multiple sourcing where sources are independent.
Regionalizing selected production and inventory.
Maintaining capacity cushions or flexible equipment.
Prequalifying substitute materials and suppliers.
Establishing emergency logistics routes.
Designing products with interchangeable components.
Sharing demand and inventory information.
Conducting simulations and continuity exercises.
Protecting digital systems and supplier connections.
Redundancy has a cost. The appropriate level depends on criticality, customer consequences, recovery difficulty and risk tolerance. Resilience should be economically designed rather than pursued without limits.
10. Traceability, Digital Technology and Artificial Intelligence
Traceability is the ability to identify the history, location and movement of materials, components and products. Effective systems connect lot or serial identifiers with suppliers, processes, test results and shipments. Traceability supports recalls, regulatory compliance, provenance claims and disruption analysis.
Technologies include barcodes, radio-frequency identification, Internet of Things sensors, control towers and distributed ledgers. A blockchain can make recorded transactions difficult to alter, but it cannot guarantee that the original data were truthful. Governance and verification remain necessary.
Artificial intelligence can assist with demand forecasting, anomaly detection, transport routing, supplier-risk monitoring and scenario generation. However, models trained on stable historical patterns may perform poorly during structural disruptions. Firms should monitor data quality, explain material decisions, protect confidential supplier data and retain human oversight.
Digital integration also creates cyber risk. Segmentation, access controls, backup systems, incident plans and supplier cybersecurity requirements are therefore components of operational resilience.
11. Sustainability, Ethics and Governance
Global sourcing can transfer environmental and labor impacts to locations where oversight is weaker. Responsible operations require attention to wages, working hours, worker safety, forced labor, child labor, community impacts, emissions, water use, waste and biodiversity.
Supplier codes of conduct are insufficient without risk-based due diligence. A credible process includes:
Policy commitments and assigned accountability.
Mapping and assessment of high-risk categories and regions.
Supplier engagement and worker-accessible grievance mechanisms.
Corrective action with realistic deadlines.
Independent verification where appropriate.
Remediation for affected people.
Transparent reporting and board oversight.
Immediate termination may protect a buyer’s reputation while worsening conditions for workers. Responsible disengagement should consider leverage, remediation prospects and the consequences of withdrawal, except where law or severe danger requires immediate action.
Environmental assessment should use a life-cycle perspective. A nearby supplier is not necessarily lower-carbon if production technology is inefficient. Firms should distinguish operational emissions from value-chain emissions and avoid unsupported sustainability claims. Forced-labor import controls, carbon reporting rules and supply-chain due-diligence laws vary by jurisdiction and evolve over time; managers must verify current applicability with qualified legal specialists.
12. Integrated Performance Management
A balanced operations dashboard combines financial and nonfinancial indicators:
Dimension
Illustrative measures
Cost
Total landed cost, conversion cost and logistics cost
Service
OTIF, fill rate and order-cycle time
Quality
Defect rate, returns and corrective-action closure
Assets
Capacity utilization, inventory turns and cash cycle
Resilience
TTR, TTS, supplier concentration and tested backup capacity
Sustainability
Emissions intensity, audit findings and waste recovery
Innovation
Supplier ideas implemented and development lead time
Metrics can create dysfunctional behavior when used in isolation. Purchasing teams rewarded only for price savings may select distant suppliers with higher total cost and risk. Cross-functional governance should connect procurement, operations, finance, logistics, sustainability, cybersecurity and legal expertise.
Aster Mobility, a fictional European electric-bicycle producer, purchases electronic controllers from one Asian Tier 1 supplier. That supplier depends on a single Tier 2 semiconductor packaging plant. Demand is 40,000 controllers per year over 50 operating weeks, or 800 per week.
Problem
A port closure delayed controllers for six weeks. Aster had visibility of its Tier 1 supplier but did not know about the Tier 2 concentration. Management considered qualifying a nearshore supplier.
Analysis
The incumbent source quoted $72 per unit. Freight and duties were $11, and its 2.5% defect rate generated an expected incremental quality cost of 0.025 × $35 = $0.875 per unit. Management estimated a 12% annual probability of a disruption causing an $800,000 loss. Under a simplified risk-neutral expected-loss model, this was:
0.12 × $800,000 = $96,000 per year
Allocated across 40,000 units, expected disruption loss was $2.40 per unit. The resulting expected cost was:
$72 + $11 + $0.875 + $2.40 = $86.275 per unit
The nearshore supplier quoted $79, with $4 logistics cost and a 1% defect rate. Its expected quality cost was 0.01 × $35 = $0.35 per unit. A 5% probability of a $400,000 annual disruption implied $20,000, or $0.50 per unit. Qualification cost was $180,000, amortized for the internal comparison over three years: $60,000 per year, or $1.50 per unit at 40,000 units.
$79 + $4 + $0.35 + $0.50 + $1.50 = $85.35 per unit
The calculation favored nearshoring by $0.925 per unit under the stated assumptions. However, management tested different disruption probabilities, volumes and exchange rates because the expected-loss estimates were uncertain.
Approach
Aster adopted a dual-source plan rather than replacing one dependency with another. It allocated 60% of normal volume to the nearshore supplier and retained 40% with the Asian supplier. It verified that the suppliers did not share the same critical sub-tier source, approved an interchangeable controller design and established lot-level traceability.
Combined effective weekly capacity was set at 1,000 controllers against expected weekly output of 800. The capacity cushion was therefore:
((1,000 - 800) ÷ 1,000) × 100% = 20%
Aster also defined an RTO of two weeks for controller supply, modeled TTR and TTS by node, and positioned limited strategic inventory near final assembly.
Outcome
The proposed design modestly reduced expected unit cost while improving source independence, visibility and recovery options. It did not eliminate risk: both suppliers remained exposed to global semiconductor markets, and maintaining two qualified sources increased coordination costs.
Learning Points
Unit purchase price is not equivalent to expected total cost.
Multi-tier mapping can reveal hidden common dependencies.
Dual sourcing is effective only when sources are operationally independent.
Capacity cushions and strategic inventory can absorb shocks but carry costs.
RTO is a restoration target, whereas TTR represents estimated or observed recovery duration.
Sensitivity analysis is necessary when probabilities and losses are uncertain.
14. Managerial Best Practices and Limitations
Effective global operations managers should:
align network configuration with competitive strategy;
compare alternatives using total cost, risk and capability;
segment suppliers and tailor relationship governance;
develop measurable continuity plans with accountable owners;
validate backup capacity through exercises rather than contractual claims alone;
integrate quality, sustainability and cybersecurity into sourcing;
maintain decision logs and challenge uncertain assumptions;
use technology to improve judgment, not replace accountability.
No framework fully captures complex global networks. Cost models may omit systemic effects, historical data may underrepresent unprecedented events, and diversification may sacrifice economies of scale. Managers must therefore combine quantitative analysis with local knowledge, ethical judgment and scenario-based reasoning.
Chapter Summary
Global operations management involves designing and coordinating international networks of facilities, suppliers, logistics providers and information flows. Strategic decisions must balance cost, quality, speed, flexibility, innovation, sustainability and resilience.
Total landed cost, break-even analysis and weighted-factor models support sourcing and location decisions, but their assumptions require sensitivity testing. Outsourcing concerns organizational boundaries, whereas offshoring, nearshoring and reshoring concern geography. Supplier portfolio management, development and multi-tier mapping help firms allocate managerial attention and reduce hidden dependency.
Capacity cushions, safety stock, process quality and effective logistics can improve service continuity. Resilience depends on anticipating, absorbing, recovering from and adapting to disruptions. RTO represents the targeted maximum acceptable restoration time, while TTR and TTS assess recovery exposure. Traceability, digital systems and AI improve visibility but introduce data-governance and cybersecurity challenges. Sustainable network management further requires credible due diligence, remediation and life-cycle thinking.
Key Terms
Bullwhip effect: Amplification of order variability as demand information moves upstream.
Capacity cushion: Capacity above expected output expressed as a percentage of capacity.
Dual sourcing: Purchasing an input from two qualified sources.
Global value chain: Internationally distributed activities through which value is created and delivered.
Incoterms: Standard trade rules allocating specified delivery tasks, costs and risks.
Nearshoring: Moving an activity to a geographically nearby country.
Offshoring: Moving an activity to another country, regardless of ownership.
Outsourcing: Contracting an external organization to perform an activity.
Recovery time objective (RTO): Targeted maximum acceptable restoration time for a process or service.
Reshoring: Returning an activity to the firm’s home country.
Safety stock: Inventory held to protect against demand or supply uncertainty.
Supplier development: Buyer actions intended to improve supplier capabilities and performance.
Supply network resilience: Capacity to anticipate, absorb, recover from and adapt to disruption.
Time to recover (TTR): Estimated or observed duration required to restore relevant capability.
Time to survive (TTS): Duration demand can continue to be served after supply stops.
Total landed cost: Full relevant cost of acquiring and making an input available at its destination.
Traceability: Ability to identify the history, location and movement of products or materials.
Transaction cost economics: Theory explaining organizational boundaries through production and contracting costs.
Review Questions
Short Answer Questions
Distinguish a supply chain from a supply network.
What costs may be included in total landed cost?
How does nearshoring differ from outsourcing?
Why may two suppliers fail to provide genuine redundancy?
Distinguish RTO, TTR and TTS.
Long Answer Questions
Explain how transaction cost economics and the resource-based view inform make-or-buy decisions.
Evaluate the benefits and limitations of reshoring as a resilience strategy.
Discuss how supplier portfolio classification affects relationship management.
Explain the causes of the bullwhip effect and evaluate methods for reducing it.
Discuss the ethical and governance responsibilities of firms in multi-tier global supply networks.
Analytical / Application Questions
A company has capacity of 15,000 units per month and expected output of 12,000. Calculate its capacity cushion and discuss whether it is necessarily adequate.
Location X has fixed annual cost of $3 million and variable cost of $20 per unit. Location Y has fixed cost of $1.5 million and variable cost of $25 per unit. Calculate the break-even volume and identify the lower-cost option at 400,000 units.
Design a resilience plan for a company that relies on one overseas supplier for a safety-critical component. Address mapping, sourcing, inventory, capacity, quality, logistics and recovery metrics.
Multiple Choice Questions with Answers
Question 1
Which sequence represents the typical upstream-to-downstream flow in a multi-tier supply network?
A facility has effective weekly capacity of 2,500 units and expected output of 2,000 units. What is its capacity cushion?
A. 20%
B. 25%
C. 80%
D. 125%
Correct Answer: A. 20%
Question 3
What does a recovery time objective (RTO) specify?
A. The actual duration of the most recent disruption
B. The period for which inventory remains usable
C. The targeted maximum acceptable restoration time
D. The probability that restoration will fail
Correct Answer: C. The targeted maximum acceptable restoration time
Question 4
Location A has fixed annual costs of $2,000,000 and variable costs of $18 per unit. Location B has fixed costs of $800,000 and variable costs of $24 per unit. What is the break-even volume?
A. 120,000 units
B. 160,000 units
C. 200,000 units
D. 300,000 units
Correct Answer: C. 200,000 units
Question 5
Which statement correctly distinguishes outsourcing from offshoring?
A. Outsourcing concerns external ownership, while offshoring concerns foreign location.
B. Outsourcing always involves a foreign supplier, while offshoring is domestic.
C. Outsourcing concerns transport, while offshoring concerns quality.
D. Outsourcing and offshoring have identical meanings.
Correct Answer: A. Outsourcing concerns external ownership, while offshoring concerns foreign location.
Question 6
A firm uses two suppliers, but both depend on the same Tier 2 semiconductor plant. What is the principal resilience concern?
A. Excessive capacity cushion
B. A hidden common point of failure
C. Low supplier concentration
D. Excessive product standardization
Correct Answer: B. A hidden common point of failure
Question 7
Which purchasing approach is most appropriate for a high-impact, high-supply-risk strategic item?
A. Automate transactions with minimal interaction
B. Switch suppliers after every purchase
C. Develop long-term collaboration and joint risk plans
D. Eliminate all supplier information sharing
Correct Answer: C. Develop long-term collaboration and joint risk plans
Question 8
Under the chapter's simplified model, a bullwhip ratio greater than 1 indicates that:
A. upstream order variability exceeds customer-demand variability
B. customer demand has zero variance
C. inventory carrying cost exceeds purchase cost
D. capacity exceeds expected output
Correct Answer: A. upstream order variability exceeds customer-demand variability
Question 9
Which limitation of blockchain-based traceability is academically valid?
A. Blockchain prevents any organization from recording transactions.
B. Blockchain automatically verifies that all original input data are truthful.
C. Blockchain eliminates the need for governance and audits.
D. Blockchain may protect records from alteration but cannot ensure truthful initial data.
Correct Answer: D. Blockchain may protect records from alteration but cannot ensure truthful initial data.
Question 10
A disruption has a 5% annual probability and would cause a $600,000 loss. Under a risk-neutral expected-loss calculation, what is the annual expected loss?