Warehousing, Material Handling and Packaging

Introduction

Warehousing is no longer viewed merely as the storage of inventory. In contemporary supply chains, a warehouse is a coordinated transformation system that receives, identifies, stores, retrieves, consolidates, protects and dispatches goods while creating information visibility. Its design affects transport cost, order-cycle time, inventory accuracy, customer service, labor productivity, resilience and safety. Material handling connects these activities physically, while packaging protects products and creates efficient handling and transport units.

For supply-chain managers, the central challenge is not to maximize storage capacity in isolation. It is to design an economically and operationally coherent system in which facility layout, inventory policy, information systems, labor, equipment, packaging and transportation reinforce one another. Excessive automation can create inflexibility; excessive manual handling can create injury risk and variable performance. High storage density may reduce travel but impede access. Cross-docking can reduce inventory, but only when inbound reliability and demand synchronization are adequate.

This chapter develops a framework for planning warehouse processes, capacity, slotting, picking, cross-docking, material-handling systems and packaging. It also examines automation, safety, labor productivity and make-or-buy decisions.

Learning Objectives

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

1. Explain the strategic role and major processes of warehouses.
2. Design a warehouse layout and estimate storage and throughput capacity.
3. Apply slotting principles to improve travel, productivity and service.
4. Compare picking methods, cross-docking alternatives and material-handling technologies.
5. Evaluate packaging and unitization decisions across the supply chain.
6. Interpret labor, safety, automation and performance metrics.
7. Make informed insourcing or outsourcing decisions for warehousing activities.

1. The Warehouse as a Supply-Chain System

A warehouse performs several interconnected functions:

• Receiving: unloading, inspection, counting, identification and system receipt of goods.
• Put-away: moving goods from receiving to an assigned storage or forward-pick location.
• Storage: holding inventory under appropriate security, environmental and access conditions.
• Replenishment: moving stock from reserve storage to forward-pick locations.
• Order picking: selecting items required for customer or production orders.
• Sortation and consolidation: organizing picked items into complete orders or shipment units.
• Packing and dispatch: verifying, packaging, labeling, staging and loading shipments.
• Returns processing: inspecting, classifying, repairing, restocking, recycling or disposing of returned items.
• Information management: maintaining item, location, quantity, status and transaction records.

Warehouse performance is multidimensional. A useful conceptual relationship is:

This is not an accounting identity; it is a managerial principle. Service quality includes availability, accuracy, speed, condition and flexibility. Total logistics cost includes facility, labor, inventory, handling, packaging, information, transportation and failure costs. Improving one dimension may worsen another. For example, storing every stock-keeping unit (SKU) in the most accessible location improves picking speed but may reduce storage density.

Warehouses may be classified by ownership and purpose. Private warehouses are controlled by the user organization, public warehouses offer space and services to multiple users, and contract logistics facilities are operated by a third-party logistics provider under a defined agreement. Distribution centers emphasize flow and order fulfillment; production warehouses support manufacturing; fulfillment centers process large numbers of small e-commerce orders; and cross-dock terminals minimize storage by transferring goods rapidly from inbound to outbound vehicles.

2. Process Design and Layout

2.1 Process logic

A conventional distribution process is:

Receiving → inspection and identification → reserve storage or cross-dock → replenishment → picking → checking and packing → staging → dispatch.

The physical layout should support this process with minimal unnecessary movement and limited interference between inbound and outbound traffic. A warehouse may use a U-flow layout, in which receiving and shipping are located on the same side; an I-flow layout, in which goods move linearly from one end to the other; or an L-flow layout, in which receiving and shipping occupy adjacent sides. U-flow is often useful when dock flexibility and shared labor are important. I-flow can be effective when high-volume, continuous movement requires clear directional separation.

2.2 Layout zones

A well-designed facility normally separates or clearly controls:

• inbound docks and receiving inspection;
• quarantine or exception inventory;
• reserve storage;
• forward-pick areas;
• value-added processing;
• packing and documentation;
• outbound staging;
• returns and recyclable materials;
• offices, maintenance and employee facilities.

The layout must account for aisle width, turning radius, rack protection, emergency exits, fire protection, pedestrian routes, charging stations, battery ventilation, lighting and floor load limits. A mathematically efficient layout that violates safety or fire requirements is not an acceptable design.

2.3 Capacity planning

Capacity has at least three meanings: physical storage capacity, processing capacity and information or control capacity. A facility can have vacant pallet positions but still be unable to process the required number of orders because docks, pick faces, labor or packing stations are constrained.

A basic storage-position estimate is:

If peak inventory is measured in pallets, the result is pallet positions. The estimate must be adjusted for SKU segregation, incompatible products, damaged stock, empty locations, safety stock, seasonal peaks and the required utilization level. A practical design should not assume 100% utilization because high occupancy makes put-away difficult and increases congestion.

For a workload measured in order lines, average required labor hours can be estimated as:

where workload may be order lines, cartons or pallets, and standard productivity must use the same unit per labor hour. If 12,000 order lines are expected and the standard is 60 lines per labor hour, the requirement is 12,000 ÷ 60 = 200 labor hours. If 25% additional time is allowed for meetings, training, fatigue and indirect work, scheduled hours are 200 × 1.25 = 250 hours. This calculation assumes that workload and productivity are reasonably stable; it does not replace a time study for highly variable operations.

For dock planning, a simple peak-load estimate is:

The number of docks is then influenced by the operating window, appointment patterns, dwell time and desired service level. The formula is a first approximation, not a queueing model; random arrivals and truck bunching can require additional capacity.

2.4 Throughput and bottlenecks

Throughput is the quantity processed per unit of time. The effective throughput of a system is constrained by its bottleneck:

For sequential activities with capacities of 100, 70 and 90 cartons per hour, the theoretical system maximum is 70 cartons per hour before variability, breaks, failures and quality holds. Increasing capacity at the 100-carton activity will not improve total output unless the 70-carton constraint is relieved.

The manager should measure both average and peak demand. Designing only for average volume causes chronic congestion during promotions or seasonal peaks; designing the entire system for an extreme peak may create expensive idle resources. Alternatives include temporary labor, flexible shifts, overflow storage, appointment control, postponement and third-party capacity.

3. Slotting and Inventory Access

Slotting is the assignment of SKUs to storage and picking locations. It should be treated as a continuing decision rather than a one-time arrangement. Relevant factors include demand frequency, cube, weight, value, compatibility, hazard class, temperature, expiration date, security, replenishment frequency and order affinity.

A common principle is to place fast-moving products close to packing or dispatch and at ergonomic heights. However, pure velocity slotting is incomplete. A slow-moving but very large item may consume disproportionate space; a light product frequently ordered with a fast mover may deserve a nearby location; and hazardous or temperature-sensitive goods require controlled placement regardless of demand.

A useful prioritization measure is the cube-per-order index:

where storage cube is measured in cubic units and picks are measured over a consistent planning period. Lower COI items generally deserve more accessible locations because they create more activity per unit of space. The measure is a decision aid, not a universal rule. It should be combined with weight, ergonomics, replenishment cost, order correlation and legal constraints.

ABC analysis classifies items according to annual usage value:

A-items typically account for a relatively small proportion of SKUs but a large proportion of usage value; C-items have lower value. ABC classification should not be confused with velocity classification. A high-value item may move slowly, while a low-value consumable may move rapidly. Many warehouses therefore use a two-dimensional classification combining value and movement.

Location assignment also requires inventory rotation. FIFO means first in, first out; FEFO means first expired, first out. FEFO is essential for products with expiration dates. Slotting software can recommend locations using historical orders, forecasts and travel data, but human review remains necessary for unusual demand, new products and operational constraints.

4. Order Picking and Cross-Docking

Picking often represents the largest share of distribution-center labor. The main methods are:

• Discrete picking: one picker completes one order at a time. It is simple and accurate but may involve substantial travel.
• Batch picking: a picker collects the same SKU for several orders, followed by sorting. It reduces repeated travel when orders contain common items.
• Zone picking: each picker works within an assigned zone; orders move between zones or are consolidated. It supports specialization and parallel work.
• Wave picking: orders are released in planned groups based on carrier departure, route, priority or operational capacity.
• Goods-to-person picking: automated storage or conveyor systems bring inventory to a stationary operator. It can reduce travel but requires capital and reliable technology.

The correct method depends on order profile, SKU count, line density, service windows, product characteristics, labor market and capital availability. A hybrid design is common: fast movers may be picked in a forward area, slow movers in reserve, and each may use different equipment or methods.

Picking accuracy is commonly calculated as:

If 9,850 of 10,000 lines are correct, accuracy is 98.5%. The organization should specify whether a line is counted as correct only when SKU, quantity, lot and condition are all correct. A high aggregate percentage can conceal serious failures in regulated or high-value products.

Cross-docking transfers goods from receiving to outbound staging with little or no storage. It can be pre-distribution, where a supplier’s goods are allocated to known customers before arrival, or post-distribution, where allocation occurs after demand information is available. Cross-docking can reduce storage and handling, shorten lead time and improve freshness. It requires reliable suppliers, accurate advance shipping notices, synchronized schedules, compatible unit loads, sufficient staging space and rapid exception resolution.

Cross-docking is unsuitable when inbound supply is unreliable, orders are highly unpredictable, products require inspection or customization, or demand is too fragmented to create efficient loads. A hybrid model often places predictable fast-moving items through cross-dock lanes while retaining buffer stock for uncertain demand.

5. Material-Handling Systems

Material handling includes the movement, protection, storage and control of materials throughout a facility. The objective is not simply to move more quickly; it is to reduce total handling, damage, congestion and non-value-adding travel while preserving safety and flexibility.

Equipment categories include:

• Transport equipment: hand trucks, pallet trucks, forklifts, reach trucks and automated guided vehicles (AGVs).
• Conveyors: belt, roller, chain and sortation conveyors.
• Storage equipment: selective pallet racks, drive-in racks, push-back racks, flow racks, cantilever racks, shelving, carousels and automated storage and retrieval systems (AS/RS).
• Positioning and lifting equipment: scissor lifts, cranes, hoists and ergonomic lift assists.
• Identification and control: barcodes, radio-frequency identification (RFID), warehouse management systems (WMS), sensors and real-time location systems.

Equipment selection should consider the material, load dimensions, weight, fragility, travel distance, required rate, storage density, access frequency, building constraints, maintenance capability and total cost. Standardization can simplify training and spare parts, while specialized equipment may be justified for hazardous, refrigerated or exceptionally heavy goods.

A WMS typically manages receiving, location control, task assignment, replenishment, picking, cycle counting, packing, shipping and performance reporting. Integration with enterprise-resource-planning, transportation-management and labor-management systems creates visibility across the order lifecycle. Yet technology cannot correct inaccurate master data, poor process discipline or unrealistic operating rules.

6. Packaging and Unitization

Packaging performs four broad functions: containment, protection, communication and convenience. It contains the product, protects it from shock, vibration, compression, moisture, contamination and temperature variation, communicates identity and regulatory information, and enables handling, opening, use and disposal.

Packaging levels are commonly described as:

• Primary packaging: directly contacts or encloses the product.
• Secondary packaging: groups primary packages and supports retail or handling.
• Tertiary packaging: creates transport and storage units, such as cases, pallets or stretch-wrapped loads.

Packaging design must balance product protection against material cost, cube, weight, labor, recyclability and customer experience. Over-packaging increases cost and environmental burden; under-packaging creates damage, returns and waste. The relevant decision is based on total system cost, not package cost alone.

Unitization combines individual items into a larger handling unit. Palletization, slip sheets, roll cages and reusable containers can improve handling speed and reduce touches. Unit-load design must account for pallet dimensions, center of gravity, load stability, compression strength, fork access, stacking limits and compatibility with automated equipment.

A simple cube-utilization measure is:

The measure is meaningful only when product protection and weight limits are also satisfied. A highly cube-efficient package may be too heavy, unstable or difficult to pick. Packaging testing may include drop, vibration, compression, climate and pallet-stability tests. Labeling should support scanning, traceability, lot control, expiration management, hazardous-material compliance and accessibility requirements.

Sustainable packaging decisions consider life-cycle impacts, recycled content, reuse cycles, recyclability, reverse logistics and recovery infrastructure. A reusable container is not automatically superior: its environmental advantage depends on return distance, cleaning, loss rate, service life and utilization.

7. Automation, Digitalization and Artificial Intelligence

Automation ranges from mechanized conveyors and barcode scanning to robotics, AS/RS, autonomous mobile robots and vision-based inspection. Automation is most valuable where volume is stable, repetitive work is substantial, accuracy requirements are high, labor is scarce or operating conditions are hazardous.

A basic investment appraisal compares the present value of benefits and costs. For a simplified single-period decision:

A more rigorous discounted-cash-flow analysis uses:

where C₀ is initial investment, B_t is benefit in period t, C_t is operating cost in period t, r is the discount rate, and n is project life. Cash flows must be incremental and expressed in comparable currency and time units. Residual value, tax, maintenance, training, integration and decommissioning should be included when material.

AI can forecast workload, recommend slotting, predict equipment failure, optimize labor schedules, identify damage through computer vision and improve exception classification. Its limitations include biased historical data, poor treatment of new products, cybersecurity risks, opaque recommendations and the possibility of automating bad processes. Human accountability remains necessary for safety, employment decisions, regulatory compliance and unusual events.

Automation should therefore be evaluated as a socio-technical system. Management must consider worker redesign, training, accessibility, maintenance, fallback procedures, cyber resilience and the effect of failures on the entire network. A manual process with modest automation may outperform a highly automated process when demand is volatile and product variety changes rapidly.

8. Labor Productivity, Safety and Governance

Useful labor measures include lines per labor hour, units per labor hour, dock-to-stock time, travel time, utilization, overtime, absenteeism, damage and error rates. Productivity should not be interpreted without quality and safety. A worker who processes more lines by bypassing verification is not creating sustainable productivity.

A balanced productivity measure is:

Accepted output excludes work requiring rework or correction. Managers should distinguish direct hours from paid hours and define whether breaks, training and waiting are included.

Warehouse hazards include vehicle-pedestrian collision, falls, falling loads, ergonomic strain, battery exposure, poor stacking, blocked exits, inadequate guarding and hazardous materials. Controls should follow the hierarchy of controls: eliminate the hazard where possible, substitute safer methods, apply engineering controls, establish administrative controls and use personal protective equipment as the final layer. Examples include segregated pedestrian lanes, speed controls, rack inspections, load limits, dock restraints, guardrails, lift training, ergonomic redesign and emergency procedures.

Governance includes compliance with occupational safety, fire, environmental, labor, transportation, product and hazardous-material regulations applicable to the jurisdiction. Records should support traceability, recall, chain of custody and incident investigation. Ethical management also requires fair scheduling, non-discriminatory performance systems, realistic quotas, privacy protection for worker data and respect for employee voice.

9. Make-or-Buy Decisions in Warehousing

A company may operate warehousing internally, outsource to a public warehouse or contract with a third-party logistics provider. The decision should compare relevant total costs and strategic consequences.

Internal costs include facility ownership or rent, labor, supervision, equipment, maintenance, utilities, insurance, technology, training, compliance and management attention. External costs include storage and handling charges, transportation interfaces, implementation, minimum commitments, accessorial fees, information integration, switching costs and provider margins.

The decision framework should assess:

1. Strategic importance and required control.
2. Volume stability and geographic coverage.
3. Required expertise and technology.
4. Service-level and continuity requirements.
5. Total cost over the contract horizon.
6. Scalability and access to capital.
7. Data ownership, cybersecurity and confidentiality.
8. Provider financial strength and business continuity.
9. Contract governance, audit rights and exit provisions.

Outsourcing is not a transfer of accountability. The shipper remains responsible for customer outcomes, regulatory compliance and appropriate oversight. Contracts should define service levels, inventory accuracy, order accuracy, damage, cycle time, labor standards, incident reporting, data access, continuous improvement, liability and remedies. A multi-provider strategy may improve resilience but can increase coordination complexity.

10. Illustrative Case: Redesigning the Northstar Distribution Center

Background

Northstar Home Products, an illustrative mid-sized omnichannel distributor, operates a 10,000-square-metre facility serving retailers and direct-to-consumer customers. It handles 8,000 SKUs, 2,400 pallet positions and an average of 9,000 order lines per day. During the holiday peak, demand reaches 14,000 lines per day. Picking accuracy is 97.8%, average dock-to-stock time is 18 hours, and overtime is increasing.

Problem

Fast movers are distributed across the building, replenishment frequently interrupts picking, and outbound staging blocks pedestrian routes. The company is considering a fully automated goods-to-person system, but demand varies substantially by product category and direct-to-consumer volume is growing.

Analysis

An engineering study identifies three constraints: insufficient forward-pick capacity for high-volume SKUs, poor slotting, and a packing bottleneck during the peak. A velocity-and-cube review shows that 20% of SKUs generate 72% of order lines. Several bulky, low-frequency items occupy prime locations. The proposed automation would reduce picker travel but require substantial integration and would be difficult to expand for bulky items.

The team first estimates peak labor. At a standard 55 accepted lines per labor hour, peak direct work requires:

14,000 ÷ 55 = 254.5 labor hours per day.

Allowing 15% for indirect work produces approximately 254.5 × 1.15 = 292.7 scheduled labor hours. The organization therefore plans approximately 293 labor hours, subject to shift length and availability. It also measures packing capacity and finds that the packing area, rather than picking, becomes the peak bottleneck.

Approach and solution

Northstar adopts a phased design:

• Re-slot high-frequency items near packing and at ergonomic heights.
• Create a dedicated forward-pick area with scheduled replenishment before peak waves.
• Use batch picking for dense direct-to-consumer orders and zone picking for retail orders.
• Install a modest conveyor and put-wall sorting system rather than a full goods-to-person system.
• Establish a cross-dock lane for predictable supplier-to-retailer flows.
• Redesign staging with marked lanes and separated pedestrian routes.
• Introduce barcode verification at pick and pack, supported by cycle counting of high-risk items.
• Use temporary peak labor and flexible shifts while monitoring workload.
• Include provider quotations for overflow storage rather than permanently expanding the building.

Outcome

In the first operating quarter, the illustrative project raises picking accuracy to 99.3%, reduces dock-to-stock time to 10 hours and increases accepted productivity to 62 lines per labor hour. Packing capacity becomes sufficient after adding two stations and balancing labor across waves. Capital expenditure is lower than the full automation proposal, while the modular design preserves flexibility.

Learning points

The case demonstrates that warehouse improvement should begin with process diagnosis and bottleneck analysis, not equipment selection. Slotting, replenishment discipline, layout control and accurate measurement can deliver substantial benefits before major automation. The best solution is often a portfolio of manual, mechanized and outsourced capabilities rather than a single technology.

11. Implementation Framework and Best Practices

A disciplined implementation sequence is:

1. Establish demand, SKU, order-profile and service-level facts.
2. Map current processes and quantify travel, touches, waiting, errors and damage.
3. Identify bottlenecks and safety risks.
4. Develop alternative layouts, storage policies, picking methods and technology options.
5. Test capacity under average, peak and disruption scenarios.
6. Evaluate total cost, NPV, flexibility and implementation risk.
7. Pilot changes with controlled measures.
8. Train employees and update standard work.
9. Integrate systems and validate master data.
10. Review results through a balanced performance dashboard.

Best practices include maintaining accurate item and location masters, using cycle counting based on risk, separating reserve and forward stock, reviewing slotting periodically, designing for ergonomics, standardizing labels and unit loads, maintaining equipment proactively, controlling dock appointments, measuring exceptions and involving operators in redesign. Continuous improvement should use evidence rather than anecdote and should distinguish temporary peak conditions from structural requirements.

Challenges and Limitations

Warehouse design is limited by uncertain forecasts, changing product portfolios, labor shortages, building leases, capital constraints and incomplete data. Average rates can conceal variability, and simulation results are only as credible as their assumptions. Benchmark productivity figures may not transfer between facilities because of different SKU dimensions, order profiles, travel distances, technology and quality definitions. Automation projects may fail through weak integration or insufficient change management. Sustainability claims may be misleading when they ignore return transport, cleaning, disposal infrastructure or product damage. Managers should therefore use sensitivity analysis, pilots and transparent assumptions.

Chapter Summary

Warehouses integrate physical flow, information and inventory decisions. Effective design aligns receiving, storage, replenishment, picking, packing, staging and dispatch with demand and service requirements. Capacity must be assessed in storage positions, labor, docks and throughput, with attention to bottlenecks and peak variability. Slotting combines velocity, cube, value, weight, ergonomics, compatibility and rotation requirements.

Picking methods include discrete, batch, zone, wave and goods-to-person approaches; the appropriate choice depends on order profile and operating conditions. Cross-docking can reduce storage and handling when inbound reliability and outbound synchronization are strong. Material-handling equipment ranges from manual devices to conveyors, AGVs, robotics and AS/RS, while WMS technology coordinates transactions and location control.

Packaging protects, contains, communicates and facilitates handling. Unitization can reduce touches and damage, but cube efficiency must be balanced with weight, stability, sustainability and regulatory requirements. Automation and AI should be evaluated as socio-technical investments using total cost, NPV, flexibility, safety and resilience. Productivity must be balanced with quality and worker well-being. Finally, make-or-buy decisions require strategic, financial, technological and governance analysis; outsourcing does not remove accountability.

Key Terms

Warehouse: A facility and operating system for receiving, storing, controlling, handling and dispatching goods.

Distribution center: A facility emphasizing rapid flow and order fulfillment rather than long-term storage.

Slotting: The assignment of SKUs to storage and picking locations.

SKU: A distinct stock-keeping unit identified for inventory control.

Forward-pick area: An accessible location holding inventory for routine order picking.

Reserve storage: Backup inventory held for replenishment of forward locations.

Cross-docking: Transferring inbound goods to outbound flow with minimal storage.

Order picking: Selecting items to satisfy a customer or production order.

Batch picking: Picking the same SKU for multiple orders in one activity.

Zone picking: Dividing the warehouse into areas assigned to different pickers or processes.

Unitization: Combining items into a larger, stable handling or transport unit.

Tertiary packaging: Packaging used to create transport and storage units.

WMS: Warehouse management system coordinating inventory, locations, tasks and transactions.

AS/RS: Automated storage and retrieval system.

AGV: Automated guided vehicle operating along defined guidance paths.

Throughput: Quantity processed by a system per unit of time.

Bottleneck: The activity or resource limiting system throughput.

FEFO: First expired, first out inventory rotation.

Third-party logistics provider: An external organization performing logistics services under contract.

Cube utilization: The proportion of available volume occupied by product or packaging.

Review Questions

Short Answer Questions

1. What are the principal functions performed by a distribution warehouse?
2. Distinguish between reserve storage and a forward-pick area.
3. Why is 100% warehouse occupancy usually undesirable?
4. What is the difference between FIFO and FEFO?
5. Identify two functions of tertiary packaging.

Long Answer Questions

1. Explain how layout, slotting and replenishment interact to influence picking performance.
2. Compare discrete, batch, zone, wave and goods-to-person picking methods.
3. Discuss the operational conditions required for successful cross-docking.
4. Evaluate the advantages and limitations of warehouse automation and AI.
5. Explain the strategic and governance issues in a make-or-buy warehousing decision.

Analytical / Application Questions

1. A warehouse processes 18,000 order lines during a peak day at a standard of 60 accepted lines per labor hour. Calculate direct labor hours and then calculate scheduled hours if 20% is added for indirect work. State the assumptions behind your calculation.
2. A facility has 3,200 pallet positions and peak inventory of 2,720 pallets. Calculate nominal occupancy and explain why the result alone is insufficient for deciding whether expansion is required.
3. A manager proposes placing every high-value SKU closest to dispatch. Critically evaluate the proposal using velocity, cube, ergonomics, compatibility, security and order-affinity considerations.

Multiple Choice Questions with Answers

Question 1

Which warehouse activity moves inventory from reserve storage to a forward-pick location?

A. Replenishment

B. Cross-docking

C. Order consolidation

D. Quarantine

Correct Answer: A. Replenishment

Question 2

A warehouse has 12,000 order lines and a standard productivity of 60 lines per labor hour. How many direct labor hours are required?

A. 120

B. 180

C. 200

D. 720

Correct Answer: C. 200

Question 3

Which condition most strongly supports cross-docking?

A. Highly unreliable inbound schedules

B. Predictable inbound and outbound flows

C. A requirement for long-term aging inventory

D. Extensive product customization after receipt

Correct Answer: B. Predictable inbound and outbound flows

Question 4

What does a lower cube-per-order index generally suggest in slotting analysis?

A. The item creates relatively frequent activity per unit of storage cube

B. The item should always be stored in reserve

C. The item has the highest unit cost

D. The item is unsuitable for picking

Correct Answer: A. The item creates relatively frequent activity per unit of storage cube

Question 5

Which picking method collects the same SKU for several customer orders before sorting?

A. Discrete picking

B. Batch picking

C. Zone picking

D. Single-cycle replenishment

Correct Answer: B. Batch picking

Question 6

Which packaging level normally creates a transport unit such as a palletized load?

A. Primary packaging

B. Secondary packaging

C. Tertiary packaging

D. Promotional packaging

Correct Answer: C. Tertiary packaging

Question 7

If sequential warehouse activities have capacities of 100, 70 and 90 cartons per hour, which activity limits theoretical system throughput?

A. The 100-carton activity

B. The 70-carton activity

C. The 90-carton activity

D. All activities equally

Correct Answer: B. The 70-carton activity

Question 8

Which is an engineering control for warehouse safety?

A. A written reminder to walk carefully

B. A disciplinary policy

C. A segregated pedestrian barrier

D. A voluntary safety meeting

Correct Answer: C. A segregated pedestrian barrier

Question 9

Which consideration is most relevant to evaluating a reusable transport container?

A. Its purchase price alone

B. Its color and marketing design

C. Return distance, cleaning, loss rate and service life

D. The number of suppliers in the industry

Correct Answer: C. Return distance, cleaning, loss rate and service life

Question 10

Why should automation be evaluated as a socio-technical system?

A. Because equipment has no effect on labor or process design

B. Because technology interacts with people, processes, skills, safety and governance

C. Because automation eliminates the need for master data

D. Because automated systems never require maintenance

Correct Answer: B. Because technology interacts with people, processes, skills, safety and governance