Fleet Strategy, Sizing, and Asset Life-Cycle Management

Introduction

Fleet decisions determine how a supply chain converts transportation demand into service capacity. They influence cost, responsiveness, resilience, safety, emissions, working capital, and the organization’s ability to adapt to changing markets. A fleet is not simply a collection of vehicles. It is a portfolio of assets, contracts, capabilities, technologies, and operating policies designed to serve a defined transportation requirement.

Strategic fleet management therefore asks five connected questions:

1. How much transportation capacity is required?
2. What types and mix of assets are appropriate?
3. Which assets should be owned, leased, rented, outsourced, or supplied by a dedicated carrier?
4. When should assets be replaced or retired?
5. How should financial, operational, environmental, and strategic risks be evaluated over the asset life cycle?

A sound decision does not minimize purchase price alone. It evaluates total cost of ownership, utilization, service requirements, residual value, risk, capital constraints, and the option value of flexibility.

Learning Objectives

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

• translate transportation demand into fleet capacity requirements;
• determine fleet size while accounting for utilization, maintenance, variability, and service constraints;
• design an appropriate fleet composition;
• compare ownership, leasing, rental, outsourcing, and dedicated-carrier arrangements;
• calculate life-cycle cost and total cost of ownership;
• apply discounted cash-flow and equivalent annual cost methods;
• evaluate replacement timing and residual value;
• recognize governance, sustainability, technology, and implementation issues in fleet strategy.

1. Fleet Strategy as a Strategic Capability

Fleet strategy is the long-term alignment of transportation assets and sourcing arrangements with business strategy. It has both structural and operating dimensions. Structural decisions concern asset ownership, vehicle classes, depot locations, powertrain technology, and supplier relationships. Operating decisions concern dispatching, maintenance, driver staffing, routing, utilization, and replacement policy.

The correct fleet strategy depends on the characteristics of demand. A stable, high-volume, predictable network generally supports owned or dedicated capacity. A seasonal or uncertain network may benefit from rental, short-term leasing, brokered capacity, or a hybrid model. A specialized product may require dedicated equipment even when general-purpose outsourcing appears cheaper.

Important strategic criteria include:

• Service: delivery windows, geographic coverage, speed, reliability, and product protection.
• Economics: fixed cost, variable cost, capital requirements, residual value, and transaction costs.
• Flexibility: ability to respond to peaks, network redesign, or demand decline.
• Risk: fuel prices, regulation, labor availability, technology obsolescence, and supplier failure.
• Sustainability: emissions, energy use, noise, circularity, and environmental compliance.
• Capability: control over data, customer experience, safety, and specialized operations.

A fleet portfolio should be assessed as a system. A low-cost vehicle may be unsuitable if its payload, range, refrigeration capability, or availability does not meet the network requirement.

2. Converting Demand into Fleet Capacity

2.1 Demand measures and operating capacity

Fleet sizing begins with a demand profile rather than an average annual volume. Relevant measures include shipments per day, tonnes, pallets, cubic metres, route kilometres, stops, service windows, and peak-period demand. The limiting dimension may be weight, volume, loading positions, axle capacity, or time.

For a planning period, required vehicle-days can be estimated as:

where:

• V_d = vehicle-days required during the period;
• D = transportation demand expressed in compatible capacity-days;
• q = effective capacity supplied by one vehicle-day.

This simple relationship assumes homogeneous vehicles and stable operating conditions. In practice, effective capacity is reduced by empty running, loading inefficiency, maintenance, driver availability, legal restrictions, and service-time constraints.

If one vehicle is available for H_a hours per day and a route requires H_r hours, the theoretical number of routes per vehicle-day is H_a ÷ H_r. This value must be adjusted for loading, breaks, legal driving limits, depot delays, and variability.

2.2 Basic fleet-size equation

A practical fleet-size estimate is:

where:

• N = number of vehicles required;
• R = required productive vehicle capacity;
• A = availability proportion, between 0 and 1;
• U = utilization proportion of available capacity;
• S = service or operating efficiency factor;
• ⌈ ⌉ = rounding upward to the next whole vehicle.

The factors must be defined consistently. For example, availability may represent the proportion of the fleet not immobilized by maintenance, while utilization may represent the proportion of available time or payload actually used. Service efficiency may capture route imbalance, schedule restrictions, and dispatch losses. The formula is a planning approximation, not a substitute for route-level simulation.

If demand is measured in daily tonnes, a payload-based estimate can be written as:

where D_p is peak-period tonnes per day, Q is rated payload per vehicle, L is the number of productive loads per day, and the other variables have the meanings above. Units are tonnes per day in both numerator and denominator.

2.3 Peak demand and uncertainty

Sizing to average demand may produce unacceptable service failures during peaks; sizing entirely to the maximum may create excessive idle capacity. A useful policy separates base capacity from flexible capacity. Base capacity is provided by owned vehicles or long-term contracts. Peak capacity is supplied through rental, spot-market carriers, overtime, temporary labor, or a dedicated-carrier surge clause.

Demand uncertainty can be represented with scenarios rather than a single point estimate. For scenario s, the required fleet is N_s, and the probability is p_s. Expected fleet cost is:

where C_s is total cost under scenario s, p_s ≥ 0, and ∑ p_s = 1. Expected cost alone is insufficient when service failure has severe consequences; risk measures and service constraints should also be used.

A safety-capacity approach may use:

where μ_D is mean demand, σ_D is demand standard deviation, and z is a selected service factor. This assumes that the demand distribution and variability estimate are appropriate. It should not be used mechanically when demand is seasonal, highly skewed, or constrained by discrete vehicle loads.

2.4 Worked example: sizing a delivery fleet

A distributor must deliver 1,080 pallets during a peak five-day week. Each truck can carry 18 pallets and complete 2.5 productive loads per day under the planned route design. Availability is 0.92 and loading/route efficiency is 0.90. Assume utilization is already reflected in the productive-load estimate.

The capacity of one nominal truck over the week is:

18 × 2.5 × 5 = 225 pallets.

Effective capacity is:

225 × 0.92 × 0.90 = 186.3 pallets.

Therefore:

N = ⌈1,080 ÷ 186.3⌉ = ⌈5.80⌉ = 6 trucks.

The result should be tested against route feasibility. Six trucks provide approximately 6 × 186.3 = 1,117.8 effective pallet positions, leaving only 37.8 pallets of planning margin. If demand uncertainty or maintenance variability is high, a flexible seventh vehicle or contracted reserve may be economically justified.

3. Fleet Composition and Configuration

Fleet composition concerns the mix of vehicle sizes, body types, powertrains, and specialized equipment. A fleet with only one vehicle class may simplify maintenance but perform poorly across a heterogeneous network. A mixed fleet can match asset capability to route requirements but increases training, parts, scheduling, and administrative complexity.

Key design dimensions include:

• payload and cubic capacity;
• loading method and dock compatibility;
• operating range and refuelling or charging access;
• temperature control and product segregation;
• road restrictions, axle limits, and urban access;
• duty cycle, terrain, and climate;
• safety equipment and driver ergonomics;
• compatibility with telematics and warehouse systems.

The economically optimal fleet is often a portfolio. For example, rigid electric vehicles may serve predictable urban routes, diesel tractors may serve long-haul lanes, and rented vehicles may cover seasonal peaks. Vehicle selection should use route duty cycles rather than catalogue fuel-economy claims alone.

A useful governance practice is to define a standard fleet architecture: preferred vehicle classes, approved specifications, replacement criteria, technology standards, and exception-approval rules. Standardization reduces procurement and maintenance complexity, but excessive standardization can create underutilized capacity or force inappropriate equipment onto specialized routes.

4. Ownership and Capacity-Sourcing Options

4.1 Ownership

Owned assets provide control over availability, branding, operating procedures, data, and customer experience. They may be attractive when utilization is high and demand is stable. However, ownership requires capital, exposes the firm to residual-value risk, and leaves the firm responsible for maintenance, compliance, disposal, and technological obsolescence.

4.2 Finance lease

A finance lease generally provides long-term use with economic characteristics similar to financing an asset. The lessee may bear maintenance, residual-value, and utilization risks, depending on the contract and accounting treatment. It can reduce an immediate cash outlay but does not necessarily reduce economic cost.

4.3 Operating lease

An operating or full-service lease may transfer some maintenance, breakdown, and residual-value risks to the lessor. The price can include financing, administration, preventive maintenance, replacement vehicles, and profit margin. Contract details—mileage limits, damage charges, early termination, downtime replacement, and end-of-term conditions—are critical.

4.4 Short-term rental

Rental is flexible and useful for peaks, trials, emergencies, or uncertain demand. Its daily or monthly price is often high relative to long-term ownership, but its option value can be substantial because the firm avoids permanent capacity and disposal risk.

4.5 Outsourcing to common carriers

Outsourcing converts much fixed cost into a variable or transaction-based cost and gives access to specialized scale. It may reduce managerial burden and improve geographic reach. Risks include loss of control, carrier quality variation, capacity shortages, data limitations, subcontracting opacity, and misaligned incentives.

4.6 Dedicated carriers

A dedicated carrier operates capacity for one shipper under a longer-term arrangement. It can combine operational control with outsourced ownership and management. The shipper may obtain dedicated vehicles, drivers, management, and performance commitments without owning the assets. The arrangement requires careful treatment of volume risk, termination, indexation, asset transfer, labor compliance, and business continuity.

Comparison of capacity options

5. Life-Cycle Costing and Total Cost of Ownership

5.1 Cost categories

Life-cycle costing evaluates all relevant costs from acquisition through disposal. Total cost of ownership may include:

• acquisition price or lease payments;
• financing and opportunity cost of capital;
• taxes, registration, and insurance;
• fuel or electricity;
• tires, maintenance, repairs, and parts;
• driver and administrative costs;
• telematics, software, and compliance;
• downtime and substitute capacity;
• infrastructure such as chargers or workshops;
• accident, environmental, and end-of-life costs;
• disposal proceeds and residual value.

A common error is to compare a vehicle purchase price with a carrier rate. The comparison must be made on a common basis, such as cost per route, delivery, tonne-kilometre, or service day, while including equivalent service quality.

5.2 Undiscounted life-cycle cost

For an owned vehicle, an undiscounted estimate is:

where P is acquisition cost, F_t fuel or energy cost in year t, M_t maintenance and repair cost, I_t insurance, tax, and administrative cost, O_t other operating cost, RV_T residual value at year T, and T is the service life. All amounts must be expressed in the same currency and period basis.

This measure is useful for transparent comparison but ignores the time value of money.

5.3 Present-value life-cycle cost

With a constant discount rate r, present-value life-cycle cost is:

The rate should reflect the organization’s relevant opportunity cost or approved capital budgeting rate, consistent with the treatment of inflation and taxes. If future costs are stated in nominal terms, use a nominal discount rate; if costs are stated in real terms, use a real rate.

If annual cost A is constant and occurs at each year-end, its present value is:

for r ≠ 0. This annuity formula assumes equal end-of-period payments. Beginning-of-period payments require an annuity-due adjustment.

5.4 Equivalent annual cost

Options with different lives should not be compared using present value alone unless the planning horizon is common. Equivalent annual cost converts present value into a uniform annual amount:

EAC is appropriate when the asset is assumed to be replaceable under comparable conditions and the service output is equivalent. If replacement technology, demand, or prices are expected to change substantially, a finite-horizon or real-options analysis is preferable.

5.5 Worked ownership comparison

An owned vehicle costs 90,000 currency units, has a five-year life, annual operating and maintenance cost of 24,000, and an expected residual value of 25,000. The discount rate is 8 percent. A full-service lease costs 31,000 per year for five years and has no residual-value payment. Assume year-end payments and equal service output.

The present value of ownership is:

PVC_own = 90,000 + 24,000 × (1 − 1.08^(−5))/0.08 − 25,000/1.08⁵.

The five-year annuity factor at 8 percent is approximately 3.9927. Thus:

PVC_own ≈ 90,000 + 95,825 − 17,014 = 168,811.

The lease present value is:

PVC_lease = 31,000 × 3.9927 = 123,774.

On these assumptions, the lease has the lower present cost by approximately 45,037 currency units. This conclusion is conditional: the ownership estimate may omit insurance, downtime, taxes, workshop overhead, or financing effects, while the lease may include mileage limits, escalation, or end-of-term charges. A procurement decision must normalize the scope of included services.

6. Replacement Timing and Asset Life-Cycle Decisions

Replacement timing balances rising operating cost and declining reliability against the capital cost of a replacement asset. Keeping an old vehicle may avoid acquisition expenditure but increase fuel use, repairs, downtime, safety risk, and customer failures. Replacing too early may discard useful economic life and incur unfavorable residual-value loss.

A replacement analysis should track:

• age, mileage, and engine or battery condition;
• maintenance cost per kilometre and its trend;
• unplanned downtime and substitute-vehicle cost;
• fuel or energy efficiency;
• residual value and market liquidity;
• regulatory compliance;
• safety incidents and defect rates;
• technology and infrastructure compatibility.

For a repeated replacement decision, the minimum EAC across candidate lives is a useful benchmark. However, the technically lowest EAC may not be the best managerial choice if the organization values flexibility, reliability, or emissions reduction.

Replacement is also a real-options decision. Waiting preserves the option to learn about prices and technology, but exposes the firm to breakdown and regulatory risk. Buying now secures capacity and may capture incentives, but risks technological obsolescence. Scenario analysis should therefore include fuel prices, utilization, residual values, reliability, carbon costs, and policy changes.

7. Capital Budgeting, Risk, and Decision Governance

Fleet investment proposals should identify incremental cash flows, not accounting allocations that do not change because of the decision. Relevant cash flows include purchase payments, taxes, operating costs, salvage value, infrastructure, working capital, and avoided outsourcing costs. Sunk costs should be excluded unless they create avoidable future cash flows.

A project is financially attractive relative to an alternative when its incremental net present value is positive:

where CF_t is the incremental cash flow at time t, CF₀ usually includes the initial investment, and r is the appropriate discount rate. The decision rule is to accept an independent project when NPV > 0, subject to capital constraints and strategic requirements.

Sensitivity analysis changes one assumption at a time, such as annual mileage or fuel price. Scenario analysis changes a coherent set of assumptions, such as a high-growth or restrictive-regulation scenario. Monte Carlo simulation can model distributions of demand, fuel price, repair cost, and residual value, producing a distribution of NPV rather than a single estimate. The quality of the result depends on the quality of the assumptions and correlations.

Governance should specify decision rights, approval thresholds, data ownership, procurement controls, contract review, safety accountability, and post-investment evaluation. A fleet business case should state assumptions openly and include a sensitivity table rather than presenting a falsely precise answer.

8. Sustainability, Regulation, and Ethics

Fleet decisions have external effects. Vehicle emissions, noise, congestion, road damage, battery materials, worker safety, and community impacts should be incorporated into strategic evaluation. A total-cost model may include carbon pricing or shadow pricing where appropriate:

If emissions are measured in tonnes of CO₂-equivalent and carbon price in currency per tonne, the result is currency. This is a decision-support value and may differ from a legally imposed tax.

Managers must comply with vehicle weight and dimension rules, driver-hours requirements, inspection regimes, emissions standards, procurement law, and data-protection obligations. Telematics can improve safety and utilization, but surveillance must be proportionate, transparent, secure, and consistent with employment law. Algorithms used for driver scoring or maintenance prioritization should be explainable and audited for unfair effects.

Electrification may reduce operating emissions and noise but requires route compatibility, charging infrastructure, grid capacity, battery-health management, and end-of-life planning. Total environmental performance should be evaluated across the asset life cycle rather than inferred from tailpipe emissions alone.

9. Technology and Analytical Capability

Modern fleet management systems integrate telematics, maintenance records, fuel or charging data, dispatch systems, warehouse systems, and financial data. Useful applications include predictive maintenance, automated defect alerts, route adherence, utilization analysis, and replacement forecasting.

Artificial intelligence can support demand forecasting, vehicle assignment, anomaly detection, and maintenance prediction. It should augment rather than replace managerial judgment. Models require reliable historical data and should be monitored for drift. A prediction that a component will fail is valuable only if parts, labor, and scheduling processes can act on it.

A practical data architecture should establish a common asset identifier, consistent odometer and engine-hour records, standardized downtime codes, verified fuel and energy measurements, and clear definitions of availability and utilization. Poor definitions can make a fleet appear efficient merely because unavailable vehicles are excluded from the denominator.

10. Illustrative Case: NorthRiver Distribution

Background

NorthRiver Distribution, a fictional regional wholesaler, serves supermarkets from one central depot. Its fleet consists of 20 diesel rigid trucks. Demand is stable for nine months but rises by 35 percent during the final quarter. Vehicles average 68 percent payload utilization, and unplanned downtime has increased from 3 to 8 percent over four years.

Problem

Management must decide whether to purchase six replacement trucks, use a mixed owned-and-rented fleet, or contract a dedicated carrier. The board is concerned about capital expenditure, service failures, and anticipated urban emissions restrictions.

Analysis

The operations team first separates base and peak demand. Fourteen trucks cover ordinary demand with acceptable utilization; six additional vehicles are required during the peak. Historical data show that peak demand lasts approximately 90 days. Purchasing six vehicles would leave them underutilized outside the peak. The team therefore evaluates three options:

• purchase six vehicles and bear year-round ownership cost;
• retain four replacement vehicles and rent two during the peak;
• outsource the peak requirement to a dedicated carrier with service-level guarantees.

The analysis normalizes all options to cost per successful delivery and includes maintenance, downtime, insurance, rental availability, emissions compliance, and contract-management cost. It also applies scenarios for 10 percent demand decline and stricter urban access rules.

Approach and solution

The recommended design is a hybrid portfolio: replace four high-mileage trucks, retain the most reliable existing vehicles as a limited reserve, rent two vehicles during the peak, and include a dedicated-carrier framework agreement for exceptional surges. The replacement specifications include telematics, safety systems, and two electric vehicles for routes whose duty cycles fit available charging capacity.

The procurement contract requires guaranteed substitute vehicles, transparent energy and maintenance charges, data access, mileage definitions, early termination provisions, and compliance reporting. A quarterly review monitors cost per delivery, availability, utilization, emissions, and customer-service performance.

Outcome and learning points

The hybrid strategy reduces permanent excess capacity while preserving peak flexibility. It also stages technology adoption rather than committing the whole fleet before route and charging evidence is available. The case demonstrates that fleet strategy is a portfolio and governance problem, not merely a vehicle-purchase decision. The preferred option depends on demand variability, service criticality, contract quality, and the value of flexibility.

11. Implementation Framework and Best Practices

A disciplined fleet-strategy process can follow these steps:

1. Define service requirements and network boundaries.
2. Build a demand profile by lane, time period, payload, volume, and service window.
3. Measure current utilization, availability, empty running, cost, safety, and emissions.
4. Segment routes by duty cycle and equipment requirement.
5. Develop owned, leased, rented, outsourced, and hybrid alternatives.
6. Calculate comparable life-cycle cost and incremental cash flow.
7. Test demand, price, technology, regulatory, and residual-value scenarios.
8. Evaluate qualitative factors, including control, resilience, labor, and customer experience.
9. Select a portfolio with explicit flexibility and contingency capacity.
10. Establish contracts, data standards, performance measures, and review gates.
11. Monitor outcomes and update replacement assumptions using actual evidence.

Best practice is to maintain an asset register linked to financial, maintenance, telematics, and incident data. Replacement plans should be rolling rather than fixed permanently. Procurement should involve operations, finance, maintenance, safety, sustainability, legal, and information technology. Finally, post-implementation reviews should compare actual utilization, costs, downtime, residual value, and service outcomes with the original business case.

Challenges and Limitations

Fleet analysis is limited by uncertain demand, incomplete maintenance records, inconsistent utilization definitions, volatile fuel prices, uncertain residual values, and changing regulation. Cost models may also omit managerial time, disruption during transition, supplier failure, or the cost of inadequate service. Discounted cash flow can create an appearance of precision when assumptions are weak. Quantitative analysis should therefore be combined with scenario planning, operational pilots, expert review, and explicit risk governance.

Chapter Summary

Fleet strategy aligns transportation capacity, asset ownership, supplier relationships, and technology with service requirements and business risk. Fleet sizing must consider peak demand, payload or volume limits, vehicle productivity, availability, utilization, and uncertainty. Fleet composition should match vehicle capabilities to route duty cycles rather than rely on one standard asset.

Ownership, leasing, rental, common-carrier outsourcing, and dedicated-carrier arrangements distribute cost, control, flexibility, and risk differently. Life-cycle costing includes acquisition, operation, maintenance, downtime, infrastructure, disposal, and residual value. Present-value analysis and equivalent annual cost enable comparisons across time and asset lives, while capital budgeting evaluates incremental cash flows and NPV.

Replacement timing balances rising operating and reliability costs against capital expenditure, residual value, and technology risk. Sustainability, safety, regulation, data governance, and ethical monitoring are integral to fleet decisions. The strongest strategies use a portfolio of permanent and flexible capacity, transparent assumptions, scenario analysis, robust contracts, and continuous performance review.

Key Terms

Fleet strategy: Long-term design of transportation assets, capacity sources, and operating capabilities.

Fleet sizing: Determining the number of vehicles required to meet transportation demand.

Fleet composition: The mix of vehicle classes, body types, capacities, and technologies.

Availability: Proportion of fleet time during which an asset is operational and ready for use.

Utilization: Degree to which available vehicle capacity or time is productively used.

Productive capacity: Capacity that can actually be used after operational constraints.

Base capacity: Capacity maintained for normal, recurring demand.

Flexible capacity: Temporary or variable capacity used for peaks and uncertainty.

Total cost of ownership: All relevant acquisition, operating, maintenance, risk, and disposal costs.

Life-cycle cost: Cost incurred across an asset’s complete economic life, net of residual value.

Residual value: Expected proceeds or economic value when an asset is sold or retired.

Present value: Current value of future cash flows discounted at a specified rate.

Equivalent annual cost: Uniform annual cost equivalent to an asset’s present-value cost.

Dedicated carrier: Outsourced carrier providing committed capacity for one shipper.

Replacement timing: Decision about when an existing asset should be retired or replaced.

Net present value: Present value of incremental benefits and costs, including investment.

Duty cycle: The operating pattern of a vehicle, including distance, load, stops, terrain, and time.

Predictive maintenance: Use of condition and historical data to anticipate maintenance needs.

Real option: Value created by preserving the ability to delay, expand, abandon, or switch a decision.

Shadow carbon price: Imputed environmental cost assigned to emissions for decision analysis.

Review Questions

Short Answer Questions

1. Why is fleet sizing based on average demand alone potentially misleading?
2. Distinguish availability from utilization.
3. What major cost categories should be included in total cost of ownership?
4. When is a dedicated carrier likely to be preferable to a common carrier?
5. Why must residual value be included in life-cycle costing?

Long Answer Questions

1. Compare ownership, full-service leasing, rental, common-carrier outsourcing, and dedicated-carrier arrangements in terms of control, flexibility, cost, and risk.
2. Explain how fleet composition should be matched to route duty cycles and service requirements.
3. Describe the use and limitations of present-value life-cycle cost and equivalent annual cost.
4. Discuss the strategic, financial, and operational factors that influence replacement timing.
5. Explain how sustainability, regulation, telematics, and AI affect contemporary fleet strategy.

Analytical / Application Questions

1. A company must move 2,400 pallets per week. Each vehicle carries 20 pallets, completes 2.4 productive loads per day over five days, has 90 percent availability, and achieves 88 percent route efficiency. Calculate the minimum fleet size and identify two reasons why the result should be validated operationally.
2. Compare an owned vehicle costing 110,000 with annual operating cost of 28,000 and residual value of 30,000 after five years against a full-service lease costing 35,000 annually for five years. Use an 8 percent discount rate and explain which assumptions could change the decision.
3. Design a hybrid fleet strategy for a company whose demand is stable for eight months but doubles during a four-month seasonal peak. Justify the permanent and flexible capacity, ownership mix, performance measures, and risk controls.

Multiple Choice Questions with Answers

Question 1

Which factor most directly reduces effective fleet capacity?

A. Higher vehicle availability

B. Lower unplanned downtime

C. Maintenance immobilization

D. Improved route productivity

Correct Answer: C. Maintenance immobilization

Question 2

A fleet sizing calculation should normally round the calculated vehicle requirement:

A. Down to the nearest whole vehicle

B. Up to the next whole vehicle

C. To zero when utilization is below 50 percent

D. To the nearest decimal

Correct Answer: B. Up to the next whole vehicle

Question 3

Which option generally provides the greatest short-term flexibility?

A. Asset ownership

B. Long-term finance lease

C. Short-term rental

D. Permanent dedicated fleet

Correct Answer: C. Short-term rental

Question 4

In present-value life-cycle costing, residual value is normally treated as:

A. A cost added at the end of the asset life

B. A benefit discounted back from the end of the asset life

C. An irrelevant accounting amount

D. A replacement vehicle operating cost

Correct Answer: B. A benefit discounted back from the end of the asset life

Question 5

Equivalent annual cost is especially useful when alternatives have:

A. Identical lives and identical cash flows

B. Different economic lives

C. No operating costs

D. No residual values

Correct Answer: B. Different economic lives

Question 6

Which statement best describes a dedicated carrier?

A. A carrier providing only emergency spot-market capacity

B. A carrier providing committed capacity for one shipper

C. A vehicle manufacturer that sells trucks

D. An internal maintenance department

Correct Answer: B. A carrier providing committed capacity for one shipper

Question 7

In an NPV analysis, sunk costs should generally be:

A. Included as new incremental cash flows

B. Excluded unless they create avoidable future cash flows

C. Discounted at twice the normal rate

D. Counted as residual value

Correct Answer: B. Excluded unless they create avoidable future cash flows

Question 8

Why might a hybrid fleet be strategically attractive?

A. It eliminates all fixed costs

B. It combines dependable base capacity with flexible peak capacity

C. It guarantees zero maintenance cost

D. It removes the need for contracts

Correct Answer: B. It combines dependable base capacity with flexible peak capacity

Question 9

Which data issue can distort reported fleet utilization?

A. Using a common asset identifier

B. Including all scheduled vehicles in the denominator

C. Excluding unavailable vehicles from the denominator

D. Recording actual mileage

Correct Answer: C. Excluding unavailable vehicles from the denominator

Question 10

A shadow carbon price is used in fleet analysis to:

A. Estimate vehicle payload

B. Assign an imputed economic cost to emissions

C. Calculate driver overtime

D. Determine lease mileage limits

Correct Answer: B. Assign an imputed economic cost to emissions