7. Global Logistics Network Design

Introduction and Context

Global logistics network design is the strategic process of determining how products, information, inventory, transport capacity, and trade-related services should flow across countries and regions. It involves decisions about the location, number, size, ownership, and roles of ports, airports, gateways, distribution centres, fulfilment facilities, bonded warehouses, free zones, and inland logistics hubs. These decisions also determine where inventory is positioned, which markets are served from which facilities, and how international shipments are routed.

Network design differs from day-to-day logistics planning. Daily planning allocates orders to available facilities and transport services, whereas network design establishes the physical and commercial structure within which those activities occur. A poor network may continue to generate high costs and unreliable service even when individual shipments are managed efficiently. Conversely, a well-designed network can reduce total landed cost, improve resilience, shorten customer lead times, and support market expansion.

The problem is particularly complex in international trade because costs and constraints extend beyond freight rates. Customs duties, import taxes, port charges, inland transport, inventory carrying cost, currency exposure, regulatory requirements, congestion, trade agreements, carbon emissions, and geopolitical risk all influence the appropriate network. The least expensive transport route is therefore not necessarily the least expensive supply-chain design.

This chapter develops an analytical approach to global logistics network design. It explains how to evaluate gateways and facilities, position inventory, apply centre-of-gravity and network optimization methods, use postponement, and test alternatives through scenario analysis. The emphasis is on managerial decision-making rather than on a single universal network structure.

Learning Objectives

After studying this chapter, the learner should be able to:

1. Explain the strategic role of global logistics network design in international trade.

2. Distinguish among ports, gateways, distribution centres, free zones, and inland logistics hubs.

3. Calculate and interpret total landed cost and centre-of-gravity results.

4. Formulate the principal decisions in a network optimization model.

5. Evaluate inventory positioning and postponement alternatives.

6. Use scenario analysis to assess uncertainty, resilience, and trade-offs.

7. Recommend a network structure for a realistic international logistics problem.

8. Identify regulatory, ethical, technological, and implementation risks.

The Architecture of a Global Logistics Network

A logistics network has several interconnected layers. The physical layer includes suppliers, production plants, seaports, airports, border crossings, rail terminals, distribution centres, warehouses, and customers. The information layer links forecasts, orders, customs documents, transport visibility, inventory records, and performance data. The institutional layer includes carriers, customs authorities, port operators, freight forwarders, third-party logistics providers, free-zone administrators, banks, insurers, and regulators.

A network design decision should therefore consider more than facility geography. It must examine the relationship between location, capacity, service, ownership, trade treatment, and operating processes. For example, a coastal distribution centre may have excellent access to an ocean gateway but poor access to inland customers. A free-zone facility may defer customs duties but add handling, compliance, and drayage costs. A central warehouse may reduce inventory duplication but increase average delivery distance and vulnerability to disruption.

Principal network nodes

A port is a maritime interface through which cargo is transferred between vessels and inland transport. Port selection depends on ocean service frequency, vessel connectivity, handling productivity, berth and yard capacity, congestion, security, draft restrictions, customs processes, and inland connectivity.

An air cargo gateway performs a comparable function for time-sensitive or high-value freight. Its advantages may include speed, frequency, and reliability, while its disadvantages usually include high transport cost, capacity restrictions, and greater sensitivity to fuel prices.

A gateway is a strategically important entry or exit point connecting international flows to a regional or national market. It may be a seaport, airport, border crossing, or multimodal corridor. Gateway choice should be evaluated in relation to the entire inland route, not only the international leg.

A distribution centre (DC) receives, stores, sorts, consolidates, breaks down, and dispatches products. Some DCs hold inventory; others operate primarily as cross-docking or flow-through facilities. A regional DC normally balances transport economies, customer response time, inventory pooling, and facility cost.

A free zone is a designated area in which goods may receive special customs treatment, such as duty suspension or simplified procedures, subject to national law and zone conditions. Free zones can support postponement, regional distribution, light processing, labelling, and re-export. Their benefits must be assessed against compliance obligations, handling costs, administrative controls, and the ultimate destination of goods.

An inland container depot or dry port provides customs, consolidation, storage, and container-handling functions away from the seaport. It can reduce port congestion and improve inland coordination when supported by reliable rail or road links.

The Economics of Network Design

Total landed cost

Total landed cost (TLC) is the complete cost of making a product available at its intended destination. A simplified expression is:

TLC = product cost + origin costs + international freight + insurance + destination charges + inland transport + customs duties and taxes + handling and storage + inventory carrying cost + compliance cost + expected disruption cost − recoverable benefits

The precise components depend on the product, Incoterm, tax system, and accounting policy. Product cost may be included when comparing sourcing alternatives, but it should not be double-counted. Duties may be based on customs value, tariff classification, origin, and trade-agreement eligibility. Taxes that are recoverable may be treated differently from non-recoverable taxes. Inventory carrying cost includes capital, insurance, obsolescence, shrinkage, and storage-related costs.

The relevant measure is often the incremental or avoidable cost of an alternative. A facility may appear expensive because it includes fixed overhead, but if that overhead is already committed it may not affect a short-term routing decision. Conversely, a cost that appears small per shipment may be strategically important when multiplied by annual volume.

For network comparisons, managers should also include service and risk where they have economic consequences. A delayed shipment may cause lost sales, production stoppage, contractual penalties, or emergency airfreight. These can be represented through expected cost, service-level constraints, or separate scenario analysis.

Fixed, variable, and semi-variable costs

Facility rent, equipment, information systems, and management salaries are generally fixed or semi-fixed. Port handling, line-haul transport, customs brokerage, and labour may be variable with volume. Utilities, additional shifts, leased equipment, and overflow storage are often semi-variable. A network that minimizes variable cost may be unattractive if it requires excessive fixed investment; a low-investment network may create high recurring transport and inventory costs.

The design horizon matters. A long-term network model can include facility opening, expansion, closure, and relocation. A tactical model may assume the facilities are fixed and optimize flows within existing capacity. Confusing these horizons can lead to incorrect recommendations.

Locating Facilities: From Intuition to Analysis

The centre-of-gravity method

The centre-of-gravity method provides an initial estimate of a facility location based on demand or shipment volume and geographical coordinates. For demand points i:

X\ = \u03a3(ViXi) / \u03a3Vi

Y\ = \u03a3(ViYi) / \u03a3Vi

where Vi is the shipment volume or demand weight at point i, and Xi and Yi are its coordinates. The resulting point is a weighted geographical average.

The method is useful for screening locations and explaining the effect of demand concentration. It is not a final answer. It normally ignores road quality, terrain, congestion, customs borders, port access, labour availability, land price, taxes, facility capacity, and service-time requirements. Distances should ideally be replaced or supplemented by actual transport costs and travel times.

For example, if three markets have annual demand of 1,000, 2,000, and 3,000 tonnes, the estimated location will lie closer to the third market. If the third market is across a border or separated by a mountain range, however, the mathematical point may be commercially unsuitable. Centre-of-gravity should therefore be treated as a starting hypothesis that must be tested against real operating conditions.

Network optimization

A network optimization model selects facilities and assigns flows while satisfying demand, capacity, service, regulatory, and policy constraints. A basic mixed-integer formulation may use:

• a binary variable indicating whether facility j is opened;
• a flow variable representing the quantity shipped from facility j to market i;
• facility opening and operating costs;
• transport, duty, handling, and inventory costs;
• capacity limits and minimum service requirements.

The objective is commonly to minimize total cost:

Minimize fixed facility cost + processing cost + transport cost + inventory cost + trade cost + penalty or risk cost

subject to demand satisfaction, facility capacity, flow conservation, permitted product-facility links, and service constraints. Binary decisions make the problem computationally more difficult, particularly when multiple products, periods, transport modes, and scenarios are included. Commercial solvers, specialized supply-chain software, and optimization libraries can address many practical cases, but model quality depends on data quality and assumptions.

Optimization does not eliminate managerial judgment. A mathematically optimal result may depend on unreliable forecasts, omit political risk, or assume capacity that is not contractually available. Managers should inspect sensitivity, challenge the data, and compare the result with operational experience.

Inventory Positioning and Postponement

Inventory positioning determines where stock is held in the network and in what form. Global networks must balance three competing aims: product availability, low inventory investment, and rapid response. Holding inventory near customers improves response but duplicates safety stock. Holding inventory centrally creates risk pooling and may reduce total stock, but increases delivery distance and dependence on a central node.

Safety stock is influenced by demand variability, replenishment lead-time variability, desired service level, order frequency, and the degree to which demand streams are pooled. The risk-pooling effect is strongest when demands are not perfectly correlated. It can be weakened by regional product differences, customs barriers, long inland lead times, and allocation rules that reserve stock for particular markets.

Postponement

Postponement delays the final form, configuration, packaging, labelling, or market allocation of a product until demand is clearer. A manufacturer may ship generic units to a regional facility and apply country-specific labels, plugs, software, or packaging close to the customer. This reduces the number of finished-stock variants and can lower obsolescence.

Postponement requires suitable product architecture, reliable information, flexible processes, quality controls, and a facility capable of late-stage operations. It is less appropriate when final customization is slow, highly regulated, technically complex, or uneconomical at the distribution stage. Customs treatment must also be examined: processing in a free zone or bonded facility may have different duty consequences from processing in the domestic customs territory.

A useful design question is not simply “Where should inventory be stored?” but “At what stage should value be added, and where should product identity be finalized?” This links network design to sourcing, production, packaging, information systems, and customer-order processes.

Designing Ports, Gateways, and Distribution Centres

Gateway evaluation should begin with the cargo profile. Bulk commodities, refrigerated food, high-value electronics, dangerous goods, pharmaceuticals, and e-commerce parcels have different requirements. Relevant criteria include:

• total door-to-door cost rather than port-to-port freight alone;
• sailing or flight frequency and schedule reliability;
• inland transport time and modal alternatives;
• customs clearance, inspection, and documentation performance;
• congestion, dwell time, and terminal capacity;
• availability of empty equipment and specialised handling;
• security, loss history, and regulatory controls;
• carbon intensity and environmental requirements;
• resilience to labour disputes, weather, cyber incidents, and geopolitical disruption.

A port with a lower ocean rate may be inferior if it requires expensive drayage, has frequent congestion, or lacks reliable rail. Gateway design should also account for the “last mile” within the importing country. A network may use multiple gateways even when one gateway has the lowest average cost, because diversification reduces disruption exposure and improves access to distant markets.

Distribution-centre design includes the facility’s role, scale, technology, labour model, operating hours, and connection to transport services. A fulfilment centre optimized for individual e-commerce orders differs from a pallet-oriented regional DC. Cross-docking can reduce storage and handling when inbound and outbound schedules are synchronized, but it is vulnerable to variability and requires accurate information.

Scenario Analysis and Resilience

International networks operate under uncertainty. Demand may shift, tariffs may change, carriers may withdraw services, ports may close, and border procedures may tighten. Scenario analysis evaluates how candidate networks perform under alternative conditions rather than relying only on one forecast.

A scenario may vary demand, freight rates, exchange rates, tariff levels, lead times, capacity, facility availability, or disruption duration. Useful scenarios include:

1. a base forecast;

2. a high-demand or market-expansion case;

3. a tariff or trade-policy change;

4. a gateway closure or severe congestion case;

5. a fuel-price or carbon-cost increase;

6. a supplier or production interruption.

The analyst should compare total cost, service level, inventory exposure, emissions, recovery time, and required managerial action. Sensitivity analysis changes one assumption or a small group of assumptions to identify thresholds. For instance, a second DC may become economically justified when annual demand exceeds a specific level or when the primary gateway’s delay probability rises above a particular threshold.

Resilience is not identical to redundancy. Redundancy creates spare capacity or alternative routes, while resilience also involves visibility, flexible contracts, standardised processes, supplier collaboration, and rapid recovery. A dual-gateway design may cost more in normal conditions but protect critical customers from a single point of failure. The appropriate level of resilience depends on product criticality, customer commitments, regulatory obligations, and the financial impact of disruption.

An Illustrative Applied Case: Northstar Medical Devices

Background

Northstar Medical Devices, a fictional European manufacturer, produces diagnostic equipment in Malaysia and sells to hospitals in Germany, Poland, France, and the Czech Republic. The company currently ships finished, country-specific units through one major seaport to a warehouse in Germany. Demand has grown, delivery performance has deteriorated, and several product variants have become obsolete when national labelling or software requirements change.

Situation and problem

Northstar is considering three alternatives:

• retain one German DC supplied through the existing seaport;
• open a second regional DC in Poland and divide European demand;
• use a central European free-zone facility where generic units are stored and country-specific labelling and software configuration are postponed.

The second alternative improves proximity to eastern markets but duplicates safety stock and adds facility cost. The third may reduce finished-goods obsolescence and defer certain duties, but requires compliant late-stage processing, stronger systems, and specialist labour.

Analysis

The design team first mapped annual demand, customer service requirements, product values, customs classifications, transport lanes, and regulatory lead times. A centre-of-gravity calculation placed a preliminary facility point near the Czech-German border, but this was rejected as a final recommendation because land availability, customs treatment, and airfreight access were weaker than at candidate sites near established logistics corridors.

The team then developed a total landed cost model. It included ocean freight, port handling, inland transport, facility costs, inventory carrying cost, duties, configuration labour, information-system expenditure, and the expected cost of delayed hospital deliveries. The model showed that the single-DC design had the lowest fixed cost but the highest average delivery distance and concentrated disruption risk. The two-DC design achieved faster eastern deliveries but required additional safety stock. The postponement design had moderately higher processing cost but reduced finished-variant inventory and obsolescence.

Scenario testing produced a more nuanced result. Under stable demand and low disruption, the postponement facility had the lowest expected total cost. Under a sharp increase in eastern European demand, the two-DC option provided better service. Under a closure of the principal seaport, the single-DC design performed poorly, while the postponement design could use an alternative gateway because generic stock was held in a flexible regional location.

Approach and solution

Northstar selected a phased postponement strategy. It retained one primary European facility but converted part of it into a controlled late-stage configuration operation. It contracted an alternative gateway, established minimum capacity commitments with inland carriers, and created rules for when selected eastern-market products would be pre-positioned. A contingency agreement with a Polish third-party logistics provider was included rather than immediately building a permanent second DC.

The implementation plan required validated labelling procedures, segregation of customs-status inventory, electronic records, staff training, and audits. Performance indicators included order cycle time, finished-goods obsolescence, customs-document accuracy, inventory turns, emergency shipments, and recovery time after a disruption.

Outcome

In the illustrative case, the phased design reduced dependence on one gateway, limited duplication of finished variants, and preserved the option to add a permanent eastern DC if demand crossed the agreed threshold. It did not eliminate cost or complexity; instead, it shifted the network toward flexibility and postponement while retaining an economically justified central structure.

Learning points

The case demonstrates five principles. First, a geographical average is not a location decision. Second, landed cost must include duties, inventory, service, and risk. Third, postponement can substitute process flexibility for physical inventory duplication. Fourth, a contingent facility arrangement may be preferable to immediate capital investment. Finally, network design is a staged managerial decision that should be revisited as demand, regulations, and capacity change.

Governance, Compliance, and Professional Responsibility

Network design has direct regulatory consequences. Facility and route choices affect customs valuation, tariff classification, rules of origin, bonded-storage permissions, export controls, sanctions screening, product safety, dangerous-goods handling, data protection, and record retention. A cost model that assumes duty suspension without verifying legal eligibility is not a valid business case.

Incoterms clarify the allocation of transport tasks, costs, and risk between buyer and seller, but they do not by themselves determine customs ownership, title transfer, or tax liability in every jurisdiction. Network designers should involve customs specialists, tax advisers, legal counsel, and compliance teams before implementation.

Ethical responsibilities include accurate declarations, avoidance of deliberate misclassification, fair treatment of logistics workers, responsible subcontracting, and transparent reporting of environmental performance. A network should not achieve a low apparent cost by transferring unsafe work, excessive emissions, or regulatory risk to less visible participants. Governance should define decision rights, audit trails, data ownership, model assumptions, and approval thresholds.

Digital Tools, Analytics, and AI

Modern network design depends on integrated data from enterprise resource planning systems, transportation-management systems, warehouse systems, customs platforms, carrier portals, and external sources. Geographic information systems can display demand, routes, congestion, infrastructure, and facility candidates. Digital twins can simulate flows and capacity under alternative network structures.

Predictive analytics can improve demand forecasts, port-delay estimates, inventory policies, and disruption alerts. Optimization engines can evaluate thousands of facility and routing combinations. Machine-learning models may identify patterns in dwell time or delivery failure, but they require governance. Biased or incomplete historical data can produce systematically poor recommendations, while opaque models may make it difficult to explain why a facility or route was selected.

Technology should support, not replace, professional judgment. Data definitions must be standardized; master data for locations, products, units of measure, tariff codes, and customers must be controlled. Cybersecurity is essential because a compromised logistics platform can disrupt cargo release, inventory records, and transport execution. Scenario models should include data confidence levels and should be recalibrated after major changes.

Challenges and Common Design Errors

Several errors recur in international network projects. The first is optimizing freight cost while ignoring inventory and customs costs. The second is selecting a facility from a map without validating land, labour, infrastructure, and regulatory conditions. The third is using average demand and average lead time when peak-season capacity and variability determine service performance.

Other errors include counting recoverable taxes as permanent costs, double-counting fixed costs, assuming contracted capacity is always available, ignoring empty-container repositioning, and treating a free zone as automatically advantageous. Designers may also over-centralize inventory to reduce stock while creating unacceptable response times, or over-fragment facilities because managers prefer local control.

Implementation failure often arises from insufficient change management. A new network changes transport contracts, customs procedures, warehouse roles, planning parameters, customer promises, and performance incentives. A sound design therefore requires a transition plan, pilot operations, parallel testing, contingency stock, stakeholder communication, and post-implementation review.

Best-Practice Design Sequence

A disciplined design process normally follows these stages:

1. Define strategic objectives, service commitments, regulatory boundaries, and the planning horizon.

2. Establish a reliable data baseline for demand, flows, costs, capacities, lead times, duties, and emissions.

3. Segment products and customers by value, urgency, variability, regulatory sensitivity, and required service.

4. Map existing nodes and flows, identifying bottlenecks and single points of failure.

5. Generate alternatives involving gateways, facilities, modes, inventory positions, and postponement points.

6. Use centre-of-gravity analysis for preliminary screening and optimization for integrated evaluation.

7. Calculate total landed cost, including relevant fixed, variable, inventory, compliance, service, and risk costs.

8. Test scenarios and sensitivities, including demand growth, disruption, tariffs, and capacity changes.

9. Evaluate qualitative factors such as management complexity, workforce capability, sustainability, and strategic flexibility.

10. Implement in stages with governance, performance measures, and periodic redesign triggers.

The strongest designs are not necessarily those with the smallest modeled cost. They are designs whose assumptions are credible, whose trade-offs are understood, and whose structure remains useful when conditions change.

Current Developments and Emerging Directions

Several developments are reshaping network design. E-commerce is increasing the importance of parcel gateways, urban fulfilment, returns networks, and inventory visibility. Nearshoring and regionalization are encouraging firms to reconsider long global production chains, although regional production may increase unit cost. Carbon pricing, customer disclosure requirements, and emissions accounting are making environmental impact a more explicit network criterion.

Geopolitical fragmentation is encouraging multi-gateway strategies, supplier diversification, and greater attention to sanctions and export controls. Automation is changing the economics of highly productive distribution centres, while flexible robotics may make postponement and smaller facilities more viable. More firms are also using control towers and real-time visibility to manage networks dynamically rather than treating design as an infrequent capital-planning exercise.

These trends do not invalidate traditional cost analysis. They expand the definition of performance. Future network decisions will increasingly balance landed cost, resilience, emissions, compliance, speed, and the ability to reconfigure operations.

Chapter Summary

Global logistics network design establishes the physical and operational structure through which international goods flow. It requires integrated decisions about ports, gateways, distribution centres, free zones, inland hubs, inventory locations, transport modes, and postponement points. Total landed cost is the principal economic framework, but it must include transport, duties, handling, inventory, compliance, service consequences, and relevant risk.

The centre-of-gravity method provides a useful preliminary location estimate, while network optimization evaluates facilities and flows under capacity, demand, service, and regulatory constraints. Inventory positioning balances response time against stock investment, and postponement delays final product differentiation until demand and market requirements are clearer. Scenario analysis tests whether a design remains effective under disruption, tariff changes, demand growth, or capacity constraints.

Effective design combines quantitative models with professional judgment, regulatory review, technology governance, and phased implementation. The best network is not simply the cheapest in a single forecast; it is economically sound, service-capable, compliant, resilient, and adaptable.

Key Terms

Total landed cost: The complete cost of delivering a product to its destination, including transport, duties, handling, inventory, and related costs.

Gateway: A major international entry or exit point connecting global transport services with an inland market.

Distribution centre: A facility that receives, stores, processes, consolidates, and dispatches products.

Free zone: A designated area receiving special customs treatment for storage, processing, or re-export.

Dry port: An inland facility providing port-related services such as container handling and customs processing.

Centre of gravity: A weighted geographical estimate of a facility location based on demand or shipment volumes.

Network optimization: The analytical selection of facilities and flows that best satisfies objectives and constraints.

Inventory positioning: The decision about where and in what form inventory is held in a supply network.

Risk pooling: The reduction of aggregate safety stock achieved by combining variable demand streams.

Postponement: Delaying final product configuration or market differentiation until demand is more certain.

Cross-docking: Moving inbound goods to outbound transport with little or no storage.

Safety stock: Inventory held to protect against demand or replenishment uncertainty.

Expected disruption cost: The probability-weighted financial effect of possible interruptions.

Scenario analysis: Evaluation of network performance under alternative future conditions.

Sensitivity analysis: Testing how results change when selected assumptions are varied.

Trade-off: A situation in which improving one objective worsens another.

Gateway diversification: Use of multiple international entry points to reduce dependence on one gateway.

Customs compliance: Conformity with laws governing classification, valuation, origin, documentation, and control of goods.

Digital twin: A data-based simulation representation of a physical logistics system.

Control tower: A coordinated information and decision platform providing network visibility and intervention.

Review Questions

Short Answer Questions

1. What distinguishes global logistics network design from daily logistics planning?

2. Identify four costs that may be included in total landed cost beyond international freight.

3. Why is centre-of-gravity analysis not sufficient for final facility selection?

4. What is the principal purpose of postponement?

5. How does gateway diversification contribute to resilience?

Long Answer Questions

1. Explain the components and managerial use of total landed cost in international network design.

2. Discuss the roles of ports, gateways, distribution centres, free zones, and dry ports in a global network.

3. Describe how a network optimization model can combine facility, flow, capacity, service, and regulatory decisions.

4. Analyze the relationship between inventory positioning, risk pooling, customer service, and postponement.

5. Explain how scenario analysis should be used to evaluate a proposed global logistics network.

Analytical / Application Questions

1. A company is choosing between one central DC and two regional DCs. Design an evaluation framework that includes transport, inventory, service, disruption, and facility costs.

2. A centre-of-gravity calculation identifies a location across a national border with weak infrastructure. Explain how you would screen alternatives and decide whether to reject the calculated point.

3. A free-zone postponement facility reduces duties and obsolescence but increases handling and compliance complexity. Recommend the data, scenarios, and governance controls needed before implementation.

22. Multiple Choice Questions with Answers

Question 1

Which statement best describes total landed cost in global logistics network design?

A. It is limited to the ocean or air freight rate paid to the destination gateway.

B. It includes all relevant costs of making the product available at its destination, including duties, inland transport, inventory, and handling.

C. It includes only variable costs because fixed facility costs cannot affect network decisions.

D. It excludes service failures because they cannot be estimated financially.

Correct Answer: B. It includes all relevant costs of making the product available at its destination, including duties, inland transport, inventory, and handling.

Question 2

What is the primary use of the centre-of-gravity method?

A. To provide an initial geographical screening estimate for a facility location.

B. To calculate customs duties for a shipment.

C. To determine the legal ownership of inventory.

D. To guarantee the lowest-cost facility site.

Correct Answer: A. To provide an initial geographical screening estimate for a facility location.

Question 3

A company uses generic products at a regional facility and adds country-specific labels only after receiving market orders. This is an example of:

A. Gateway diversification.

B. Cross-docking.

C. Postponement.

D. Demand pooling.

Correct Answer: C. Postponement.

Question 4

Which factor most clearly explains why a port with a lower ocean freight rate may not be the best gateway?

A. The port may have no relationship with inventory policy.

B. The port may create higher inland, congestion, handling, or delay costs.

C. Ocean freight rates are never relevant to network design.

D. A lower freight rate always indicates lower total landed cost.

Correct Answer: B. The port may create higher inland, congestion, handling, or delay costs.

Question 5

What is the principal benefit of risk pooling in inventory positioning?

A. It eliminates all demand variability.

B. It can reduce aggregate safety stock by combining demand streams.

C. It guarantees faster delivery to every customer.

D. It removes the need for customs compliance.

Correct Answer: B. It can reduce aggregate safety stock by combining demand streams.

Question 6

Which constraint would normally be appropriate in a network optimization model?

A. All facilities must be located at the centre of gravity.

B. Every customer must be served by air freight.

C. Facility throughput cannot exceed available capacity.

D. Inventory carrying cost must be ignored.

Correct Answer: C. Facility throughput cannot exceed available capacity.

Question 7

A firm keeps one gateway because it has the lowest normal cost, but a closure would stop all imports. Which design response most directly addresses this weakness?

A. Increase dependence on the same gateway.

B. Use gateway diversification and evaluate its additional cost against disruption exposure.

C. Eliminate safety stock at all facilities.

D. Replace all distribution centres with suppliers.

Correct Answer: B. Use gateway diversification and evaluate its additional cost against disruption exposure.

Question 8

Why should a free-zone proposal be reviewed by customs and tax specialists before approval?

A. Free zones automatically remove every legal requirement.

B. Free-zone benefits and processing permissions depend on applicable laws and compliance conditions.

C. Customs rules apply only to domestic warehouses.

D. Tax treatment has no effect on landed cost.

Correct Answer: B. Free-zone benefits and processing permissions depend on applicable laws and compliance conditions.

Question 9

Which situation is most appropriate for scenario analysis?

A. Comparing network performance under demand growth, tariff changes, and gateway disruption.

B. Recording the weight of one shipment after delivery.

C. Printing a standard warehouse label.

D. Selecting a product barcode without considering flows.

Correct Answer: A. Comparing network performance under demand growth, tariff changes, and gateway disruption.

Question 10

In the Northstar illustrative case, why was a phased postponement strategy preferred?

A. It removed the need for any distribution facility.

B. It balanced flexibility, reduced finished-variant exposure, and preserved the option to expand later.

C. It guaranteed that eastern demand would never increase.

D. It made regulatory controls unnecessary.

Correct Answer: B. It balanced flexibility, reduced finished-variant exposure, and preserved the option to expand later.