Facility Design, Layout and Capacity Planning

Introduction

A warehouse is not merely a building in which inventory is placed. It is an operating system that coordinates material flow, information, people, equipment, safety controls and service commitments. Facility design determines the physical envelope and infrastructure; layout determines the relative position of activities; capacity planning determines whether the facility can meet present and future demand without excessive cost or congestion.

Poor design creates long travel distances, double handling, unsafe intersections, inaccurate inventory records and avoidable delays. Good design supports a logical flow from receiving to storage, replenishment, picking, staging and dispatch. It also preserves flexibility: demand patterns change, product ranges expand, automation is introduced and contingency requirements emerge.

This chapter develops an integrated approach to warehouse design. It combines flow analysis, adjacency planning, space and cube utilization, throughput estimation, slotting, ergonomics, scalability and contingency capacity. The emphasis is managerial as well as technical: a mathematically efficient layout may still fail if it is unsafe, difficult to supervise or unable to adapt.

Learning Objectives

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

1. Explain the relationship between facility design, layout and warehouse performance.
2. Design receiving, storage, picking, staging and dispatch zones using flow principles.
3. Estimate space, cube, throughput and capacity requirements using defensible assumptions.
4. Apply adjacency analysis and slotting logic to layout decisions.
5. Evaluate ergonomics, safety, scalability and contingency capacity.
6. Critically assess technology-enabled and alternative warehouse designs.
7. Develop and justify a facility concept for a practical operating situation.

1. The Design Problem in Context

Warehouse design begins with the operating promise. Relevant questions include:

• What service level and order cycle time are required?
• What products are handled, in what unit loads and packaging forms?
• What are the inbound and outbound volume profiles?
• Which activities are continuous, periodic or seasonal?
• What regulations apply to fire protection, hazardous materials, food, pharmaceuticals, security and accessibility?
• What changes are expected in demand, product variety, automation and channel mix?

The design must reconcile competing objectives. High density can reduce building cost but increase travel and retrieval time. Large staging areas protect dispatch reliability but consume space. Dedicated locations simplify control but reduce flexibility. Automation can improve throughput and accuracy but increases capital dependence and maintenance requirements.

A useful design principle is separation without unnecessary isolation. Activities that conflict operationally—such as pedestrians and powered trucks, inbound and outbound traffic, or food and hazardous chemicals—must be separated. Activities that exchange frequent information or materials should be close enough to reduce travel and handling.

2. Warehouse Flow and Functional Zones

The principal warehouse zones are:

• Receiving: unloading, document verification, inspection, counting, identification and system receipt.
• Inbound quality or quarantine: temporary control of material awaiting inspection, testing or disposition.
• Reserve storage: bulk inventory held for replenishment or less frequent access.
• Forward-pick area: locations from which customer or production orders are picked.
• Value-added services: labelling, kitting, repacking, postponement or light assembly.
• Dispatch staging: consolidation, checking, loading-sequence preparation and route staging.
• Dispatch/loading: final verification and transfer to carriers or internal users.
• Support areas: offices, battery charging, maintenance, waste handling, welfare facilities and emergency access.

The basic flow may be straight-through, U-shaped, modular or hybrid. A straight-through flow places receiving and dispatch at opposite ends and can reduce cross-traffic where inbound and outbound movements are distinct. A U-shaped flow places them on the same side; this can share docks, labour and supervision and is often useful where the building has a constrained frontage. A hybrid layout may be best where product families require different handling paths.

Figure: A simplified warehouse flow showing the principal material path and replenishment loop.

Flow design should distinguish physical flow from information flow. A receipt may physically move to quarantine while its data moves through an enterprise resource planning or warehouse management system. A layout that appears efficient physically can fail if barcode capture, exception handling or inventory status changes are poorly positioned.

3. Layout Planning and Adjacency Analysis

Layout planning is the systematic allocation of space and relationships among functions. It should begin with a process map rather than with a scaled drawing of racks. The design team identifies activities, material exchanges, travel frequency, safety constraints and required control points.

3.1 Activity relationship analysis

An adjacency matrix records how desirable it is for two departments or zones to be close. A common qualitative scale is:

The rating must be supported by a reason, such as material flow, communication, supervision, safety or contamination control. The matrix is not a substitute for engineering design; it is a structured way to expose assumptions.

A quantitative extension assigns a closeness weight w_ij and an estimated distance d_ij between activities i and j. A simple load-distance objective is:

Here, f_ij is the expected number of trips or material movements between activities i and j during the planning period, and d_ij is the travel distance per movement in metres. The result has units of movement-metres. If movement cost differs by mode, a cost-weighted version uses c_ij per movement:

These models assume that flows and distances are estimated consistently and that travel is an adequate proxy for cost. They do not capture congestion, vertical travel, handling difficulty, risk or one-way aisle restrictions unless those factors are incorporated into the inputs.

3.2 Layout constraints

A workable layout must account for column grids, clear height, floor loading, dock geometry, fire exits, sprinkler clearance, drainage, lighting, ventilation, security and utilities. Aisle width depends on the equipment's turning radius, load dimensions, operating method and required clearance—not on a universal rule. Manufacturer specifications, local regulations and a risk assessment should determine final dimensions.

Traffic management should establish pedestrian routes, vehicle routes, crossing controls, speed limits, visibility zones and charging or refuelling areas. Emergency exits must remain unobstructed. Fire compartments and hazardous-material segregation can override the apparent efficiency of a purely flow-based layout.

4. Space, Cube and Capacity Planning

Capacity planning converts demand and operating policy into required locations, equipment, labour and time. It must distinguish at least four quantities:

1. Gross building area: the total floor footprint.
2. Usable or net operational area: space available after structural and protected exclusions.
3. Storage footprint: floor area occupied by storage equipment and required operating clearance.
4. Inventory capacity: the number of pallets, cartons, totes, cubic metres or other units that can be stored under stated rules.

4.1 Inventory and safety stock

For a continuously reviewed item with approximately stable demand and lead time, a basic reorder point is:

where d is average demand per time unit, L is lead time in the same time unit, and SS is safety stock, all expressed in inventory units. This is a planning relationship, not a universal policy. Variable demand and lead time require a service-level model, and intermittent demand may require different methods.

If demand during lead time is approximately normally distributed and lead-time demand standard deviation is σ_DL, safety stock for a cycle-service target is:

where z is the standard-normal value associated with the selected probability of no stockout during lead time. The approximation assumes a suitable distribution, stable measurement period and independence assumptions appropriate to the calculation. If demand and lead time are independent, with demand standard deviation σ_d per period and lead-time standard deviation σ_L, one commonly used approximation is:

with L and d interpreted as mean lead time and mean demand per period. Correlation, seasonality and forecast error may make this approximation unsuitable.

4.2 Location requirement

If peak inventory is [[MATH{I_peak}]] units and each storage location holds [[MATH{q}]] units, the theoretical number of locations is:

In practice, the required installed locations should be rounded upward and adjusted for product compatibility, accessibility, damaged stock, empty-location policy, inspection holds and operating reserve. If a utilization ceiling [[MATH{u_max}]] is imposed, a planning estimate is:

where [[MATH{u_max}]] is expressed as a decimal. This does not mean every location is physically full; it protects availability and reduces reshuffling.

4.3 Area and cube utilization

Storage cube is the volume occupied by inventory, while building cube is the usable volume within the building envelope. Cube utilization is:

Area utilization is similarly:

The denominators must be defined consistently. Including unusable voids in one denominator and excluding them in another produces misleading comparisons. High cube utilization is not automatically desirable: excessive density may obstruct access, increase damage and reduce throughput.

Worked Example 1: Storage locations and cube

A distribution centre expects peak stock of 3,600 cartons. Each carton location holds 12 cartons. Management limits average location occupancy to 85% to preserve flexibility. Each carton occupies 0.045 m³, and usable building volume is 2,800 m³.

The theoretical locations are:

Nₜ = 3,600 ÷ 12 = 300 locations

The planning requirement is:

Nₚ = 3,600 ÷ (12 × 0.85) = 352.94

Thus, at least 353 compatible locations are required, before adding special locations for quarantine, damaged goods or future growth. Inventory volume is:

3,600 × 0.045 = 162 m³

Cube utilization is:

(162 ÷ 2,800) × 100 = 5.79%

The low percentage does not necessarily indicate poor design because aisles, clearances, structural constraints and access volume are essential. It does indicate that carton dimensions, storage height and the definition of usable volume should be investigated before investment decisions are made.

5. Throughput and Workload Capacity

Storage capacity and process capacity are different. A building can hold sufficient inventory but fail at receiving or dispatch during a peak hour. Throughput planning should examine pallets, cartons, order lines, orders, vehicles and handling tasks by time interval.

For a process with [[MATH{n}]] parallel identical resources, effective capacity over a period is:

where [[MATH{r}]] is nominal processing rate per resource, [[MATH{t}]] is available time, [[MATH{a}]] is availability as a decimal, and [[MATH{e}]] is an effectiveness factor representing performance against nominal rate. The product has units of completed units per period. Availability and effectiveness should not double-count the same losses.

Required resources can be estimated as:

where [[MATH{W}]] is workload in completed units during the planning period. The result must be rounded upward, then checked against space, labour, shift, maintenance and congestion constraints.

For labour, workload may be expressed in standard minutes:

where [[MATH{q_i}]] is the quantity of task [[MATH{i}]] and [[MATH{s_i}]] is standard time per unit in minutes. The equation assumes standard times are measured consistently and that setup, walking, meetings, replenishment and exception work are either included in [[MATH{s_i}]] or added separately.

Worked Example 2: Dock and picking capacity

A facility must receive 480 pallets during a 10-hour shift. Each dock door can process 6 pallets per hour, with availability of 90% and effectiveness of 85%.

Effective capacity per door is:

6 × 10 × 0.90 × 0.85 = 45.9 pallets per shift

Required doors are:

480 ÷ 45.9 = 10.46

Therefore, 11 doors are required under these assumptions. The result should be tested against appointment variability, vehicle dwell time, yard capacity and the possibility that all doors cannot be used simultaneously.

6. Slotting Logic

Slotting assigns products to locations to improve travel, productivity, safety and space use. A sound slotting policy considers more than annual demand. Important variables include:

• pick frequency and order-line frequency;
• cube, weight and case quantity;
• demand variability and seasonality;
• affinity with other products ordered together;
• replenishment frequency;
• expiry, batch and serial-control requirements;
• value, theft risk and hazardous properties;
• ergonomic limits and equipment compatibility.

A basic policy places high-frequency, small and ergonomically suitable items in accessible forward locations. Heavy or bulky products are kept within safe lifting zones or handled mechanically. Fragile, regulated or security-sensitive goods require controlled locations even if their travel distance is greater.

A velocity classification such as ABC is useful but incomplete. Class A may be defined by cumulative order-line contribution, not merely unit volume. A product ordered in small quantities but on many orders can deserve a prime pick position. Co-location analysis can identify items frequently ordered together. However, excessive co-location may cause congestion, so affinity must be balanced against aisle capacity and replenishment interference.

Slotting is a continuing control cycle: collect data, classify demand, evaluate constraints, simulate or trial changes, implement, measure and reslot. Location master data must include dimensions, weight, handling unit, compatibility and replenishment parameters. Incorrect master data can make an apparently intelligent slotting algorithm unsafe.

7. Ergonomics, Safety and Human Factors

Ergonomic design reduces injury, fatigue, errors and absenteeism. Design considerations include reach distance, lifting height, load weight, repetition, twisting, visual displays, floor condition, noise, temperature, lighting and recovery time. Frequently picked items should generally be positioned in an accessible “golden zone,” but exact limits depend on load characteristics, posture, worker population and applicable ergonomic guidance.

Material-handling equipment should be selected after analysing load, travel distance, floor condition, rack geometry, aisle width, charging requirements and operator competence. Safety is not achieved by equipment selection alone. It requires traffic segregation, inspections, training, maintenance, load-rating controls, collision protection and disciplined housekeeping.

Human factors also include cognitive workload. Clear labels, consistent location logic, visual management, scan confirmation and exception procedures reduce dependence on memory. Productivity targets must not encourage unsafe speed or conceal quality failures.

8. Scalability and Contingency Capacity

A facility should be designed for a range of operating states rather than one average day. Scenario planning may include base demand, peak season, growth, product proliferation, supplier disruption, e-commerce surges, labour shortage, equipment failure and disaster recovery.

Capacity can be created through:

• modular rack bays and adjustable shelving;
• reserve floor zones that can be converted to storage or staging;
• expandable dock, power and data infrastructure;
• flexible labour and cross-training;
• temporary overflow agreements with third-party logistics providers;
• alternative carriers and emergency receiving procedures;
• duplicate critical equipment or manual fallback methods.

Contingency capacity should be explicit. If peak inventory is 4,000 pallet positions and policy requires 10% contingency, the nominal planning requirement is 4,400 positions. The contingency percentage should be justified by demand uncertainty, replenishment variability and recovery time—not chosen as an arbitrary universal standard.

A useful distinction is between capacity cushion and redundancy. Capacity cushion is unused capability available for variation. Redundancy is duplicated capability that permits operation after a failure. A spare forklift may provide redundancy; an additional open shift may provide capacity cushion. Both have costs and should be evaluated against service and risk consequences.

9. Technology and Data-Enabled Design

Warehouse management systems support location control, directed put-away, replenishment, wave or batch planning, cycle counting and performance measurement. Radio-frequency identification, dimensioning systems, pick-to-light, voice systems, conveyor systems, autonomous mobile robots and automated storage and retrieval systems can change the required layout and labour model.

Technology should follow process requirements. Automation is attractive where volume, consistency, labour scarcity and return on investment justify it. It may be inappropriate where product variety is extreme, demand is unstable or exception work dominates. A digital simulation or discrete-event model can test travel, queues, dock appointments and resource interactions before construction, but simulation results are only as credible as the data and assumptions supplied.

Artificial intelligence can assist demand forecasting, slotting recommendations, anomaly detection and predictive maintenance. Governance is essential: managers should validate data quality, monitor model drift, preserve human override and document safety-critical decisions. An algorithm should not silently relocate regulated or incompatible products merely because a distance objective improves.

10. Performance Measures and Governance

Layout performance should be measured as a balanced system. Useful indicators include:

• dock-to-stock time;
• order-cycle time;
• lines or cases picked per labour hour;
• travel distance per order line;
• inventory accuracy and location accuracy;
• space and cube utilization;
• replenishment frequency and stockouts in forward pick;
• damage, near misses and recordable incidents;
• vehicle dwell time and dispatch departure reliability;
• energy use and cost per unit handled.

Metrics require definitions. For example, “order accuracy” must state whether it measures lines, units or complete orders and how substitutions and short shipments are treated. A single utilization metric can encourage harmful behaviour if it rewards filling space while service deteriorates.

Governance includes approval of layout changes, rack inspections, load-rating documentation, master-data ownership, change control, access control, audit trails and periodic capacity reviews. Regulatory duties may include occupational safety, fire protection, environmental controls, dangerous-goods segregation, food or pharmaceutical traceability, and accessibility requirements. Applicable law and standards vary by jurisdiction; design teams must consult competent authorities rather than rely on generic textbook dimensions.

11. Illustrative Case: Redesigning a Regional Spare-Parts Warehouse

Background

The following is a fictional illustrative case. A regional spare-parts distributor operates a 4,800 m² warehouse serving industrial customers. It handles 2,400 active stock-keeping units, receives supplier deliveries in the morning and dispatches urgent orders throughout the day. Its existing layout has receiving and dispatch docks on opposite sides, but slow-moving reserve stock occupies prime locations near packing. Pickers cross forklift routes, and urgent orders frequently wait for replenishment.

Problem

Annual order lines have grown by 28% while available floor area has not changed. The facility reports 96% inventory accuracy but only 89% same-day dispatch performance. Congestion occurs between 14:00 and 16:00, when carrier collection overlaps with replenishment.

Analysis

A six-week study categorizes movement by origin, destination, time and equipment. The load-distance analysis shows that reserve-to-pick replenishment represents 42% of internal travel, while receiving-to-quarantine travel is unnecessarily long. ABC analysis based on order lines identifies 310 high-frequency items. Product dimensions reveal that 18% of locations are unsuitable because master data understates carton height.

An adjacency review rates receiving–inspection, inspection–reserve, reserve–replenishment and picking–packing as “especially important.” It rates pedestrian offices–truck aisles as undesirable. A time-phased throughput analysis indicates that dispatch staging, not rack capacity, is the principal peak constraint.

Approach and solution

The design team creates a U-shaped operational flow. Receiving, inspection and quarantine are grouped on the east side; dispatch staging and loading are grouped nearby but separated by controlled lanes. A central pedestrian spine connects offices and welfare areas without crossing forklift travel. High-frequency items move to a forward-pick module adjacent to packing. Reserve storage is reorganized by compatible product family, and replenishment is scheduled before the dispatch peak.

The team installs location validation at put-away, corrects item dimensions, introduces carton-flow shelving for selected fast movers and marks a flexible overflow zone. It retains manual picking because order profiles are variable and the financial case for full automation is weak. A simulation tests peak staging queues and confirms that two additional temporary staging lanes are needed during the afternoon window.

Outcome

After a controlled three-month implementation, average picker travel per order line falls by 19%, same-day dispatch rises to 97%, and replenishment-related order delays decline substantially. Inventory accuracy initially falls during the transition, then improves after location verification and cycle-count rules are stabilized. The additional staging lanes occupy space that could otherwise hold reserve stock, but management accepts the trade-off because dispatch reliability is strategically more valuable.

Learning points

The case demonstrates that capacity is multidimensional: rack locations were not the binding constraint. It also shows why slotting requires accurate dimensions, why adjacency must include safety and information flows, and why a flexible manual solution may be preferable to expensive automation. Improvements should be phased, measured and governed rather than assumed from a drawing alone.

12. Design Procedure and Best Practices

A disciplined design project can follow these steps:

1. Define service objectives, product classes, operating hours and regulatory constraints.
2. Gather reliable demand, inventory, order-line, handling-unit and time-stamped movement data.
3. Map current-state physical and information flows.
4. Identify safety, quality, contamination, security and accessibility constraints.
5. Estimate peak workload, storage locations, staging, labour and equipment requirements.
6. Develop adjacency alternatives and evaluate load-distance, risk and supervision implications.
7. Produce scaled layout concepts with clearances, traffic routes and emergency provisions.
8. Test slotting, replenishment and dispatch waves using simulation, spreadsheet models or controlled pilots.
9. Evaluate life-cycle cost, resilience, energy, maintenance and change capacity—not only construction cost.
10. Implement in phases with master-data controls, training, signage and performance baselines.
11. Review actual performance and reslot, rebalance or expand as evidence requires.

The strongest designs are evidence-based, safe, observable and reversible where possible. They treat the warehouse as a socio-technical system in which people, equipment, software, inventory and rules interact.

Challenges and Limitations

Warehouse design models simplify reality. Average flow can hide hourly peaks; nominal equipment rates can ignore congestion; utilization measures can reward overfilling; and load-distance models can omit safety and service consequences. Forecast uncertainty makes long-term capacity estimates fragile. Building constraints may prevent the theoretical optimum. Labour availability, industrial relations, climate, power reliability and supplier behaviour may also dominate design outcomes.

For these reasons, results should be expressed with assumptions and sensitivity analysis. Designers should test what happens if volume rises, order lines become smaller, a dock is unavailable, labour productivity falls or a product becomes regulated. A layout is a managerial commitment under uncertainty, not a claim that the future is known.

Chapter Summary

Facility design establishes the building, infrastructure and operating envelope; layout positions activities and controls movement within that envelope; capacity planning matches resources to inventory and workload over time. Effective warehouse design begins with the service promise and product-flow requirements, then integrates receiving, inspection, reserve storage, forward picking, replenishment, value-added work, staging and dispatch.

Adjacency analysis and load-distance reasoning help compare alternatives, but safety, regulation, supervision and information flow must also be considered. Space capacity requires clear definitions of gross area, usable area, storage footprint and inventory locations. Cube and area utilization are useful indicators only when denominators and access requirements are explicit. Throughput capacity depends on workload, resource rate, available time, availability and effectiveness, while peak-hour analysis is essential because average volume conceals congestion.

Slotting should combine velocity, cube, weight, affinity, replenishment, compliance and ergonomics. Scalable facilities use modular infrastructure, flexible labour and explicit contingency capacity. Technology and AI can improve control and decision-making, but they require sound master data, validation, cybersecurity, human oversight and change governance. Finally, warehouse design should be reviewed through balanced measures covering service, cost, productivity, space, accuracy, safety and resilience.

Key Terms

Adjacency analysis: Structured evaluation of which activities should be near or separated from one another.

Capacity cushion: Deliberately unused capability reserved for variation or growth.

Cube utilization: Occupied inventory volume divided by usable building volume.

Dispatch staging: Area where completed orders are consolidated and prepared for loading.

Forward-pick area: Accessible locations used for routine order picking.

Load-distance model: Evaluation based on movement frequency multiplied by travel distance.

Material flow: Physical movement of goods through warehouse activities.

Quarantine area: Controlled location for goods awaiting inspection or disposition.

Reserve storage: Bulk storage used to replenish forward-pick locations.

Replenishment: Movement of stock from reserve storage to a picking location.

Service level: Defined performance commitment, such as order availability or dispatch timeliness.

Slotting: Assignment of products to storage or picking locations.

Space utilization: Use of available floor area or storage footprint relative to a defined denominator.

Staging: Temporary organization of goods before the next process or transport movement.

Throughput: Quantity processed during a specified period.

Utilization ceiling: Maximum planned occupancy used to preserve accessibility and flexibility.

Value-added service: Additional activity such as kitting, labelling, repacking or postponement.

U-shaped flow: Layout in which receiving and dispatch are located on the same general side of a facility.

Review Questions

Short Answer Questions

1. Distinguish facility design from warehouse layout and capacity planning.
2. What purposes do receiving, reserve storage, forward picking and dispatch staging serve?
3. Define cube utilization and explain why its denominator must be specified.
4. Identify four variables that should influence slotting decisions.
5. What is the difference between capacity cushion and redundancy?

Long Answer Questions

1. Explain how a warehouse can be designed using physical flow, information flow and adjacency analysis.
2. Discuss the assumptions and limitations of load-distance models in layout planning.
3. Describe a systematic method for estimating storage locations, process capacity and contingency capacity.
4. Evaluate the role of ergonomics, traffic management and regulatory controls in warehouse design.
5. Critically assess when automation or AI should—and should not—be introduced into warehouse operations.

Analytical / Application Questions

1. A warehouse expects peak inventory of 5,000 cases. Each location holds 20 cases, and planned average occupancy is limited to 80%. Calculate the minimum planning locations and explain what additional locations or zones may be required.
2. A picking process must complete 1,200 order lines in an 8-hour shift. Each picker processes 25 lines per hour, availability is 90% and effectiveness is 80%. Estimate the required number of pickers and identify practical assumptions that should be checked.
3. Design an alternative layout for a facility with high morning receiving, high afternoon dispatch, fragile products and pedestrian–vehicle conflicts. Justify zone placement, flow direction, slotting policy, staging capacity and contingency arrangements.

Multiple Choice Questions with Answers

Question 1

Which activity normally follows receiving when goods require verification before being released to stock?

A. Dispatch loading

B. Inspection or quarantine

C. Cycle counting of finished orders

D. Carrier invoicing

Correct Answer: B. Inspection or quarantine

Question 2

In a load-distance model, what does fᵢⱼ represent?

A. Floor area between departments i and j

B. Forklift capacity between departments i and j

C. Expected movement frequency between activities i and j

D. Fire rating of the route between activities i and j

Correct Answer: C. Expected movement frequency between activities i and j

Question 3

Peak inventory is 2,400 units, each location holds 10 units, and planned occupancy is 80%. How many planning locations are required?

A. 192

B. 240

C. 300

D. 3,000

Correct Answer: C. 300

Question 4

Which statement best describes cube utilization?

A. Inventory value divided by annual sales value

B. Occupied inventory volume divided by usable building volume

C. Number of orders divided by number of employees

D. Used dock hours divided by available labour hours

Correct Answer: B. Occupied inventory volume divided by usable building volume

Question 5

A process has two resources, each nominally processing 8 units per hour for 6 hours. Availability is 90% and effectiveness is 75%. What is the effective capacity?

A. 43.2 units

B. 64.8 units

C. 72 units

D. 96 units

Correct Answer: B. 64.8 units

Question 6

Which product is generally most suitable for a prime forward-pick location, subject to safety and compatibility constraints?

A. A high-frequency, small and ergonomically manageable item

B. A hazardous item requiring isolated storage

C. A rarely ordered oversized item

D. A damaged item awaiting disposition

Correct Answer: A. A high-frequency, small and ergonomically manageable item

Question 7

Why can very high storage utilization reduce warehouse performance?

A. It always increases product demand

B. It can reduce accessibility and increase reshuffling and congestion

C. It eliminates the need for inventory records

D. It prevents all replenishment activity

Correct Answer: B. It can reduce accessibility and increase reshuffling and congestion

Question 8

Which design feature most directly reduces pedestrian–vehicle conflict?

A. Removing all location labels

B. Separating pedestrian routes from powered-equipment routes

C. Increasing average carton weight

D. Placing offices inside forklift aisles

Correct Answer: B. Separating pedestrian routes from powered-equipment routes

Question 9

What is the principal purpose of contingency capacity?

A. To ensure every location is permanently full

B. To provide capability for variation, disruption or growth

C. To eliminate the need for maintenance

D. To replace all performance measures

Correct Answer: B. To provide capability for variation, disruption or growth

Question 10

Why should warehouse automation decisions be based on process and demand analysis?

A. Automation is always cheaper than manual work

B. Automation removes all exceptions and risks

C. Suitability depends on volume, consistency, labour conditions, capital and operating requirements

D. Automation makes master data unnecessary

Correct Answer: C. Suitability depends on volume, consistency, labour conditions, capital and operating requirements