Inventory Planning and Integrated Decision Processes

Introduction

Inventory decisions are often treated as operational choices: how much to order, when to reorder, and where to hold stock. In a modern supply chain, however, inventory is also the visible consequence of decisions made by procurement, marketing, sales, production, logistics, finance, and customer service. A purchasing decision may reduce unit cost but increase obsolescence. A sales promotion may improve revenue while exhausting safety stock. A production plan may achieve efficiency by creating inventory that customers do not need. Effective inventory management therefore requires an integrated decision process rather than isolated functional optimization.

This chapter examines how inventory planning is connected with procurement, sales and operations planning (S&OP), integrated business planning (IBP), distribution requirements planning (DRP), and demand-driven replenishment. The central argument is that inventory should be planned as part of a coherent flow of decisions across time horizons: strategic, tactical, and operational.

Learning Objectives

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

1. Explain the relationship between inventory decisions and procurement, sales, production, and distribution planning.
2. Distinguish operational S&OP from financially integrated business planning.
3. Construct and interpret a basic DRP record.
4. Explain how demand-driven replenishment differs from purely forecast-driven planning.
5. Evaluate trade-offs among service, cost, capacity, working capital, and risk.
6. Diagnose cross-functional planning failures and recommend governance improvements.
7. Apply integrated inventory-planning concepts to a practical supply-chain case.

1. Inventory as an Integrated Business Decision

Inventory performs several functions: it decouples stages of a process, protects against uncertainty, enables economies of scale, supports customer availability, and absorbs variations in supply and demand. These benefits come at a cost. The principal costs include purchasing or production cost, ordering or setup cost, holding cost, shortage cost, obsolescence, damage, insurance, and capital tied up in stock.

An inventory decision is therefore a multi-objective decision. A useful conceptual representation is:

This expression is a managerial framework rather than a universal accounting identity. The categories must be defined consistently, and some costs may overlap. For example, warehouse labor may be treated as a fixed operating cost in one analysis and as an incremental holding cost in another.

Inventory decisions operate at different planning horizons:

The quality of operational decisions depends heavily on earlier decisions. A firm cannot solve a structurally excessive lead time merely by increasing reorder points. Similarly, frequent shortages caused by an unrealistic sales plan cannot be permanently solved by instructing buyers to order more.

2. Integrating Inventory with Procurement

2.1 Procurement’s influence on inventory

Procurement affects inventory through supplier selection, contract terms, minimum order quantities, lead times, delivery reliability, quality, payment terms, and information sharing. The nominal purchase price is only one component of the total supply impact.

A supplier offering a lower unit price may require large batches. If annual demand is stable and storage is inexpensive, this may be attractive. If demand is uncertain or product life is short, the same arrangement may generate excess stock. Procurement should therefore evaluate total cost and risk, not price alone.

Important procurement variables include:

• Lead time: elapsed time between releasing an order and receiving usable material.
• Lead-time variability: variation in that elapsed time.
• Minimum order quantity (MOQ): smallest permitted order quantity.
• Order multiple: quantity must be an integer multiple of a specified pack or batch size.
• Supplier service level: probability or proportion of deliveries meeting agreed requirements.
• Consignment inventory: stock held at the buyer’s location but owned by the supplier until consumption.
• Vendor-managed inventory (VMI): supplier responsibility for replenishment decisions under agreed rules.

2.2 Inventory implications of supplier lead time

For a continuously reviewed system, inventory position is commonly defined as:

The formula assumes that on-order inventory is expected to be received and that backorders are recorded separately. Inventory position is not the same as physical stock. A firm can have low on-hand inventory but a high inventory position because significant orders are in transit.

A basic reorder-point model is:

where:

• ROP = reorder point, in units;
• d = average demand per time unit;
• L = replenishment lead time, in the same time unit;
• SS = safety stock, in units.

The first term, dL, covers expected demand during lead time. Safety stock protects against uncertainty. The formula assumes that demand and lead time are represented adequately by their averages and that replenishment is triggered when inventory position reaches the reorder point.

When demand during lead time is approximately normally distributed and lead-time variability is negligible, a common safety-stock approximation is:

where σ is the standard deviation of demand per time unit, L is lead time, and z is the standard-normal factor associated with the desired cycle-service probability. This formulation assumes independent demand periods, stable variance, and a fixed lead time. It should not be used uncritically for intermittent demand, highly seasonal demand, or strongly correlated demand.

If both demand and lead time vary and are treated as independent, a commonly used approximation is:

where σ_LT is the standard deviation of demand during lead time, σ_d is demand standard deviation per period, σ_L is lead-time standard deviation, d is average demand per period, and L is average lead time in periods. The corresponding safety stock is approximately SS = zσ_LT. The approximation is sensitive to assumptions, especially independence and the treatment of lead time as a continuous variable.

Worked Example 1: Supplier lead time and safety stock

A component has average demand of 100 units per week, demand standard deviation of 20 units per week, and a fixed lead time of four weeks. Management wants approximately 95% cycle service, for which z ≈ 1.645.

Expected lead-time demand is:

dL = 100 × 4 = 400 units.

Safety stock is:

SS = 1.645 × 20 × √4 = 1.645 × 40 = 65.8 units.

Rounded upward, safety stock is 66 units. The reorder point is therefore:

ROP = 400 + 66 = 466 units.

The result is valid only if the demand variability estimate is appropriate, the lead time is effectively fixed, and the service measure is interpreted as a cycle-service probability rather than a fill rate.

2.3 Procurement policies that improve integration

Integrated procurement and inventory planning require:

1. Shared master data: common units of measure, lead times, supplier calendars, pack sizes, and approved sources.
2. Supplier segmentation: differentiated policies for strategic, bottleneck, leverage, and routine items.
3. Lead-time governance: periodic review of quoted, planned, and actual lead times.
4. Flexible contracts: options for postponement, rescheduling, quantity adjustment, or capacity reservation.
5. Supplier collaboration: visibility of forecasts, firm orders, consumption, and exceptions.
6. Total-cost evaluation: inclusion of freight, quality, working capital, risk, and end-of-life exposure.

3. Sales and Operations Planning

S&OP is a recurring cross-functional process that reconciles demand, supply, inventory, capacity, and financial objectives. It usually operates at an aggregate level, such as product family, region, or channel, and at a monthly planning horizon. Its purpose is not to create every purchase order; it is to establish a feasible and agreed plan that guides detailed execution.

A conventional S&OP cycle includes:

1. Data gathering and analysis: actual demand, forecast accuracy, inventory, capacity, and supply performance are reviewed.
2. Demand review: sales, marketing, and commercial teams prepare an unconstrained demand view, including promotions and market intelligence.
3. Supply review: operations and procurement test whether the demand plan can be met with available capacity, suppliers, labor, and inventory.
4. Pre-S&OP reconciliation: alternatives and trade-offs are evaluated, including overtime, subcontracting, allocation, price changes, or inventory build.
5. Executive review: senior management resolves material conflicts and approves the integrated plan.
6. Implementation and monitoring: decisions are translated into master production schedules, procurement plans, deployment plans, and performance measures.

The inventory plan in S&OP is not simply a target number. It is a consequence of projected demand, supply rates, opening inventory, planned receipts, and service commitments. At aggregate level, a basic inventory balance is:

All terms must be measured in the same units and period. If demand includes shipments but supply includes production completions, the timing and definitions must be aligned.

3.1 Demand and supply options

When projected demand exceeds available supply, managers may consider:

• increasing production or supplier capacity;
• using overtime or subcontracting;
• advancing purchases;
• reallocating inventory among markets;
• modifying promotions or pricing;
• substituting products;
• accepting a lower service level for selected customers;
• building inventory before a known peak.

Each option changes cost, risk, customer service, and working capital. A good S&OP process makes these consequences visible rather than allowing one department to impose them on another.

3.2 Inventory targets in S&OP

Inventory targets can be expressed as units, days of supply, monetary value, or service-protection quantities. Days of supply can be calculated as:

The measure is easy to communicate but can mislead when demand is seasonal, intermittent, or rapidly changing. It also requires a clear definition of “available inventory.” A stock figure that includes obsolete or quality-held items does not represent usable supply.

4. Integrated Business Planning

IBP extends S&OP by connecting operational plans with strategic and financial plans. It asks not only whether the supply chain can meet demand, but whether the proposed plan supports profitability, cash flow, capital allocation, risk appetite, and strategic priorities.

The distinction between S&OP and IBP is one of emphasis rather than a universal boundary. S&OP may already include financial reconciliation, while some organizations use “IBP” mainly as a label. In a mature process, the following are integrated:

• demand and market scenarios;
• supply and capacity scenarios;
• inventory and working-capital targets;
• revenue, gross margin, and contribution;
• capital expenditure and network decisions;
• supplier and geopolitical risks;
• sustainability and regulatory commitments.

For example, a plan that increases inventory by £10 million may improve service and revenue, but it also consumes cash and may increase write-off risk. IBP requires the decision makers to compare these effects explicitly.

4.1 Scenario-based decision making

IBP is particularly valuable when assumptions are uncertain. A firm may develop base, upside, and downside scenarios. Each scenario should specify assumptions, not merely a different quantity forecast. Assumptions may include demand growth, exchange rates, supplier capacity, transport availability, commodity prices, and promotional response.

A scenario is useful only when it leads to decisions. For example:

4.2 Financial integration

Inventory investment can be approximated as:

where the summation covers all inventory items and the unit cost basis must be stated. This is not necessarily equal to balance-sheet inventory because accounting rules may require valuation adjustments, standard-cost conventions, or lower-of-cost-and-net-realizable-value treatment, depending on the applicable reporting framework.

Managers should distinguish:

• service inventory, held to protect customer availability;
• cycle inventory, created by ordering or producing in batches;
• anticipation inventory, built for predictable peaks or constraints;
• pipeline inventory, physically in transit;
• speculative inventory, acquired because of expected price or supply changes;
• obsolete or excess inventory, which may not provide effective service value.

5. Distribution Requirements Planning

DRP translates a distribution plan into time-phased replenishment requirements for warehouses, regional distribution centers, and other stocking locations. It is conceptually related to material requirements planning (MRP), but it plans the movement of finished goods through a distribution network rather than components through a production structure.

A DRP record commonly includes:

• forecast or gross requirements;
• scheduled receipts;
• projected available balance;
• safety stock;
• net requirements;
• planned order receipts;
• planned order releases;
• lead time;
• lot-size and calendar constraints.

A simplified projected balance equation is:

where:

• PAB_t = projected available balance at the end of period t;
• SR_t = scheduled receipt in period t;
• POR_t = planned order receipt in period t;
• GR_t = gross requirement in period t.

If a safety-stock minimum is imposed, a planned receipt is triggered when the projected balance would fall below that minimum. The planned order release is then offset earlier by the relevant replenishment lead time. The calculation assumes that requirements, receipts, lead times, and inventory records are accurate and synchronized.

Worked Example 2: Basic DRP record

A regional distribution center begins Week 1 with 120 units. Weekly gross requirements are 80, 100, and 90 units. A scheduled receipt of 100 units arrives in Week 2. The planned receipt lot size is 100 units, and the center must not fall below 30 units. Replenishment lead time is one week.

In Week 1, the balance ends at 40, above the 30-unit minimum. In Week 2, without a planned receipt, the balance would be 40, but the planned receipt is included because the policy may require replenishment to the lot-size level or because the receipt decision was generated in the preceding planning run. In Week 3, the 100-unit receipt maintains the ending balance at 50. The corresponding releases occur one week earlier: the Week 2 receipt is released in Week 1, and the Week 3 receipt is released in Week 2.

This example illustrates an important practical issue: DRP is not merely arithmetic. The result depends on the replenishment policy, lot-sizing rule, treatment of scheduled receipts, and whether the system uses forecast consumption, actual orders, or both.

5.1 DRP across a network

In a multi-echelon network, a central warehouse may calculate replenishment requirements from regional distribution centers, while the central warehouse itself depends on factories or suppliers. If every location independently inflates its forecast, the network can experience the bullwhip effect. DRP therefore requires:

• a defined ownership structure for inventory;
• consistent demand signals;
• elimination of duplicate requirements;
• realistic transport lead times;
• allocation rules during constrained supply;
• synchronization between deployment and production plans.

6. Demand-Driven Replenishment

Traditional planning often begins with a forecast and pushes inventory toward the market. Demand-driven approaches seek to position strategic buffers and replenish them in response to actual consumption or qualified demand signals. They do not eliminate forecasting; forecasts remain important for capacity, procurement, and long-lead-time decisions. Rather, demand-driven planning reduces the extent to which short-term replenishment depends on an uncertain forecast.

Important principles include:

1. Strategic decoupling points: inventory or capacity buffers are placed where they separate supply variability from demand variability.
2. Buffer sizing: buffer levels reflect expected demand, lead time, variability, and strategic importance.
3. Demand sensing: recent orders, point-of-sale data, inventory withdrawals, and market signals are used to update short-term decisions.
4. Exception-based execution: planners focus on abnormal consumption, buffer penetration, late supply, and emerging constraints.
5. Flow alignment: replenishment is based on actual consumption where feasible rather than on repeated independent forecasts.

A demand-driven model can be represented conceptually as:

This is a conceptual relationship, not a universal algorithm. The adjustment must be governed to prevent promotional spikes, duplicate orders, or one-time events from being mistaken for sustainable demand.

6.1 Demand-driven versus forecast-driven planning

The two approaches should be combined. A firm may use demand-driven replenishment for finished goods while using forecast-based planning for imported raw materials with six-month lead times.

7. Governance, Metrics, and Decision Rights

Integration fails when processes exist but decision rights are unclear. Governance should define who owns the forecast, who approves inventory targets, who may override system recommendations, and who is accountable for excess and shortage outcomes.

Useful measures include:

• case-fill rate or line-fill rate;
• on-time, in-full supplier performance;
• inventory accuracy;
• forecast accuracy and forecast bias;
• inventory turns;
• days of supply;
• excess and obsolete inventory;
• order-cycle time;
• schedule adherence;
• expedite frequency;
• working capital;
• perfect-order performance.

No single metric is sufficient. Inventory turns may improve because stock has been reduced, but service may deteriorate. Fill rate may improve because inventory has been increased excessively. Metrics should therefore be reviewed as a balanced set.

Forecast error can be expressed in several ways. Mean absolute deviation is:

where A_t is actual demand, F_t is forecast demand, and n is the number of observations. MAD is expressed in demand units. Mean absolute percentage error is:

provided A_t ≠ 0. MAPE can be unstable or undefined when actual demand is zero and can distort comparisons across items with different volumes. Bias should also be monitored because consistently over-forecasting and under-forecasting have different inventory consequences.

8. Technology and Artificial Intelligence

Enterprise resource planning systems, advanced planning systems, warehouse-management systems, supplier portals, and transport platforms can connect demand, supply, inventory, and execution data. Technologies may provide:

• real-time inventory visibility;
• available-to-promise and capable-to-promise calculations;
• exception alerts;
• scenario simulation;
• automated replenishment proposals;
• supplier collaboration;
• dynamic allocation during shortages.

AI and machine-learning tools may improve demand sensing, anomaly detection, lead-time prediction, and parameter maintenance. Their value depends on data quality, process design, and human governance. A highly accurate prediction cannot compensate for incorrect stock records, an unapproved promotion, or an impossible supplier lead time.

AI governance should address:

• traceability of data and model versions;
• explainability of high-impact recommendations;
• monitoring for drift and bias;
• human approval for material decisions;
• cybersecurity and access control;
• protection of commercially sensitive supplier and customer data.

Automation should support accountability, not obscure it. A planner should be able to understand why a replenishment recommendation was generated and what assumptions drive it.

9. Illustrative Case: Northstar Medical Devices

Background

Northstar Medical Devices distributes diagnostic cartridges through one national distribution center and four regional warehouses. The cartridges have a twelve-month shelf life, while imported reagent components have a five-month procurement lead time. Sales has frequently introduced quarterly promotions. Procurement orders components in container-sized batches to obtain lower freight cost.

Problem

The company reported high customer service at the national level but frequent regional stockouts. At the same time, obsolete inventory increased. The national forecast was routinely revised upward after promotions had already begun. Regional warehouses each created independent forecasts, and the same demand was consequently counted several times in the replenishment system. Procurement, evaluated primarily on purchase price variance, continued to place large orders.

Analysis

A cross-functional review identified four linked causes:

1. The commercial plan was not reconciled with available component capacity.
2. DRP used inconsistent lead times and duplicated regional forecasts.
3. Procurement incentives favored unit price rather than total landed and lifecycle cost.
4. Inventory targets were expressed as months of supply without adjustment for shelf life.

The company also discovered that inventory records included quality-held cartridges in “available” stock, overstating service protection.

Approach and solution

Northstar established a monthly S&OP cycle and a quarterly executive IBP review. Sales submitted a promotion calendar with expected uplift, duration, and confidence level. Supply planning translated the calendar into component and finished-goods requirements. A single statistical baseline was maintained centrally, while regional teams supplied controlled overrides.

DRP parameters were standardized. Each regional warehouse received a defined service policy and replenishment lead time. The national distribution center became the owner of deployment decisions, preventing independent regional forecasts from being added to the same requirement. A shelf-life rule prohibited replenishment that would create projected expiry before expected consumption.

Procurement contracts were revised to include smaller release quantities, supplier capacity reservations, and rescheduling rights. Supplier performance was measured using delivery reliability and usable quality, not price variance alone. A demand-driven buffer was introduced for the fastest-moving cartridges, while long-lead-time reagents continued to use forecast-based procurement with scenario analysis.

Outcome

After two planning cycles, the company reported fewer emergency shipments and better visibility of promotion-related risk. The inventory reduction was selective: high-risk, slow-moving products were reduced, while strategically important reagent buffers were retained. The most important improvement was not a single parameter change but the alignment of decision rights, data, incentives, and planning horizons.

Learning points

• High aggregate service can conceal poor regional availability.
• Shelf life changes the meaning of “sufficient inventory.”
• Forecasts should be governed as shared business assumptions, not departmental property.
• Procurement performance must include supply continuity and inventory consequences.
• Demand-driven replenishment and forecast-driven upstream planning can coexist.

10. Challenges and Limitations

Integrated planning is difficult for several reasons. First, functions may have conflicting objectives. Sales may seek maximum availability, finance may seek lower working capital, procurement may seek price reductions, and operations may seek stable production. Second, data may be incomplete or inconsistent. Third, plans can be undermined by behavioral responses: managers may inflate forecasts to secure supply, hide shortages, or protect departmental performance.

Other limitations include:

• unstable markets that make historical forecasts unreliable;
• promotion and product-launch effects with little precedent;
• nonlinear capacity constraints;
• supplier dependency and geopolitical disruption;
• poor visibility of inventory in transit or at customers;
• excessive system parameter complexity;
• inappropriate reliance on statistical service assumptions;
• organizational resistance to shared accountability.

Integrated planning is not a promise of perfect forecasts or zero inventory. It is a disciplined method for making trade-offs explicit, revising assumptions, and coordinating decisions.

Best-Practice Checklist

An organization seeking integrated inventory planning should:

1. Define common inventory, demand, and service terminology.
2. Separate strategic, tactical, and operational decisions.
3. Maintain one governed demand plan with documented overrides.
4. Connect promotions and new-product introductions to supply planning.
5. Review supplier lead times and reliability using actual performance.
6. Use DRP with consistent ownership, calendars, lot sizes, and lead times.
7. Combine forecast-driven planning for long horizons with demand-driven execution where appropriate.
8. Evaluate scenarios financially and operationally.
9. Measure service, working capital, excess, forecast bias, and supply reliability together.
10. Establish human accountability for automated recommendations.

Chapter Summary

Inventory planning is an integrated business process linking procurement, sales, operations, finance, and distribution. Procurement decisions influence lead time, variability, batch size, and total supply risk. S&OP reconciles demand and supply at an aggregate tactical level, while IBP extends this reconciliation to financial, strategic, risk, and capital considerations. DRP converts distribution requirements into time-phased replenishment actions and depends on accurate data, consistent ownership, and appropriate lot-sizing and lead-time rules. Demand-driven replenishment uses consumption and near-term signals to control replenishment while retaining forecasts for capacity and long-lead-time decisions. Effective integration requires shared data, clear decision rights, balanced metrics, scenario analysis, and governance of technology and AI. The objective is not minimum inventory in isolation, but an economically and strategically appropriate level of inventory that supports customer service and organizational resilience.

Key Terms

Inventory position: On-hand inventory plus expected receipts minus backorders.

Reorder point: Inventory-position threshold that triggers replenishment under a reorder-point policy.

Safety stock: Inventory held to protect against demand, lead-time, or supply uncertainty.

Lead time: Time between initiating and receiving usable replenishment.

Minimum order quantity: Smallest quantity a supplier or process permits in an order.

S&OP: Cross-functional process for reconciling demand, supply, inventory, and capacity.

Integrated business planning: An extended planning process connecting operational plans with financial and strategic decisions.

DRP: Distribution Requirements Planning; time-phased planning of replenishment across a distribution network.

MRP: Material Requirements Planning for calculating component and material requirements.

Projected available balance: Expected inventory balance after requirements and receipts in a period.

Scheduled receipt: Previously committed replenishment expected to arrive in a specified period.

Planned order receipt: System-generated receipt needed to satisfy requirements or policy constraints.

Demand-driven replenishment: Replenishment approach emphasizing actual consumption and qualified near-term signals.

Decoupling point: Stock or capacity position that separates supply and demand variability.

Cycle inventory: Inventory resulting from batch ordering or production.

Anticipation inventory: Stock built in advance of predictable demand or supply constraints.

Pipeline inventory: Inventory currently moving between locations.

Inventory turns: A ratio indicating how many times inventory is used or replaced over a period.

Forecast bias: Systematic tendency to over-forecast or under-forecast.

Exception management: Focusing managerial attention on deviations requiring intervention.

Review Questions

Short Answer Questions

1. What is the difference between on-hand inventory and inventory position?
2. Why can a low purchase price create higher total supply-chain cost?
3. What is the principal purpose of S&OP?
4. What does DRP add to a distribution planning process?
5. Why should demand-driven replenishment not be interpreted as eliminating forecasts?

Long Answer Questions

1. Explain how procurement policy affects inventory, service, and supply risk.
2. Compare S&OP and IBP in terms of scope, time horizon, and decision outputs.
3. Describe the structure and logic of a DRP record.
4. Discuss the advantages and limitations of integrating demand-driven replenishment with forecast-based planning.
5. Explain why balanced metrics and clear decision rights are essential to integrated inventory governance.

Analytical / Application Questions

1. A product has weekly demand of 150 units, a fixed lead time of three weeks, demand standard deviation of 25 units per week, and a target cycle-service factor of z = 1.645. Calculate approximate safety stock and reorder point. State the assumptions behind your calculation.
2. A company has high inventory turns but declining customer fill rate. Diagnose at least three possible causes and propose an integrated S&OP or IBP response.
3. A distribution network experiences simultaneous regional stockouts and national excess inventory. Design a diagnostic approach using DRP, forecast governance, inventory classification, and demand-driven replenishment concepts.

Multiple Choice Questions with Answers

Question 1

Which statement best defines inventory position?

A. On-hand inventory only

B. On-hand inventory plus on-order inventory minus backorders

C. Annual demand divided by average inventory

D. Inventory value after accounting adjustments

Correct Answer: B. On-hand inventory plus on-order inventory minus backorders

Question 2

In the basic reorder-point equation ROP = dL + SS, what does dL represent?

A. Annual holding cost

B. Expected demand during lead time

C. Supplier order quantity

D. Demand forecast error

Correct Answer: B. Expected demand during lead time

Question 3

What is the primary purpose of S&OP?

A. To create every warehouse picking instruction

B. To reconcile aggregate demand, supply, inventory, and capacity

C. To calculate financial statements

D. To replace supplier contracts

Correct Answer: B. To reconcile aggregate demand, supply, inventory, and capacity

Question 4

What does IBP add to a mature S&OP process?

A. Removal of financial considerations

B. Exclusive focus on warehouse operations

C. Connection of operational plans with strategic and financial decisions

D. Elimination of scenario planning

Correct Answer: C. Connection of operational plans with strategic and financial decisions

Question 5

In DRP, a planned order release is generally offset from the planned receipt by which factor?

A. Inventory turnover

B. Replenishment lead time

C. Annual demand

D. Gross margin

Correct Answer: B. Replenishment lead time

Question 6

A product has average weekly demand of 100 units, fixed lead time of 4 weeks, demand standard deviation of 20 units per week, and z = 1.645. Using SS = zσ√L, what is the approximate reorder point?

A. 400 units

B. 426 units

C. 466 units

D. 532 units

Correct Answer: C. 466 units

Question 7

Which is a characteristic of demand-driven replenishment?

A. It relies exclusively on an annual forecast

B. It emphasizes actual consumption and qualified near-term signals

C. It requires maximum inventory at every location

D. It eliminates the need for capacity planning

Correct Answer: B. It emphasizes actual consumption and qualified near-term signals

Question 8

Why can days of supply be misleading?

A. It cannot be expressed numerically

B. It ignores all inventory quantities

C. It may be distorted by seasonality, intermittency, or unusable stock

D. It always overstates service performance

Correct Answer: C. It may be distorted by seasonality, intermittency, or unusable stock

Question 9

Which metric is specifically concerned with systematic over-forecasting or under-forecasting?

A. Forecast bias

B. Order cycle time

C. Inventory accuracy

D. Supplier on-time delivery

Correct Answer: A. Forecast bias

Question 10

Which governance practice best supports responsible use of AI in replenishment?

A. Allowing models to change all parameters without review

B. Removing access controls to increase speed

C. Maintaining traceability, monitoring drift, and assigning human accountability

D. Using only historical data and ignoring current signals

Correct Answer: C. Maintaining traceability, monitoring drift, and assigning human accountability