5. Transportation Planning and Capacity Management

Introduction and Context

Transportation is the movement function that connects suppliers, production facilities, distribution centres, retailers, and final customers. In logistics, however, transportation is not merely an execution activity. It is a planning problem involving demand uncertainty, network design, service commitments, equipment availability, cost trade-offs, regulatory requirements, and operational risk. A transport plan determines how much capacity will be required, when and where it will be needed, which modes and carriers should be used, how shipments should be combined, and which activities should be performed internally or purchased from logistics service providers.

Transportation planning operates at three interrelated levels. Strategic planning addresses long-term choices such as fleet ownership, carrier portfolio, modal structure, distribution network configuration, and outsourcing policy. Tactical planning converts expected demand into contracts, capacity reservations, routing guides, consolidation policies, and budgets. Operational planning translates confirmed orders into daily loads, routes, schedules, dispatch instructions, and exception responses. Weakness at any one level can undermine the others. For example, an organization may negotiate attractive freight rates but still experience poor service because it has not reserved capacity for seasonal peaks or has inadequate load-planning processes.

Capacity management is the discipline of matching available transport resources with shipment requirements over time. Capacity includes vehicles, driver hours, terminal handling capability, containers, loading docks, rail slots, air cargo space, and carrier availability. The central managerial challenge is that capacity is often perishable: an unused truck departure, vessel slot, or aircraft position cannot normally be stored for later use. At the same time, excessive reserved capacity creates cost and utilization problems. Effective planning therefore balances cost, service, flexibility, resilience, and risk rather than pursuing the lowest freight rate alone.

Learning Objectives

After studying this chapter, students should be able to:

1. Distinguish strategic, tactical, and operational transportation planning.

2. Explain the relationship between demand forecasting, shipment characteristics, and capacity requirements.

3. Apply shipment consolidation, mode selection, carrier selection, load-planning, and capacity-reservation principles.

4. Evaluate make-or-buy decisions using total cost, service, risk, and strategic considerations.

5. Interpret transportation performance measures and recognize common planning failures.

6. Assess the contribution of digital systems, analytics, automation, and artificial intelligence to transport planning.

7. Recommend an integrated transport plan under uncertainty and justify managerial trade-offs.

The Planning Problem: From Demand to Transport Capacity

A transport plan begins with the characteristics of demand rather than with the availability of vehicles. Forecasts should identify expected volume, weight, cube, origin–destination pairs, shipment frequency, delivery windows, product characteristics, and variability. A forecast of 10,000 units is insufficient if the planner does not know whether those units occupy 20 full truckloads, 100 partial loads, or 500 parcels.

A useful capacity calculation distinguishes between theoretical, practical, and effective capacity. Theoretical capacity is the maximum resource capability under ideal conditions. Practical capacity deducts expected losses such as maintenance, driver regulations, loading time, repositioning, and terminal congestion. Effective capacity also considers service commitments, equipment compatibility, and operational disruptions. If a truck can theoretically operate 20 hours per day, it may provide only 14 productive transport hours after legally required rest, loading, unloading, and waiting time are considered.

A simplified capacity requirement can be expressed as:

Required capacity = Forecast demand × shipment requirement per unit ÷ practical utilization

The shipment requirement may be measured in tonnes, cubic metres, pallet positions, vehicle trips, container slots, or transport hours. Utilization should not be assumed to be 100 percent because route imbalance, packaging inefficiency, time windows, and safety constraints create unused capacity. In practice, planners also add a risk buffer. The appropriate buffer depends on demand volatility, lead-time sensitivity, market capacity, and the cost of service failure.

Forecasting should combine historical data with commercial intelligence. Historical shipment records reveal seasonality, day-of-week patterns, lane volumes, and customer behaviour. Sales plans, promotions, product launches, weather information, economic indicators, and known customer events provide forward-looking information. A single forecast should not be treated as certainty. Scenario planning is more appropriate: a base case, a high-demand case, and a low-demand case can be translated into different capacity commitments.

Forecast accuracy should be evaluated at the level at which transport decisions are made. A national forecast may be accurate while individual lanes remain highly variable. Common measures include mean absolute deviation, mean absolute percentage error, forecast bias, and forecast value added. Bias is particularly important: systematic underforecasting produces recurring capacity shortages, while systematic overforecasting produces unnecessary reservations and low asset utilization.

Three Horizons of Transportation Planning

Strategic design

Strategic decisions usually cover several years. They include the location and role of distribution centres, fleet ownership, modal architecture, preferred-carrier strategy, use of dedicated transport, and the degree of outsourcing. Strategic planning asks whether the transport network is structurally capable of meeting the organization’s service promise. It also considers carbon objectives, labour availability, infrastructure development, geopolitical risk, and regulatory change.

Strategic decisions are difficult to reverse. Purchasing a fleet, establishing a private terminal, or entering a long-term dedicated contract may reduce unit cost but can limit flexibility if demand or network design changes. Consequently, strategic analysis should use total landed cost and scenario-based investment appraisal rather than current freight rates alone.

Tactical planning

Tactical planning normally covers months to approximately one year. It converts the strategic design into carrier contracts, rate structures, minimum-volume commitments, seasonal reservations, routing guides, shipment calendars, and mode allocations. Tactical planners decide how much capacity to secure in advance and how much to leave for the spot market.

A portfolio approach is often superior to dependence on one carrier or one procurement mechanism. Contracted capacity provides stability and predictable pricing, whereas spot-market capacity provides flexibility but exposes the organization to price and availability volatility. The appropriate mix depends on forecast confidence, service criticality, market depth, and the cost of disruption.

Operational planning

Operational planning covers the daily or weekly execution horizon. It includes order grouping, carrier assignment, route sequencing, dock appointments, load building, dispatching, tracking, and exception management. Operational decisions are constrained by equipment type, driver hours, delivery windows, vehicle dimensions, compatibility rules, and customer priorities.

Operational planning should not be isolated from tactical decisions. Repeated daily failures—such as rejected loads, low cube utilization, or missed appointments—may indicate a flawed carrier contract, unrealistic delivery promise, poor packaging, or insufficient reserved capacity rather than merely poor dispatching.

Shipment Consolidation and Load Planning

Shipment consolidation combines compatible shipments to improve vehicle utilization and reduce the number of trips. Consolidation may be temporal, geographical, modal, or organizational. Temporal consolidation holds orders for a planned dispatch cycle; geographical consolidation combines shipments moving toward similar destinations; modal consolidation combines freight into a larger unit before transfer to a lower-cost mode; organizational consolidation pools freight from multiple business units or shippers.

The principal benefit is lower cost per unit and lower emissions through improved utilization. The principal risk is delay. Holding a shipment to create a fuller load can reduce transportation cost but increase inventory and customer lead time. The decision should therefore compare the marginal cost of dispatching an incomplete load with the cost of waiting, including stockout risk, lost sales, production disruption, and service penalties.

Load planning involves both weight and cube. A vehicle may reach its legal weight limit before its volume is filled, or may become cube-constrained while substantial weight capacity remains. Other constraints include axle distribution, hazardous-material segregation, product compatibility, load stability, temperature requirements, unloading sequence, and delivery time windows. A mathematically full load may be operationally infeasible if the first delivery is buried behind later deliveries.

Load-building software commonly uses heuristics or optimization models. A basic process is to group orders by destination and delivery window, classify compatible products, select an appropriate vehicle, place heavy and stable items correctly, sequence stops, and verify legal and operational constraints. Advanced systems may solve variants of the vehicle-routing, bin-packing, and pickup-and-delivery problems. Exact optimization is valuable for smaller or highly structured problems, while heuristic methods are often preferred when decisions must be recalculated rapidly as orders and disruptions change.

Cross-docking can strengthen consolidation by transferring inbound freight directly to outbound vehicles with minimal storage. It is effective when inbound schedules are reliable, shipment information is accurate, and volumes are sufficiently synchronized. It becomes fragile when suppliers are late, labels are inaccurate, or outbound demand is highly uncertain.

Selecting Transport Modes and Carriers

Mode selection is a trade-off among cost, speed, reliability, accessibility, flexibility, capacity, security, and environmental impact. Road transport offers extensive network access and flexible scheduling, but may be affected by congestion, driver shortages, fuel prices, and emissions regulation. Rail can provide economical long-distance movement for suitable commodities, although it generally requires terminal access and may offer less door-to-door flexibility. Water transport is attractive for large volumes and low unit cost but usually has longer transit times. Air transport provides speed and global reach at high cost and with limited capacity. Pipelines are highly reliable for compatible liquids and gases but lack commodity flexibility.

Intermodal transportation combines modes under an integrated movement plan. It can reduce cost and emissions while preserving reasonable service, but requires coordinated terminals, information exchange, equipment compatibility, and schedule reliability. The correct question is not which mode is cheapest in isolation, but which mode delivers the required service at the lowest relevant total cost.

Carrier selection should use a weighted evaluation rather than rate alone. Criteria may include:

• total freight cost and accessorial charges;
• on-time pickup and delivery performance;
• claims frequency, loss, and damage history;
• available capacity and geographic coverage;
• financial stability and business continuity capability;
• safety, regulatory, and insurance performance;
• information-system integration and shipment visibility;
• labour, environmental, and ethical practices.

A carrier scorecard should distinguish controllable performance from external events and should use lane-level data where possible. Procurement teams should also examine contract terms concerning fuel adjustments, detention, cancellation, peak-season surcharges, liability, data sharing, service credits, and force majeure. A low base rate may be misleading if accessorial charges, poor reliability, and administrative effort are high.

Capacity Reservation Under Uncertainty

Capacity reservation is a commitment to obtain transport capability before all actual shipments are known. It may involve dedicated vehicles, guaranteed carrier allotments, vessel or rail bookings, minimum-volume contracts, or reserved warehouse and dock slots. Reservation reduces the risk of shortage but creates an obligation that may be underutilized.

The decision can be analysed using the economics of uncertainty. Suppose the cost of reserving one unit of capacity is Cᵣ, the cost of obtaining emergency capacity is Cₑ, and the cost of unused reserved capacity is Cᵤ. Reservation is attractive when the expected shortage cost avoided—considering emergency freight, lost sales, penalties, and operational disruption—exceeds the reservation and underutilization costs.

In practice, organizations use several mechanisms:

1. Fixed reservation: a predetermined quantity is secured for a period. It provides strong assurance but may create take-or-pay exposure.

2. Flexible reservation: a base quantity is guaranteed with options to increase or decrease within agreed limits.

3. Capacity bands: the carrier commits to a range rather than an exact volume.

4. Priority access: the shipper receives preferential access during constrained periods without paying for all capacity in advance.

5. Multi-carrier portfolio: volume is distributed among primary, secondary, and contingency carriers.

The best arrangement often combines these mechanisms. Critical flows may receive dedicated or guaranteed capacity, while predictable low-risk flows can use transactional procurement. A capacity plan should include trigger points: for example, when forecast demand exceeds a threshold, when carrier acceptance rates fall, or when lead-time variability increases, additional capacity is activated.

Make-or-Buy Decisions in Transportation

The make-or-buy decision concerns whether transportation should be performed with owned or leased assets, managed through a dedicated contract, or purchased from common carriers and third-party logistics providers. Ownership may offer control, availability, specialized capability, and better protection for critical operations. Outsourcing may offer scale economies, access to expertise, flexibility, and reduced capital investment.

A valid comparison must use total cost. For an owned fleet, this includes vehicle acquisition or leasing, depreciation, financing, insurance, maintenance, tyres, fuel, driver wages and benefits, recruitment, training, compliance, dispatching, empty mileage, administrative overhead, and residual value. For outsourced transport, it includes line-haul rates, fuel adjustments, accessorial charges, tendering and management costs, integration costs, transition expenses, and the expected cost of service failure.

Financial analysis can use break-even volume:

Break-even volume = Fixed cost of internal operation ÷ (external unit cost − internal variable cost per unit)

This formula is useful but incomplete. Qualitative factors include control over customer experience, data ownership, labour relations, safety culture, resilience, scalability, and the organization’s strategic competence. A hybrid model is common: a core private fleet handles stable, service-critical routes, while external carriers absorb seasonal peaks, irregular lanes, and specialized requirements.

The decision should also consider asset specificity. If vehicles require unique temperature, security, or handling features, outsourcing may be difficult or may require a premium. Conversely, standard dry-van movements in a deep carrier market are often suitable for outsourcing. Governance is essential in either model; outsourcing does not transfer accountability for legal compliance, ethical conduct, safety, or customer service.

Performance Measures and Control

Transportation plans require measures that connect cost, service, capacity, and sustainability. Important indicators include:

• cost per shipment, pallet, tonne, kilometre, or order;
• vehicle fill rate by weight and cube;
• empty-kilometre percentage;
• tender acceptance rate;
• on-time pickup and delivery;
• transit-time variability;
• claims, damage, and loss frequency;
• capacity utilization and reservation utilization;
• dwell time and detention;
• forecast accuracy and bias;
• emissions per tonne-kilometre or shipment.

Metrics should be interpreted together. A high fill rate may result from delaying orders, while excellent on-time performance may have been achieved through expensive premium freight. Balanced control systems therefore examine cost, service, asset productivity, resilience, and environmental performance simultaneously. Measures should also be segmented by lane, customer, carrier, product, and season to reveal the source of variation.

Technology, Analytics, and Artificial Intelligence

Transportation management systems integrate orders, rates, carrier contracts, routing, tendering, tracking, freight audit, and performance reporting. They provide a common planning environment and can reduce manual communication. Telematics and connected vehicles provide location, engine, temperature, fuel, and driver-behaviour data. Electronic documentation can accelerate proof of delivery and reduce invoice disputes.

Analytics supports demand forecasting, capacity allocation, route optimization, dynamic ETAs, and detection of abnormal dwell or cost. Machine-learning models can identify patterns associated with late delivery, rejected tenders, or weather-related disruption. AI-enabled systems may recommend consolidation opportunities, predict capacity shortages, or generate alternative plans during disruptions. Human oversight remains necessary because models can reproduce historical bias, misinterpret unusual events, or optimize a local objective at the expense of customer service and network resilience.

Data governance is a prerequisite. Poor master data about addresses, dimensions, product compatibility, carrier calendars, or transit times can make an advanced optimization system produce unreliable recommendations. Organizations should define data ownership, access rights, cybersecurity controls, model-monitoring procedures, and escalation rules for automated decisions.

Risks, Governance, and Professional Judgement

Transportation planning is exposed to fuel-price volatility, extreme weather, labour shortages, infrastructure failures, cyberattacks, regulatory changes, geopolitical disruption, cargo theft, and carrier insolvency. Risk management should identify critical lanes, single points of failure, alternate modes, substitute carriers, emergency procedures, and communication responsibilities. Business-continuity plans should be tested rather than merely documented.

Regulatory and ethical obligations include vehicle and driver safety, hours-of-service compliance, weight and dimension limits, dangerous-goods rules, emissions requirements, fair labour practices, anti-bribery controls, data protection, and accurate freight documentation. Pressure to meet delivery targets must never justify unsafe loading, excessive driver hours, falsified records, or discriminatory carrier practices.

Common planning mistakes include relying on average demand instead of variability, measuring utilization without considering service, selecting carriers on price alone, reserving capacity without cancellation flexibility, ignoring accessorial charges, overlooking empty repositioning, and treating outsourced activity as someone else’s responsibility. Another frequent error is optimizing individual routes while creating congestion at docks or excessive inventory elsewhere in the network.

Illustrative Case: Capacity Planning for Meridian Home Systems

Background

Meridian Home Systems, a fictional manufacturer of appliances, supplies national retailers from two distribution centres. Its products vary considerably in weight and cube. Demand is stable for most of the year but rises sharply before a major holiday season. Meridian historically purchased transportation shipment by shipment.

Situation and problem

During the previous peak season, 14 percent of retailer deliveries arrived late. The company paid premium freight, experienced carrier tender rejections, and frequently shipped partially filled vehicles. Managers initially proposed awarding all peak volume to the lowest-rate carrier. However, analysis showed that the carrier had limited capacity in two important regions and weak performance during the same seasonal period.

Analysis

The planning team segmented demand by lane, product family, and delivery window. It found that some lanes were cube-constrained while others were weight-constrained. Forecast bias was consistently negative in the two weeks before the holiday period. The team calculated practical capacity rather than using theoretical vehicle capacity and identified a large amount of empty repositioning caused by unbalanced outbound flows.

Three scenarios were developed. In the base case, contracted carriers could cover normal demand. In the high-demand case, additional capacity was required for four weeks. In the disruption case, one major carrier would be unavailable. The team compared the cost of fixed reservations, flexible capacity bands, spot-market purchases, and a limited dedicated fleet.

Approach and solution

Meridian retained its existing primary carriers for stable lanes but introduced a multi-carrier portfolio. It reserved a base level of capacity with flexible upward options for the peak period and established a secondary-carrier panel for overflow. Shipments were consolidated by delivery region, while urgent retailer orders retained priority rules. Load-planning software considered cube, weight, delivery sequence, and product compatibility.

A small dedicated fleet was introduced for predictable, high-volume regional routes. Irregular and long-distance routes remained outsourced. Contracts included tender-response standards, accessorial-charge rules, data-sharing requirements, safety expectations, and contingency provisions. Forecasts were updated weekly during the peak period, and capacity triggers were linked to forecast volume, tender acceptance, and carrier lead-time indicators.

Outcome

The new design reduced dependence on emergency spot purchases and improved the visibility of capacity risk. Vehicle utilization increased on consolidated lanes, while service-critical orders received protected capacity. The organization accepted slightly higher planned transportation cost than the previous lowest-rate strategy, but reduced the total cost of late deliveries, premium freight, and retailer penalties.

Learning points

The case demonstrates that transport planning must combine demand analysis, practical capacity, consolidation, carrier portfolio design, and governance. A low rate is not equivalent to low total cost. Flexible reservations and scenario triggers can provide better protection than either complete commitment or complete reliance on the spot market. Finally, make-or-buy decisions should be lane-specific rather than applied uniformly across the network.

Current Developments and Best Practices

Several developments are reshaping transportation planning. Shippers are increasing the use of control towers that combine data from transport management systems, carriers, telematics, weather services, and customer platforms. Digital freight marketplaces are improving access to transactional capacity, although they do not eliminate the need for relationship management and performance governance. Alternative-fuel vehicles, electrification, renewable fuels, and low-carbon intermodal solutions are becoming relevant as organizations respond to emissions targets and regulation.

Resilient planning is also replacing narrow efficiency thinking. Firms are evaluating optionality, supplier and carrier diversification, regional inventory positioning, and the value of maintaining contingency capacity. Collaborative transportation—where compatible shippers share loads, routes, or capacity—can improve utilization but requires trust, data standards, commercial agreements, and rules for priority and liability.

Effective practice can be summarized as follows:

• plan from demand characteristics and variability, not volume totals alone;
• use strategic, tactical, and operational plans as an integrated hierarchy;
• reserve critical capacity while preserving flexibility for uncertain demand;
• evaluate carriers using total cost, service, risk, safety, and sustainability;
• optimize both weight and cube, including delivery sequence and legal constraints;
• compare make-or-buy alternatives using full lifecycle cost and strategic value;
• use scenario analysis and predefined escalation triggers;
• govern data, algorithms, contracts, and outsourced operations carefully;
• review performance by lane and root cause rather than relying only on network averages.

Chapter Summary

Transportation planning converts uncertain demand into decisions about modes, carriers, capacity, routes, loads, and ownership. Strategic planning establishes the network and sourcing architecture; tactical planning secures contracts, reservations, and mode allocations; operational planning builds and dispatches loads. Effective capacity management distinguishes theoretical from practical capacity and incorporates variability, service commitments, and risk buffers.

Shipment consolidation and load planning can reduce cost and emissions, but excessive waiting may harm service. Mode and carrier selection require evaluation of total cost, reliability, accessibility, risk, safety, and sustainability. Capacity reservations should balance shortage costs against underutilization and should often combine fixed commitments with flexible options and multiple carriers. Make-or-buy decisions require a full cost comparison and consideration of control, resilience, asset specificity, and strategic importance. Digital systems, analytics, and AI can improve visibility and optimization, provided that data quality, governance, cybersecurity, and human oversight are maintained. The most capable transport plan is not necessarily the cheapest plan; it is the plan that delivers the required service with an acceptable balance of cost, flexibility, resilience, and responsibility.

Key Terms

Capacity management: Coordinating available transport resources with shipment requirements over time.

Practical capacity: Usable capacity after deducting maintenance, legal, handling, repositioning, and operational losses.

Strategic transportation planning: Long-term design of networks, fleets, modes, carriers, and outsourcing arrangements.

Tactical transportation planning: Medium-term planning of contracts, capacity reservations, mode allocations, and routing policies.

Operational transportation planning: Short-term planning of loads, routes, schedules, dispatches, and exceptions.

Shipment consolidation: Combining compatible shipments to improve utilization and reduce transport cost.

Load planning: Assigning freight to vehicles while respecting weight, cube, compatibility, legal, and sequence constraints.

Cube constraint: A condition in which vehicle volume is exhausted before permitted weight is reached.

Weight constraint: A condition in which legal or vehicle weight capacity is reached before available volume is filled.

Intermodal transportation: Movement using two or more transport modes under an integrated plan.

Carrier portfolio: A deliberately structured combination of primary, secondary, and contingency carriers.

Capacity reservation: Advance commitment to obtain transport capability during a future period.

Flexible capacity: Reserved or contracted capacity that can be adjusted within agreed limits.

Make-or-buy decision: Choice between internal transport provision and purchasing transport services externally.

Empty kilometres: Distance travelled without revenue-generating or planned freight movement.

Tender acceptance rate: Percentage of shipment offers accepted by carriers.

Accessorial charge: Additional transport fee for services or conditions beyond the base movement.

Control tower: A coordinated digital and managerial capability for monitoring and responding to network activity.

Forecast bias: Systematic tendency of forecasts to be higher or lower than actual demand.

Total cost of transportation: All relevant internal and external costs associated with providing transport service.

Review Questions

Short Answer Questions

1. Distinguish strategic, tactical, and operational transportation planning.

2. Why is practical capacity more useful than theoretical vehicle capacity?

3. What is the main trade-off involved in shipment consolidation?

4. Identify four criteria, other than freight rate, used in carrier selection.

5. Explain the meaning of forecast bias in capacity planning.

Long Answer Questions

1. Explain how demand forecasting is converted into a transport capacity plan under uncertainty.

2. Discuss the major considerations in selecting among road, rail, water, air, and intermodal transport.

3. Describe the principal mechanisms for reserving transport capacity and explain when each may be appropriate.

4. Develop a framework for evaluating a make-or-buy transportation decision.

5. Explain how transportation management systems, analytics, and AI can support planning while creating governance challenges.

Analytical / Application Questions

1. A firm forecasts 1,200 pallets for a peak week. Its carriers can provide 1,000 pallets of guaranteed capacity, while emergency capacity costs 35 percent more and unused reserved capacity costs 20 percent of the reservation price. Design a reservation strategy and identify the additional information required before finalizing it.

2. A vehicle is 95 percent full by cube but only 72 percent full by weight. The route includes six deliveries, and the heaviest goods are needed at the final stop. Analyse the load-planning risks and recommend changes.

3. A company is considering replacing an owned fleet with an external carrier. Propose a decision model that includes financial cost, service, resilience, safety, environmental performance, and strategic control. Explain how you would test the recommendation under demand and capacity scenarios.

22. Multiple Choice Questions with Answers

Question 1

Which planning activity is primarily tactical in nature?

A. Choosing the long-term location of distribution centres

B. Assigning today’s orders to individual vehicles

C. Negotiating seasonal capacity reservations and carrier contracts

D. Redesigning product packaging for transport

Correct Answer: C. Negotiating seasonal capacity reservations and carrier contracts

Question 2

Why should transport planners avoid assuming 100 percent vehicle utilization?

A. Vehicles are legally prohibited from carrying full loads

B. Handling, route imbalance, time windows, and compatibility constraints reduce usable capacity

C. Carriers always charge for unused vehicle space

D. Forecasts are never needed for transport planning

Correct Answer: B. Handling, route imbalance, time windows, and compatibility constraints reduce usable capacity

Question 3

A shipment is cube-constrained when it:

A. Reaches its permitted volume before its permitted weight

B. Reaches its permitted weight before its available volume

C. Cannot be assigned to an intermodal route

D. Requires more than one carrier

Correct Answer: A. Reaches its permitted volume before its permitted weight

Question 4

What is the principal risk of excessive shipment consolidation?

A. Higher vehicle utilization

B. Lower emissions per unit

C. Longer customer lead times caused by waiting for a fuller load

D. Reduced administrative visibility

Correct Answer: C. Longer customer lead times caused by waiting for a fuller load

Question 5

Which criterion is least appropriate as the sole basis for carrier selection?

A. Base freight rate

B. Safety and regulatory performance

C. On-time delivery reliability

D. Capacity availability during peak periods

Correct Answer: A. Base freight rate

Question 6

A flexible capacity reservation is valuable because it:

A. Eliminates all transportation costs

B. Allows capacity commitments to vary within agreed limits

C. Guarantees that demand will equal forecast volume

D. Transfers all legal responsibility to the carrier

Correct Answer: B. Allows capacity commitments to vary within agreed limits

Question 7

Which situation most strongly supports a hybrid make-or-buy transportation model?

A. All routes have identical, stable demand

B. The firm requires dedicated service on core routes but faces seasonal and irregular demand elsewhere

C. No carriers operate in the relevant market

D. The organization wants to avoid measuring transport performance

Correct Answer: B. The firm requires dedicated service on core routes but faces seasonal and irregular demand elsewhere

Question 8

Why can a low carrier base rate fail to represent low total transportation cost?

A. Base rates are never included in contracts

B. Accessorial charges, poor reliability, claims, and premium freight may offset the rate advantage

C. Low rates always indicate excess capacity

D. Fuel prices have no effect on transportation cost

Correct Answer: B. Accessorial charges, poor reliability, claims, and premium freight may offset the rate advantage

Question 9

Which use of AI is most directly relevant to transportation capacity management?

A. Replacing all managerial judgement regardless of data quality

B. Predicting capacity shortages and recommending alternative load plans

C. Eliminating the need for regulatory compliance

D. Guaranteeing that every forecast is correct

Correct Answer: B. Predicting capacity shortages and recommending alternative load plans

Question 10

In the Meridian Home Systems case, why was a multi-carrier portfolio preferred to awarding all peak volume to the lowest-rate carrier?

A. It removed the need for forecasting

B. It balanced capacity assurance, flexibility, and disruption risk

C. It guaranteed that every vehicle would be full by weight

D. It made contracts unnecessary

Correct Answer: B. It balanced capacity assurance, flexibility, and disruption risk