Fleet Operations & Routing

Chapter 1
Fleet Operations and Transport Strategy

Post Graduate Program in Logistics
Fleet Operations & Routing   •   Post Graduate

Fleet Operations and Transport Strategy

Introduction

Fleet operations concern the planning, acquisition, deployment, control, maintenance and retirement of vehicles and associated transport resources. They include far more than driving vehicles from origin to destination. A fleet is an operational system that converts transport demand into movement while balancing service, cost, asset utilisation, safety, regulatory compliance, environmental performance and resilience.

For logistics managers, fleet decisions are strategic because transport commonly represents a substantial proportion of logistics expenditure and directly affects customer experience. A vehicle arriving late can disrupt production, create inventory shortages, reduce shelf availability or damage a firm’s reputation. Conversely, excessive fleet capacity can create idle assets, unnecessary depreciation and avoidable emissions.

Fleet operations therefore sit at the intersection of logistics management, supply-chain strategy, operations planning, finance, engineering, information systems, human-resource management and public regulation. The central managerial challenge is not simply to minimise transport cost. It is to design a transport system that delivers the required service at an acceptable total cost and risk.

Learning Objectives

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

  1. Explain core fleet, transport and logistics terminology.
  2. Distinguish major fleet operating and ownership models.
  3. Relate transport service objectives to supply-chain performance.
  4. Analyse the structure and strategic implications of transport networks.
  5. Identify the roles and interests of key fleet stakeholders.
  6. Apply basic fleet-performance measures and interpret their limitations.
  7. Evaluate strategic trade-offs involving cost, service, capacity, risk, sustainability and technology.

1. Fleet Operations in the Logistics System

Logistics is the management of the forward and reverse flow and storage of goods, services and related information between points of origin and consumption. Transportation is the physical movement component of logistics. Fleet operations are the activities through which an organisation provides or controls that movement using vehicles, drivers, contractors, facilities, data and operating procedures.

A useful systems view is:

Demand → transport planning → vehicle and driver allocation → movement → delivery confirmation → performance feedback

Transport is both a derived demand and a source of competitive advantage. It is derived because vehicles move goods or people in response to commercial or operational requirements. It becomes strategically important because the design of the transport service influences lead time, reliability, inventory requirements, market reach and customer value.

A supply chain can often be represented as a sequence of suppliers, plants, distribution centres, cross-docks, retailers, customers and return points. Fleet operations connect these nodes. Poor coordination between transport and other functions produces predictable problems: warehouses release freight after the planned departure time, procurement creates delivery peaks, sales promises unrealistic delivery windows, and transport managers compensate with overtime or premium carriers.

The strategic objective is therefore integration. Fleet decisions should be made with reference to inventory policy, facility location, production schedules, customer segmentation, procurement terms and reverse-logistics requirements.

2. Essential Terminology

Fleet and vehicle terms

A fleet is a group of vehicles managed as a coordinated resource. A fleet may be homogeneous, such as a group of identical vans, or heterogeneous, such as a combination of rigid trucks, articulated vehicles, trailers, electric vehicles and subcontracted capacity.

A power unit is the mechanically driven part of a vehicle combination, such as a truck tractor. A trailer carries freight but has no independent propulsion. Payload is the weight of goods that a vehicle carries. Cubic capacity is the available volume for freight. A vehicle may reach its weight limit before its volume limit, or vice versa.

Gross vehicle weight is the total weight of the vehicle, passengers, fuel and cargo. Tare weight is the weight of the empty vehicle. Payload capacity is constrained by the legally permitted gross weight and the vehicle’s tare weight, although axle loading, dimensions and safety requirements may impose additional restrictions.

Operating terms

A trip is a movement from an origin to a destination or through a defined sequence of stops. A route is the ordered sequence of links and stops assigned to a vehicle. A tour commonly refers to a vehicle’s complete planned set of movements during a shift or operating period.

A deadhead movement is travel without revenue-generating or planned freight. Empty running is a related term describing movement with no payload. Backhaul is freight carried on the return direction after an outbound delivery. Backhauls improve asset productivity when suitable demand exists, but forcing unsuitable backhauls may create delays or handling costs.

Dwell time is the period a vehicle remains stationary at a facility, including waiting, loading, unloading, inspection or documentation. Transit time is the movement time between two points; in practice, organisations should define whether it includes stops and facility waiting. Turnaround time is the total time required to complete a defined service cycle, often including loading, travel, unloading and return preparation.

Capacity and service terms

Available capacity is the transport capacity offered by vehicles, drivers and operating hours. Committed capacity is capacity reserved for specified work. Utilisation indicates how much of available capacity is used. Utilisation can be measured by vehicle-hours, kilometres, weight, volume, trips or revenue, and these measures are not interchangeable.

Load factor generally measures the proportion of physical carrying capacity used. A weight load factor may be expressed as loaded weight divided by permissible payload; a volume load factor uses occupied volume divided by usable volume. A high load factor does not necessarily mean an efficient operation if the route is long, unreliable or poorly timed.

On-time delivery measures whether delivery occurs within an agreed time rule. OTIF, or on-time in-full, requires both timing and quantity compliance. Order cycle time is the elapsed time from order placement or release to delivery, according to the organisation’s defined boundaries.

3. Fleet Operating and Ownership Models

No single model is universally superior. The appropriate choice depends on demand stability, strategic control, capital availability, regulatory conditions, asset specificity and the availability of competent transport providers.

ModelMain characteristicsAdvantagesRisks or limitations
Private fleetVehicles owned or controlled by the shipperHigh control, dedicated service, direct dataCapital intensity, fixed costs, management burden
Dedicated contract carriageExternal provider supplies dedicated vehicles and staffSpecialist expertise with committed capacityContract dependence and possible inflexibility
Common carriageCarrier serves multiple customersVariable capacity and access to networksLess control over prioritisation and service design
Brokered or spot transportCapacity purchased for individual loadsFlexibility during peaksPrice volatility, variable quality and visibility
LeasingVehicles obtained under operating or finance arrangementsSmoother capital requirements, renewal flexibilityContract obligations and possible mileage or condition limits
Hybrid modelCombination of owned, contracted and spot capacityBalances control and flexibilityGovernance and coordination complexity

Private fleets

A private fleet is appropriate where transport is strategically differentiating, demand is sufficiently stable, service requirements are specialised, or external markets cannot provide the required reliability. Examples include temperature-controlled pharmaceuticals, emergency response, hazardous materials, secure cash transport and high-frequency retail replenishment.

The economic challenge is that fixed costs remain even when demand falls. These costs include depreciation or lease charges, insurance, taxation, management, facilities and some maintenance overheads. The fleet must therefore be evaluated over a demand cycle rather than a single busy period.

Outsourcing and contract carriage

Outsourcing can convert some fixed costs into variable or semi-variable costs and provide access to specialist capabilities, technology and scale. However, outsourcing does not eliminate management responsibility. The shipper remains responsible for supplier selection, contractual performance, data quality, escalation, compliance and relationship governance.

A sound contract specifies service definitions, capacity commitments, pricing mechanisms, accessorial charges, fuel treatment, safety standards, claims procedures, data ownership, audit rights, business continuity and improvement obligations. The lowest quoted rate may not produce the lowest total cost when missed deliveries, damage, detention and administrative effort are included.

Hybrid strategies

Hybrid fleets are common because demand is rarely uniform. A company may use its own vehicles for predictable core routes, dedicated contractors for regional line-haul work and spot carriers for seasonal peaks. The strategic task is to establish allocation rules rather than allowing each planner to choose capacity inconsistently.

4. Transport Service Objectives and Trade-offs

Transport strategy translates corporate and supply-chain priorities into measurable service requirements. Typical objectives include:

  • reliable delivery within promised windows;
  • adequate capacity during normal and peak demand;
  • low damage, loss and claims rates;
  • competitive total cost;
  • safety and legal compliance;
  • low environmental impact;
  • visibility and accurate information;
  • resilience during disruptions; and
  • appropriate flexibility for customers and operations.

These objectives can conflict. Increasing delivery frequency can reduce customer inventory but increase kilometres and vehicle requirements. Tight delivery windows can improve customer convenience but increase route complexity and empty running. Maximising vehicle utilisation can reduce cost per unit but leave insufficient contingency capacity.

A strategic decision should therefore use a balanced service-cost-risk perspective. A practical service specification identifies the customer segment, delivery frequency, time window, order cut-off, acceptable variability, damage tolerance, proof-of-delivery requirement and escalation procedure.

Basic performance measures

The following measures are useful when definitions are consistent.

Vehicle utilisation by time:

Ut = (productive vehicle-hours ÷ available vehicle-hours) × 100%

Here, productive vehicle-hours are hours spent on approved productive work, and available vehicle-hours are the hours during which the vehicle is scheduled and operationally available. The measure should state whether loading, waiting and empty repositioning are productive; otherwise comparisons become misleading.

Distance utilisation:

Ud = (loaded kilometres ÷ total kilometres) × 100%

This measure is appropriate when the organisation wants to monitor empty running. It does not measure whether the loaded kilometres carried economically valuable freight.

Cost per kilometre:

Ckm = total transport cost ÷ total kilometres

Total transport cost should define included items such as fuel, labour, maintenance, tyres, insurance, depreciation or lease charges, tolls, subcontracting and overhead allocation. Cost per kilometre should not be compared across fleets with different payloads or service patterns without adjustment.

Cost per delivered unit:

Cu = total transport cost ÷ number of delivered units

The unit may be a shipment, pallet, case, tonne or cubic metre. The unit must remain consistent across the comparison.

On-time performance:

OTP = (deliveries within the agreed time rule ÷ total eligible deliveries) × 100%

The agreed time rule must define the delivery window, exclusions, treatment of customer-caused delays and whether early deliveries qualify.

Vehicle availability:

A = (scheduled hours − unavailable hours) ÷ scheduled hours × 100%

Unavailable hours may include breakdowns, planned maintenance, inspections and compliance holds. The organisation should avoid hiding poor maintenance by excluding inconvenient periods from the denominator.

Worked example

A regional fleet has 12 vans. During one month, each van is scheduled for 160 hours, giving 1,920 scheduled vehicle-hours. The vans record 1,536 productive hours and travel 57,600 km, of which 43,200 km carry freight. Total transport cost is £86,400.

Time utilisation is:

Ut = (1,536 ÷ 1,920) × 100% = 80%

Distance utilisation is:

Ud = (43,200 ÷ 57,600) × 100% = 75%

Cost per kilometre is:

Ckm = £86,400 ÷ 57,600 = £1.50 per km

These results do not prove that the fleet is efficient. Management must still examine delivery reliability, payload utilisation, damage, safety, driver workload, geographical density and whether productive hours include excessive waiting.

5. Transport Networks and Operating Structures

A transport network consists of nodes, links, flows, rules and resources. Nodes include suppliers, factories, warehouses, cross-docks, ports, stores, customers, charging sites and maintenance facilities. Links are roads, rail corridors, waterways, air routes or multimodal connections. Flows may represent goods, vehicles, information, returns or payments.

Common network structures

In a direct shipment structure, freight moves from origin to destination without intermediate consolidation. It can provide speed and product integrity but may create low vehicle utilisation when shipments are small or dispersed.

A hub-and-spoke structure consolidates flows through central hubs. It can increase network density and enable frequent service, but introduces handling, hub congestion and dependence on critical nodes.

A milk-run uses one vehicle to serve multiple suppliers or customers on a planned loop. It can reduce empty running and coordinate frequent collection, but requires compatible schedules, accurate quantities and disciplined loading sequences.

A cross-dock transfers goods rapidly from inbound to outbound vehicles with limited storage. This reduces inventory residence time but makes the operation sensitive to arrival timing, data accuracy and disruption.

Multimodal transport combines modes, such as road and rail or road and sea. It may reduce cost or emissions over long distances, though transfers introduce handling, documentation and schedule risks.

Network design decisions include facility location, shipment frequency, consolidation policy, mode choice, fleet mix, route structure, delivery windows and contingency capacity. These decisions should be analysed together. A warehouse located near customers may reduce final-mile kilometres but increase inventory or upstream transport costs.

Integrated transport network Suppliers Production Distributioncentre / hub Customers A Customers B Returns Forward flows, consolidation and reverse logistics must be coordinated
Transport network showing suppliers, distribution centre, customers and reverse flows
Figure: Transport network showing suppliers, distribution centre, customers and reverse flows

Figure: A simplified integrated transport network with forward and reverse flows.

6. Stakeholders and Governance

Fleet performance is shaped by stakeholders with different objectives.

Customers value reliability, convenience, visibility, product condition and accurate documentation. Shippers and supply-chain planners seek capacity, cost control and alignment with inventory and production. Carriers and drivers require commercially viable work, safe conditions, realistic schedules and fair treatment. Warehouse and terminal operators influence loading accuracy, dwell time and departure discipline. Maintenance providers and manufacturers affect availability, lifecycle cost and technical support.

Government and regulators establish requirements for licensing, roadworthiness, driver hours, weights and dimensions, dangerous goods, emissions, labour, data protection and road safety. Insurers and financiers influence risk controls and capital decisions. Local communities experience congestion, noise, emissions and road-safety effects. Employees and trade unions may influence working time, training, consultation and change implementation.

Governance converts these interests into accountability. Essential controls include delegated authority, approved suppliers, driver qualification, maintenance records, incident reporting, route risk assessment, fatigue management, data access controls and periodic performance review.

A contract or dashboard should never reward one metric in isolation. For example, rewarding only cost per delivery may encourage unsafe driving, unrealistic schedules, under-maintenance or poor customer communication. Balanced scorecards should combine service, cost, safety, compliance, people, environmental and resilience indicators.

7. Strategic Relationship with Logistics and Supply-Chain Performance

Fleet operations influence supply-chain performance through five principal mechanisms.

First, transport reliability affects inventory. If delivery lead time is long or variable, firms often hold additional safety stock. Reducing variability can therefore create value even when average transport time changes little.

Second, transport capability affects facility design and market coverage. A dense, reliable delivery network may support centralised inventory, whereas weak transport may require regional stockholding.

Third, fleet decisions influence customer service and revenue. Delivery windows, proof of delivery, damage rates and communication are part of the customer proposition.

Fourth, transport affects total cost, not merely the freight invoice. Relevant costs include handling, inventory carrying, stockouts, expediting, returns, damage, administration, infrastructure and emissions compliance.

Fifth, fleet operations influence resilience. A single carrier, depot, route, fuel source or technology platform can create concentration risk. Resilient design may require alternative carriers, spare vehicles, cross-trained staff, multiple depots, emergency procedures and tested communication channels.

The relationship can be expressed conceptually as:

Supply-chain value = service value − total logistics cost − risk and externality costs

This is a managerial framework rather than a universally measurable accounting identity. “Service value” may include revenue protection, customer retention and production continuity; “risk and externality costs” may include disruption exposure, emissions, congestion, injuries and regulatory penalties. The framework is useful because it prevents narrow optimisation of the transport budget.

8. Illustrative Case: Northstar Medical Distribution

Background

Northstar Medical Distribution is an illustrative case. It supplies hospitals and pharmacies from one regional distribution centre using 18 refrigerated vans and several spot carriers. Orders have grown by 22% in two years. The company’s on-time performance has declined from 96% to 88%, vehicle utilisation varies significantly by route, and urgent deliveries are increasing.

Problem

Managers initially proposed purchasing six additional vans. However, analysis found that the main causes of failure were late warehouse release, excessive dwell time at two hospitals, poorly sequenced routes and weak coordination between owned and outsourced capacity. The additional vehicles would have increased capacity without correcting the system constraint.

Analysis

The team segmented customers by clinical criticality and delivery frequency. It mapped the network and measured end-to-end cycle time rather than only driving time. It found that 19% of scheduled vehicle-hours were spent waiting at facilities and that several return journeys were empty. Refrigerated capacity was adequate on average but insufficient during two weekly demand peaks.

The analysis also reviewed compliance. Temperature records were incomplete on some subcontracted journeys, and delivery schedules left limited recovery time for traffic disruption. Because medical products can be safety-critical, service design could not be based solely on cost.

Approach and solution

Northstar implemented five changes:

  1. It introduced time-slot agreements and a pre-staging cut-off at the distribution centre.
  2. It redesigned routes using customer criticality, geographic density and temperature-control constraints.
  3. It reserved owned vehicles for critical recurring routes and used approved contractors for predictable peak overflow.
  4. It required electronic proof of delivery and continuous temperature records for all providers.
  5. It created a balanced dashboard covering OTIF, temperature excursions, dwell time, cost per case, safety events and empty kilometres.

Outcome

After three months, the illustrative results were an increase in OTIF to 95%, a reduction in average dwell time by 14%, and a reduction in empty kilometres by 9%. No additional permanent vehicles were purchased; two short-term leased vehicles were used during the peak period. The improvement was not attributed to routing software alone. It resulted from coordinated changes in warehouse discipline, customer agreements, capacity allocation, data capture and governance.

Learning points

The case demonstrates that fleet problems may originate outside the fleet department. It also shows why average capacity is insufficient for service planning, why critical products require risk-based controls, and why technology is most effective when operating processes and accountability are already defined.

9. Technology, Sustainability and Contemporary Developments

Fleet management systems increasingly integrate vehicle telematics, GPS, electronic proof of delivery, driver applications, maintenance records, fuel data, temperature sensors and customer portals. These systems can improve visibility and identify exceptions, but data quality, privacy, cybersecurity and employee trust must be managed.

Artificial intelligence and advanced analytics can support demand forecasting, estimated arrival times, route sequencing, anomaly detection, predictive maintenance and dynamic capacity allocation. Their outputs should be treated as decision support rather than unquestionable recommendations. Models may reproduce historical bias, fail during unusual disruptions or optimise a narrow objective. Human review, audit trails, override procedures and explainable decision rules remain important.

Decarbonisation is changing fleet strategy. Options include route and load consolidation, driver coaching, alternative fuels, battery-electric vehicles, renewable electricity, modal shift and redesigned delivery networks. Vehicle selection must consider duty cycle, payload, charging or refuelling infrastructure, ambient conditions, residual value, maintenance capability and total cost of ownership.

A lifecycle perspective is essential. An electric vehicle may have lower operational emissions and energy cost but require charging investment and careful scheduling. A conventional vehicle may offer greater range but face fuel-price and emissions risks. Environmental claims should use defined system boundaries and reliable data rather than unsupported marketing statements.

10. Challenges, Limitations and Best Practice

Fleet decisions are difficult because demand is uncertain, road conditions change, regulations differ by jurisdiction and performance data often use inconsistent definitions. Utilisation can be increased by adding work, but excessive utilisation may reduce resilience and increase driver fatigue. Outsourcing can reduce direct management effort but increase dependency and information asymmetry. Automation can improve consistency but create cyber and workforce risks.

Best practice includes:

  • define service requirements before selecting vehicles or carriers;
  • measure end-to-end performance, not only driving time;
  • use consistent metric definitions and documented data sources;
  • separate fixed, variable and activity-related costs;
  • evaluate total cost of ownership and total landed cost;
  • maintain contingency capacity for critical services;
  • integrate fleet, warehouse, inventory and customer planning;
  • use risk-based safety, maintenance and compliance controls;
  • involve drivers and operational staff in process design;
  • govern algorithms, data access and cybersecurity;
  • include emissions and community impacts in strategic evaluation; and
  • review the operating model periodically as demand and technology change.

Chapter Summary

Fleet operations are the coordinated management of vehicles, drivers, capacity, facilities, information and service processes. They form the physical connection between supply-chain nodes and influence cost, lead time, reliability, inventory, customer value, resilience and environmental performance.

The principal operating models are private fleets, dedicated contract carriage, common carriage, spot transport, leasing and hybrid arrangements. Their suitability depends on demand, control requirements, capital, expertise, risk and market conditions. Transport networks may use direct shipment, hubs, milk-runs, cross-docks and multimodal links, each creating distinct trade-offs.

Key performance measures include time utilisation, distance utilisation, cost per kilometre, cost per delivered unit, on-time performance and vehicle availability. These measures require precise definitions and should be interpreted together rather than optimised individually. Stakeholder governance is essential because customers, drivers, carriers, regulators, communities and internal functions pursue partly different objectives.

Strategic fleet management aligns transport capability with logistics and supply-chain requirements. Effective practice combines service design, total-cost analysis, risk management, safety, sustainability, technology governance and continuous improvement. The most important managerial lesson is that fleet performance is a system outcome: purchasing vehicles or software cannot substitute for integrated processes, reliable data and accountable decision-making.

Key Terms

Fleet: A coordinated group of vehicles managed as a resource.

Payload: The weight of goods a vehicle is permitted and designed to carry.

Tare weight: The weight of an empty vehicle or vehicle combination.

Deadhead movement: Travel without planned revenue-generating or freight movement.

Backhaul: Freight carried on the return direction after an outbound movement.

Dwell time: Time a vehicle spends stationary at a facility.

Turnaround time: Total time required to complete a defined operating cycle.

Load factor: The proportion of available physical weight or volume capacity used.

Vehicle utilisation: The extent to which available vehicle resources are used.

Private fleet: Vehicles owned or controlled by the organisation that ships the goods.

Dedicated contract carriage: Outsourced transport capacity committed to one principal customer.

Common carriage: Transport service offered to multiple customers.

Milk-run: A planned route serving several collection or delivery points.

Cross-dock: A facility where inbound goods are transferred to outbound vehicles with limited storage.

OTIF: On-time and in-full delivery performance.

Network node: A facility or point at which transport flows originate, terminate or change.

Reverse logistics: The movement of returns, reusable assets, recycling or recovery flows.

Total cost of ownership: The full lifecycle cost of acquiring, operating, maintaining and retiring an asset.

Fleet governance: Policies, controls, accountabilities and reviews used to direct fleet operations.

Resilience: The ability of a transport system to prepare for, absorb and recover from disruption.

Review Questions

Short Answer Questions

  1. Define fleet operations and explain how they differ from transportation in general.
  2. What is the difference between payload, tare weight and gross vehicle weight?
  3. Explain the meaning of empty running and backhaul.
  4. Identify two advantages and two limitations of outsourcing transport.
  5. Why should on-time performance be defined using an agreed time rule?

Long Answer Questions

  1. Compare private fleets, dedicated contract carriage and common carriage. Under what conditions would each be appropriate?
  2. Explain how transport reliability influences inventory, facility location and customer service.
  3. Describe the principal characteristics and trade-offs of direct shipment, hub-and-spoke and cross-dock networks.
  4. Discuss the stakeholder governance requirements of a modern fleet operation.
  5. Evaluate the argument that fleet strategy should optimise total supply-chain value rather than transport cost alone.

Analytical / Application Questions

  1. A fleet records 2,400 scheduled vehicle-hours, 1,800 productive vehicle-hours, 80,000 total kilometres and 60,000 loaded kilometres. Calculate time utilisation and distance utilisation, then explain what the results do and do not demonstrate.
  2. A retailer is considering six additional owned vehicles to address late deliveries. Design an analytical process to determine whether the real problem is insufficient capacity, poor route design, warehouse delay, customer dwell time or weak carrier governance.
  3. A pharmaceutical distributor is choosing between an owned electric fleet, leased conventional vehicles and a hybrid model. Develop a decision framework covering service, total cost, infrastructure, regulatory compliance, resilience, safety, data governance and environmental impact.

Multiple Choice Questions with Answers

Question 1

Which statement best describes fleet operations?

A. Only the mechanical maintenance of vehicles

B. The coordinated management of vehicles, drivers, capacity, information and service processes

C. The accounting process for purchasing fuel

D. The legal registration of commercial vehicles

Correct Answer: B. The coordinated management of vehicles, drivers, capacity, information and service processes

Question 2

What is a backhaul?

A. A vehicle’s first outbound trip

B. A return movement carrying suitable freight after an outbound delivery

C. A vehicle waiting at a loading bay

D. A vehicle travelling above its legal weight

Correct Answer: B. A return movement carrying suitable freight after an outbound delivery

Question 3

Which operating model normally provides the shipper with the greatest direct control over vehicles and drivers?

A. Private fleet

B. Common carriage

C. Spot brokerage

D. Uncommitted outsourcing

Correct Answer: A. Private fleet

Question 4

A fleet has 1,536 productive vehicle-hours and 1,920 available vehicle-hours. What is its time utilisation?

A. 60%

B. 75%

C. 80%

D. 85%

Correct Answer: C. 80%

Question 5

Which measure specifically focuses on the proportion of kilometres travelled while carrying freight?

A. Distance utilisation

B. Vehicle availability

C. Turnaround time

D. Cost per delivered unit

Correct Answer: A. Distance utilisation

Question 6

What is a principal risk of a hub-and-spoke network?

A. It cannot consolidate freight

B. It eliminates all handling activity

C. It may create dependence on hub capacity and timing

D. It requires every shipment to travel directly

Correct Answer: C. It may create dependence on hub capacity and timing

Question 7

Why is total-cost analysis superior to comparing freight rates alone?

A. Freight rates are always irrelevant

B. It includes related costs such as inventory, damage, handling and expediting

C. It guarantees the lowest service level

D. It excludes maintenance and labour costs

Correct Answer: B. It includes related costs such as inventory, damage, handling and expediting

Question 8

Which is the most appropriate interpretation of a high vehicle utilisation rate?

A. The fleet is automatically safe and profitable

B. The fleet uses a large proportion of available vehicle resources, but other performance dimensions still require evaluation

C. All vehicles are operating at maximum payload

D. There is no need for contingency capacity

Correct Answer: B. The fleet uses a large proportion of available vehicle resources, but other performance dimensions still require evaluation

Question 9

Which control is especially important when artificial intelligence recommends fleet decisions?

A. Removing all human review

B. Using only the cheapest recommendation

C. Maintaining auditability, override procedures and data governance

D. Ignoring unusual disruptions

Correct Answer: C. Maintaining auditability, override procedures and data governance

Question 10

Which change formed part of the Northstar illustrative case solution?

A. Purchasing six additional permanent vehicles immediately

B. Eliminating temperature monitoring for subcontractors

C. Reserving owned vehicles for critical recurring routes and using approved contractors for peaks

D. Removing delivery time-slot agreements

Correct Answer: C. Reserving owned vehicles for critical recurring routes and using approved contractors for peaks

Fleet Operations & Routing
Chapter 1 of 14