Foundations of Facilities Planning and Material Handling

Introduction

Facilities planning and material handling form the physical foundation of production management. Every transformation system requires space, equipment, people, information, and movement. The arrangement of these resources influences throughput, quality, safety, flexibility, inventory, delivery reliability, and total operating cost. A technically sophisticated production system can perform poorly when its layout creates excessive travel, congestion, unsafe interactions, difficult supervision, or frequent handling.

Facilities planning is therefore not merely the preparation of a floor plan. It is a strategic and analytical process through which an organisation determines the location, configuration, capacity, relationships, and future development of its physical resources. Material handling is the associated discipline concerned with the movement, protection, storage, control, and management of materials, components, products, tools, waste, and related information.

At postgraduate level, the central issue is not simply whether a particular layout is efficient. It is whether the layout and handling system support the organisation’s operations strategy and supply-chain objectives over time. A low-cost layout may be inappropriate for a high-variety, short-lead-time strategy; a highly automated handling system may be uneconomic where demand is unstable; and a compact facility may create resilience problems if it has no room for expansion or disruption recovery.

Learning Objectives

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

1. Define facilities planning, facilities layout, and material handling.
2. Explain the relationship between facilities decisions and operations strategy.
3. Distinguish major layout types and material-handling systems.
4. Identify system boundaries, cost drivers, performance measures, and trade-offs.
5. Apply basic productivity, flow, capacity, and handling-cost concepts.
6. Evaluate the strategic and supply-chain consequences of facilities decisions.
7. Recognise safety, ergonomic, environmental, ethical, and governance requirements.

1. The Facilities System as an Operations System

A facility is the physical setting in which resources are received, transformed, stored, supported, and dispatched. In manufacturing, it may include production buildings, warehouses, yards, offices, laboratories, maintenance areas, utilities, roads, docks, and employee amenities. In services, facilities may include hospitals, retail stores, airports, campuses, and distribution centres.

Facilities planning addresses five related questions:

• Where should the facility or activity be located?
• What resources, departments, workstations, storage areas, and services are required?
• How much capacity and space are required?
• How should these resources be arranged and connected?
• How will the system evolve as products, technology, volume, regulation, and risk change?

Facilities decisions occur at several levels. Strategic location decisions select a region, country, or site. Tactical layout decisions determine relationships among departments and major areas. Operational design decisions specify workstations, aisles, racks, conveyors, controls, and standard procedures. These levels are interdependent: a site with poor access may constrain the layout, while a layout with excessive travel may undermine an otherwise excellent location.

A useful system view is shown below.

Figure: The facility as a transformation system embedded in a supply-chain and institutional environment.

The boundary of analysis must be made explicit. A project that optimises only internal travel may shift congestion to the receiving dock. A warehouse design that reduces picking distance may increase replenishment risk. A production layout that minimises distance may create unsafe pedestrian–vehicle crossings. Facilities planning is consequently a systems problem rather than an isolated geometric exercise.

2. Essential Terminology

Facilities planning is the process of determining the location, configuration, capacity, relationships, and future development of physical resources required to perform organisational activities.

Facilities layout is the physical arrangement of departments, workstations, machines, storage areas, aisles, offices, utilities, and service areas within a site or building.

Material handling comprises the movement, storage, protection, control, and associated information management of materials and products throughout a facility or supply network.

Flow is the movement of materials, people, information, or products between activities. Flow may be continuous, intermittent, one-directional, reciprocal, or highly variable.

Throughput is the quantity of acceptable output completed per unit of time.

Work-in-process (WIP) is inventory that has entered a production or service process but has not yet become finished output.

Space utilisation is the extent to which available physical space is productively occupied. High utilisation is not automatically desirable if it creates congestion, poor access, or inadequate safety clearance.

Travel distance is the physical distance moved by a load, person, or vehicle. Travel time also depends on speed, acceleration, waiting, loading, unloading, and congestion.

Unit load is a quantity of material assembled or handled as one object, such as a pallet, tote, roll, container, or batch.

Dock-to-stock time is the elapsed time from receipt at a dock to availability in the appropriate storage or production location.

Cross-docking is a distribution practice in which received goods are transferred to outbound movement with little or no conventional storage.

Ergonomics is the design of work, equipment, and environment to fit human capabilities and limitations.

Flow shop is an arrangement in which resources are positioned according to a relatively stable sequence of operations. Job shop is an arrangement in which resources are grouped by function and jobs follow different routes. Cellular manufacturing groups dissimilar resources to process a family of similar products.

3. Objectives of Facilities Planning

The immediate objective is to create a safe and effective physical system. Common objectives include:

1. Efficient flow: Reduce unnecessary backtracking, crossings, waiting, and handling.
2. Effective use of space: Use cubic as well as floor space while preserving access, safety, and maintainability.
3. Improved productivity: Enable people and equipment to produce more useful output with given resources.
4. Reduced lead time: Shorten the time between order release and completion.
5. Lower total cost: Control construction, equipment, labour, energy, inventory, handling, maintenance, quality, and disruption costs.
6. Flexibility: Permit changes in product mix, volume, technology, staffing, and process sequence.
7. Safety and human performance: Separate hazards, reduce manual strain, provide egress, and support clear visual management.
8. Quality protection: Prevent damage, contamination, mix-ups, and unauthorised movement.
9. Reliability and resilience: Provide alternative routes, buffers, maintainability, and recovery capability.
10. Sustainability: Reduce energy, waste, emissions, packaging, and avoidable transport.

These objectives conflict. Maximum space utilisation can reduce flexibility. A direct flow can make maintenance access difficult. Automation may lower labour cost but increase capital exposure and dependence on software or specialist support. Sound planning therefore uses a total-system and life-cycle perspective.

4. Principles of Material Handling

Several principles provide a disciplined basis for design.

4.1 Planning principle

Handling should be designed as part of the complete process, not added after machines and storage locations have been selected. Product routes, demand patterns, container standards, information flows, safety requirements, and future scenarios should be analysed together.

4.2 Systems principle

Receiving, inspection, storage, production, packaging, dispatch, information systems, people, and external transport form one system. Local optimisation must be tested against total performance.

4.3 Flow principle

Handling should support a clear and economical flow. Where possible, material should move progressively toward completion rather than repeatedly returning to earlier areas.

4.4 Unit-load principle

Materials should be consolidated into an appropriate unit load to reduce handling frequency. However, large unit loads can increase damage, ergonomic risk, equipment requirements, and inventory. The correct unit load balances handling efficiency with process and customer needs.

4.5 Gravity principle

Gravity can support movement through chutes, inclined conveyors, or flow racks. Its use must be controlled because uncontrolled movement can damage goods or create hazards.

4.6 Space-utilisation principle

Both floor and vertical space should be considered, subject to fire protection, structural loading, access, lighting, ventilation, maintenance, and emergency requirements.

4.7 Safety principle

The handling system must protect employees, visitors, products, equipment, and the environment. Risk assessment should address vehicle routes, lifting, pinch points, falling objects, battery charging, robotics, chemicals, and emergency access.

4.8 Standardisation and flexibility principles

Standard containers, pallets, interfaces, labels, and procedures can reduce complexity. At the same time, the system should avoid excessive dependence on a single dimension, technology, or route when future change is likely.

4.9 Mechanisation and automation principles

Mechanisation supplies physical assistance; automation enables control with limited direct human intervention. Both should be justified by process stability, volume, safety, quality, labour availability, return on investment, and life-cycle risk—not by novelty alone.

4.10 Life-cycle and environmental principles

Evaluation should include acquisition, installation, operation, maintenance, training, energy, replacement, disposal, and residual value. A low purchase price may produce a high total cost of ownership.

5. Layout Configurations and Their Strategic Fit

Product or line layout

Resources are arranged according to the sequence of operations. It is suitable for high volume and relatively low variety. Advantages include short travel, simple scheduling, low WIP, and ease of visual control. Limitations include low flexibility, vulnerability to bottlenecks, and disruption when a key machine fails.

Process or functional layout

Similar machines or activities are grouped together, such as all milling machines or all test laboratories. It suits low-to-medium volume and high variety. It provides routing flexibility and specialist supervision but usually creates longer travel, higher WIP, complex scheduling, and greater material-handling effort.

Fixed-position layout

The product remains in one location while people, materials, tools, and equipment move to it. Shipbuilding, aircraft assembly, construction, and large equipment installation commonly use this form. Planning must control access, staging, cranes, temporary utilities, and interference among trades.

Cellular layout

Machines are grouped to serve a product family. Cellular layouts can reduce travel and WIP while retaining some functional flexibility. Their performance depends on accurate product-family analysis, balanced workloads, and appropriate policies for exceptional jobs.

Hybrid and flexible layouts

Most modern facilities combine forms. A plant may use process departments for specialist work, cells for repetitive families, and line segments for final assembly. Reconfigurable layouts and modular utilities are increasingly important where product life cycles are short.

6. System Boundaries and Interfaces

A facilities study should state what is included and excluded. Important boundary choices include:

• site location versus internal layout;
• supplier transport versus receiving operations;
• dock operations versus storage;
• production movement versus finished-goods distribution;
• physical material flow versus information and control flow;
• normal operation versus peak demand and disruption scenarios;
• internal costs versus externalised social and environmental costs.

Interfaces are frequent sources of failure. Examples include the receiving dock–warehouse interface, warehouse–production interface, production–quality interface, and facility–transport carrier interface. Poorly defined interfaces cause duplicate checking, ambiguous ownership, waiting, missing data, and misplaced inventory.

A useful boundary statement identifies the system objective, inputs, outputs, constraints, decision variables, time horizon, and performance measures. For example, a warehouse project may seek to reduce order cycle time while maintaining accuracy and safety, subject to existing building columns, labour agreements, fire codes, budget limits, and seasonal demand.

7. Quantitative Foundations

7.1 Productivity

Productivity relates useful output to resources consumed:

The input may be labour hours, machine hours, floor area, energy, or a weighted combination. Units must be stated. If 1,200 acceptable units are produced using 300 labour-hours, labour productivity is:

Productivity is not identical to utilisation. A machine can be highly utilised while producing defective output or causing excessive WIP. A broader measure is multifactor productivity, in which output is compared with several inputs, although the method of valuing unlike inputs must be made explicit.

7.2 Flow and distance-weighted movement

A basic layout analysis estimates movement burden using flow multiplied by distance:

Here, Fᵢⱼ is the number of loads moved from department i to department j during a selected period, and Dᵢⱼ is the corresponding travel distance. If flow is measured in loads per day and distance in metres, the result is load-metres per day. This is a screening measure, not a complete cost model: it ignores load weight, congestion, handling method, vertical movement, risk, and empty travel.

For example, suppose 40 loads move 30 m between two areas and 20 loads move 50 m between another pair. The score is:

The measure can compare alternative layouts when flows and distance definitions are consistent.

7.3 Handling cost

A simplified variable handling-cost model is:

where Cₕ is estimated handling cost per period, Fᵢⱼ is load frequency, Dᵢⱼ is distance, and cᵢⱼ is cost per load-metre for the relevant method. The coefficient may incorporate labour, energy, equipment usage, and other variable costs. It should not be treated as constant if routes have different congestion, elevation, loading, or equipment requirements.

7.4 Capacity and bottlenecks

For a resource with effective available time Tₑ and processing time per unit t, ideal capacity is:

If 7.5 effective hours are available and processing requires 3 minutes per unit, then:

The calculation assumes stable processing time, no additional setup, and that the resource is available for the stated effective time. In practice, quality losses, downtime, changeovers, breaks, and variability reduce attainable output. The bottleneck is the resource with the smallest effective capacity relative to required workload; improving non-bottleneck capacity may not improve total throughput.

7.5 Little’s Law

For a stable system over an appropriate time interval:

Here, WIP is average work-in-process, throughput is average output per unit time, and flow time is average time in the system. Units must be consistent. If throughput is 100 units per day and average flow time is 2 days, average WIP is 200 units. The relationship is descriptive, not a promise that reducing WIP alone will reduce flow time; congestion, variability, and process discipline must also be addressed.

8. Relationship with Operations Strategy and Supply-Chain Performance

Operations strategy translates competitive priorities into process capabilities. Common priorities include cost, quality, speed, dependability, flexibility, innovation, resilience, and sustainability. Facilities planning gives these priorities physical form.

A cost-oriented operation may favour compact flow, standardised equipment, high utilisation, and low handling frequency. A responsiveness-oriented operation may require decoupling points, fast picking, modular workstations, accessible staging, and capacity buffers. A mass-customisation strategy may favour cellular or reconfigurable layouts, digital tracking, and postponement. A resilience strategy may deliberately retain alternative routes, spare capacity, multiple suppliers, or geographically distributed inventory, even when these choices reduce short-term efficiency.

Facilities performance affects the supply chain through several mechanisms:

• Lead time: Travel, waiting, storage, and congestion increase order-cycle time.
• Reliability: Poor access, unclear locations, and single points of failure cause missed schedules.
• Inventory: Long or uncertain internal flow encourages safety stock and larger batches.
• Quality: Damage, contamination, mix-ups, and incorrect staging create defects and returns.
• Cost: Handling, labour, energy, space, maintenance, and expediting contribute to total landed cost.
• Visibility: Scanning, location discipline, and integrated systems improve inventory accuracy.
• Sustainability: Layout affects travel distance, energy use, packaging, emissions, and waste.

A supply-chain perspective also challenges the assumption that every movement should be eliminated. Some movement is necessary to create value or meet customer requirements. The objective is to eliminate unnecessary movement and make necessary movement safe, predictable, economical, and visible.

9. A Structured Facilities-Planning Process

A robust planning process generally includes the following stages:

1. Define purpose and governance. Establish sponsors, decision rights, constraints, budget, and success measures.
2. Collect and validate data. Analyse products, volumes, routings, demand variation, equipment, staffing, inventory, distances, incidents, and future scenarios.
3. Develop activity relationships. Identify which departments need proximity, separation, shared services, security, environmental control, or special access.
4. Generate alternatives. Develop block layouts and handling concepts rather than prematurely selecting equipment.
5. Evaluate alternatives. Compare flow, capacity, cost, safety, ergonomics, flexibility, sustainability, resilience, and implementation risk.
6. Detail the preferred concept. Specify aisles, storage, docks, equipment, controls, utilities, pedestrian routes, and operating rules.
7. Validate. Use pilots, mock-ups, simulation, digital models, stakeholder reviews, and hazard assessments.
8. Implement in phases. Protect production continuity and define commissioning, training, data migration, and contingency arrangements.
9. Measure and improve. Compare actual performance with the business case and revise standards as conditions change.

Multi-criteria decision analysis can support evaluation. Criteria should be defined, weighted transparently, and tested for sensitivity. A high numerical score does not replace engineering judgement, legal compliance, or worker consultation.

10. Technology, Digitalisation, and AI

Contemporary facilities use warehouse-management systems, manufacturing-execution systems, barcode and radio-frequency identification, automated storage and retrieval systems, autonomous mobile robots, conveyors, digital twins, sensors, and real-time dashboards. These technologies can improve traceability, routing, inventory accuracy, and decision speed.

AI may assist with demand forecasting, slotting, route selection, anomaly detection, predictive maintenance, and simulation-based design. Its value depends on data quality, process stability, explainability, cybersecurity, and human oversight. An algorithm trained on historical flows may reproduce past congestion or favour high-volume products while neglecting safety and exceptional orders. AI should therefore support—not replace—responsible operational judgement.

Automation also changes work. Organisations should assess training, job redesign, accessibility, surveillance, privacy, and the distribution of benefits and risks. Cybersecurity controls are essential where connected handling equipment can affect physical safety or production continuity.

11. Safety, Ethics, Regulation, and Sustainability

Compliance with applicable occupational safety, building, fire, accessibility, environmental, transport, and labour requirements is a minimum condition, not an optional design feature. Requirements vary by jurisdiction and industry; planners must consult current authoritative standards and competent professionals.

Important controls include marked pedestrian routes, segregation of vehicles and people, guarding, emergency stops, rack inspection, load limits, safe lifting practices, ventilation, lighting, fire egress, spill response, lockout/tagout, and documented training. Ergonomic design should consider reach, posture, repetition, force, vibration, and cognitive workload.

Ethical planning includes meaningful worker participation. Operators often understand real flow, workarounds, hazards, and maintenance constraints better than a design team working from drawings. Consultation should be substantive rather than symbolic. Sustainability analysis should include energy, refrigerants, packaging, construction materials, waste, transport, noise, and end-of-life disposal. A design that transfers environmental harm to suppliers, carriers, or neighbouring communities is not genuinely sustainable.

12. Illustrative Case: Reconfiguring an Electronics Assembly Facility

Background

The following is a fictional illustrative case. An electronics manufacturer produces four product families in a 6,000 m² facility. Demand has become more varied, while annual volume has remained approximately stable. The existing process layout separates surface-mount production, manual insertion, testing, packaging, and finished-goods storage. Materials frequently travel between departments, and urgent orders are moved through informal priority routes.

Problem

The company experiences long order lead times, excess WIP, repeated forklift movements, and occasional component shortages at assembly stations. A proposed solution is to install a large automated storage and retrieval system. However, management is uncertain whether storage automation addresses the principal constraint.

Analysis

A four-week study maps routings, quantities, distances, waiting, shortages, defects, and safety observations. The load-distance analysis shows that the greatest movement is not between raw-material storage and production, but between testing and rework, followed by repeated returns to inspection. Interviews reveal that test failures are physically moved to a remote rework area, where repair status is not visible in the production system.

The existing layout also mixes pedestrian routes with forklifts near the test department. Although storage utilisation is high, several aisles are blocked during peak periods. Applying Little’s Law, average throughput is 800 units per day and average flow time is 3 days, implying approximately 2,400 units of average WIP. The target is a 2-day flow time at the same throughput, which would correspond to approximately 1,600 units of WIP if the system remains stable.

Approach and solution

The project team rejects a technology-first decision and develops three alternatives. The preferred concept creates two product-family cells for final assembly, locates controlled rework beside testing, introduces point-of-use component supermarkets, separates pedestrian and vehicle routes, and uses barcode confirmation at issue and completion points. A smaller automated storage module is retained only for high-value, high-frequency components. Standard unit loads and replenishment times are defined, and a visual escalation process is introduced for shortages.

The design is implemented in phases during planned shutdowns. Operators participate in mock-ups, and a pilot cell is measured before full conversion. Metrics include flow time, WIP, first-pass yield, material shortages, travel distance, record accuracy, near misses, and labour productivity.

Outcome

In the illustrative scenario, average flow time falls from 3.0 to 2.2 days, WIP falls from approximately 2,400 to 1,760 units, and material-shortage incidents decline substantially. The result is not attributed to automation alone. It arises from better product-family flow, visible rework, controlled replenishment, safer routes, and improved information accuracy.

Learning points

1. The apparent storage problem may be a flow and information problem.
2. A layout should be designed around actual product families and exceptions.
3. Reducing distance is valuable, but reducing waiting and rework movement may be more important.
4. Automation should solve a defined problem and be evaluated over its life cycle.
5. Worker participation improves both safety and operational validity.

Challenges and Limitations

Facilities plans are affected by uncertain demand, inaccurate master data, changing products, hidden informal practices, construction constraints, capital limits, and organisational resistance. Analytical models often simplify congestion, human behaviour, variability, and disruption. A layout that performs well at average demand may fail during peaks. Simulation can explore alternatives, but its conclusions are only as credible as its assumptions and input data.

Another limitation is the tendency to measure what is easy: distance, utilisation, or equipment cost. Important outcomes such as fatigue, resilience, learning, accessibility, and community impact can be underrepresented. Postgraduate practitioners should therefore combine quantitative analysis with observation, stakeholder engagement, scenario testing, and critical judgement.

Best-Practice Checklist

Before approving a facilities or handling design, ask:

• Is the system boundary explicit?
• Are product, volume, routing, variability, and future scenarios validated?
• Does the design support the stated operations strategy?
• Are flow, capacity, WIP, quality, safety, and resilience considered together?
• Have people, information, equipment, and material interfaces been mapped?
• Are life-cycle cost and sustainability included?
• Have workers, maintenance, safety, IT, suppliers, and carriers participated?
• Has the design been tested under normal, peak, failure, and recovery conditions?
• Are implementation, training, governance, and continuous-improvement responsibilities clear?

Chapter Summary

Facilities planning determines how physical resources are located, related, sized, and developed to support organisational objectives. Material handling manages the movement, storage, protection, control, and associated information of materials and products. Both are system disciplines: their effects extend from suppliers and receiving through production, storage, dispatch, customers, and recovery processes.

Layout choice should fit volume, variety, routing, product characteristics, technology, and operations strategy. Product, process, fixed-position, cellular, and hybrid layouts each involve distinct benefits and risks. The principles of planning, systems thinking, flow, unit loads, space utilisation, safety, standardisation, flexibility, automation, life-cycle cost, and sustainability provide a practical foundation for design.

Basic measures such as productivity, load-distance, handling cost, capacity, bottleneck analysis, and Little’s Law support evaluation, but none is sufficient alone. Facilities decisions influence lead time, inventory, quality, reliability, cost, visibility, resilience, and environmental performance throughout the supply chain. Effective practice combines data, engineering analysis, worker knowledge, digital tools, regulatory compliance, ethical governance, and continuous improvement.

Key Terms

Facilities planning: Process of determining the location, configuration, capacity, relationships, and future development of physical resources.

Facilities layout: Physical arrangement of resources and activity areas within a facility.

Material handling: Movement, storage, protection, control, and information management of materials and products.

Flow: Movement of materials, people, information, or products between activities.

Throughput: Quantity of acceptable output completed per unit of time.

Work-in-process: Inventory currently within a production or service process.

Unit load: Quantity consolidated and handled as one object.

Load-distance score: Sum of movement frequency multiplied by travel distance.

Product layout: Arrangement based on the sequence of operations.

Process layout: Arrangement that groups similar functions or equipment.

Fixed-position layout: Arrangement in which the product remains stationary.

Cellular layout: Arrangement that groups resources for a product family.

Bottleneck: Resource constraining the effective capacity of a system.

Productivity: Useful output divided by resource input.

Capacity: Maximum attainable output under stated resource and time conditions.

Ergonomics: Design of work and equipment to fit human capabilities and limitations.

Cross-docking: Transfer from inbound to outbound movement with minimal storage.

Resilience: Ability to withstand, adapt to, and recover from disruption.

Life-cycle cost: Total cost across acquisition, operation, maintenance, and disposal.

Digital twin: Digital representation used to monitor, analyse, or simulate a physical system.

Review Questions

Short Answer Questions

1. Define facilities planning and explain why it is broader than drawing a floor plan.
2. What is the difference between a product layout and a process layout?
3. State four principles of material handling.
4. Define throughput, WIP, and flow time.
5. Why must system boundaries be made explicit in a facilities study?

Long Answer Questions

1. Explain how facilities planning supports cost, quality, speed, flexibility, and resilience as operations-strategy priorities.
2. Compare product, process, fixed-position, and cellular layouts, including their appropriate applications and limitations.
3. Discuss the relationship between material handling, inventory, lead time, and supply-chain performance.
4. Explain why automation should be evaluated using a life-cycle and systems perspective.
5. Describe a structured facilities-planning process from problem definition through implementation and continuous improvement.

Analytical / Application Questions

1. A facility moves 60 loads per day over 25 m and 30 loads per day over 40 m. Calculate the load-distance score and explain two limitations of using this measure alone.
2. A production resource has 7 effective hours per day and requires 4 minutes per unit. Calculate its ideal daily capacity. Identify assumptions that could make actual capacity lower.
3. A facility produces 500 units per day and has an average flow time of 2.5 days. Use Little’s Law to estimate average WIP, then discuss why a layout change might fail to reduce WIP even if travel distance decreases.

Multiple Choice Questions with Answers

Question 1

Which statement best defines facilities planning?

A. Selecting only the cheapest material-handling equipment

B. Determining the location, configuration, capacity, relationships, and development of physical resources

C. Scheduling employees for a single production shift

D. Calculating the selling price of finished goods

Correct Answer: B. Determining the location, configuration, capacity, relationships, and development of physical resources

Question 2

Which layout is generally most suitable for high volume and low variety?

A. Product or line layout

B. Process or functional layout

C. Fixed-position layout

D. Random-storage layout

Correct Answer: A. Product or line layout

Question 3

A facility moves 40 loads over 30 m and 20 loads over 50 m each day. What is its load-distance score?

A. 1,200 load-metres per day

B. 1,600 load-metres per day

C. 2,200 load-metres per day

D. 3,000 load-metres per day

Correct Answer: C. 2,200 load-metres per day

Question 4

If throughput is 100 units per day and average flow time is 2 days, what is average WIP under Little’s Law?

A. 50 units

B. 100 units

C. 200 units

D. 500 units

Correct Answer: C. 200 units

Question 5

Which principle recommends designing receiving, storage, production, information, and dispatch as an integrated system?

A. Gravity principle

B. Systems principle

C. Fixed-position principle

D. Maximum-utilisation principle

Correct Answer: B. Systems principle

Question 6

A process has 7.5 effective hours per day and requires 3 minutes per unit. What is its ideal capacity?

A. 100 units per day

B. 125 units per day

C. 150 units per day

D. 225 units per day

Correct Answer: C. 150 units per day

Question 7

Which statement about space utilisation is most accurate?

A. Higher utilisation is always better

B. Space utilisation should be considered together with access, safety, congestion, and flexibility

C. Vertical space is never relevant

D. Space utilisation replaces capacity analysis

Correct Answer: B. Space utilisation should be considered together with access, safety, congestion, and flexibility

Question 8

What is a principal limitation of a load-distance measure?

A. It cannot compare alternative layouts

B. It ignores all movement frequency

C. It may ignore congestion, load weight, risk, and handling method

D. It can be used only for service organisations

Correct Answer: C. It may ignore congestion, load weight, risk, and handling method

Question 9

In the illustrative electronics case, what was identified as a major source of movement?

A. Finished-goods export transport

B. Movement between testing and remote rework

C. Employee commuting

D. Movement of office furniture

Correct Answer: B. Movement between testing and remote rework

Question 10

Why should AI and automation in material handling receive human oversight?

A. Because technology cannot process any operational data

B. Because algorithms may reproduce data biases and connected equipment can create safety or continuity risks

C. Because automation always increases labour requirements

D. Because digital systems cannot support traceability

Correct Answer: B. Because algorithms may reproduce data biases and connected equipment can create safety or continuity risks