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Question 1Supply Chain Strategy and Network Design

A firm's supply chain strategy is best described as the set of choices that determine how the supply chain will do which of the following?

  1. Balance responsiveness and efficiency to meet demand characteristics Correct answer.
  2. Maximize the number of suppliers used in every category
  3. Standardize all products to a single SKU per category
  4. Minimize the number of distribution centers regardless of service needs

Explanation

Supply chain strategy is fundamentally about achieving the right balance between responsiveness and efficiency given the demand characteristics the chain must serve. Every structural choice, from facility count to inventory policy, should follow from that trade-off rather than from a single blanket rule.

Question 2Supply Chain Strategy and Network Design

A product with high demand uncertainty, short life cycles, and high margin typically calls for a supply chain that emphasizes which characteristic?

  1. Minimal information sharing with downstream partners
  2. Centralized single-sourcing with long lead times
  3. Efficiency through high utilization and low buffer inventory
  4. Responsiveness through flexible capacity and buffer inventory Correct answer.

Explanation

High uncertainty and high margin justify investing in responsiveness, because stockouts and markdowns cost more than the extra capacity and inventory. Flexible capacity and buffers let the chain react to unpredictable demand. Efficiency-focused designs suit stable, low-margin products instead.

Question 3Supply Chain Strategy and Network Design

Which statement best captures the bullwhip effect in a multi-tier supply chain?

  1. Supplier lead times shorten as order volumes grow
  2. Order variability increases as one moves upstream from the customer Correct answer.
  3. Inventory turns decline uniformly across all tiers at the same rate
  4. Transportation costs rise proportionally to distance traveled

Explanation

The bullwhip effect is the amplification of demand variability as orders pass upstream through the chain. Small changes in end-customer demand can produce large swings in orders placed with suppliers. Causes include forecast updating, order batching, and price promotion.

Question 4Supply Chain Strategy and Network Design

A company decides to serve a region from a single large central warehouse instead of five regional warehouses. Which outcome is most consistent with this network design change?

  1. Lower transportation cost and shorter lead time
  2. Higher total inventory and shorter average lead time
  3. Higher facility cost and shorter lead time
  4. Lower total inventory but longer average customer lead time Correct answer.

Explanation

Consolidating into fewer facilities typically reduces total safety and cycle inventory because demand pooling lowers variability, but distance to customers grows, extending lead times. This is the classic inventory-versus-responsiveness trade-off in network design.

Question 5Supply Chain Strategy and Network Design

In the context of network design, what does a center-of-gravity approach primarily determine?

  1. The optimal order quantity for each SKU
  2. The number of suppliers to qualify per category
  3. The reorder point for each distribution center
  4. A geographically central location that minimizes weighted transport distance Correct answer.

Explanation

Center-of-gravity analysis locates a facility at a point that minimizes the distance-weighted flow to demand or supply points. It is a location heuristic, not an inventory or sourcing method. Real decisions then adjust for land, labor, and infrastructure constraints.

Question 6Supply Chain Strategy and Network Design

A firm segments its supply chain so that functional, predictable products use an efficient chain while innovative products use a responsive chain. This practice is best described as:

  1. Lean six sigma
  2. Strategic fit through supply chain segmentation Correct answer.
  3. Vertical integration
  4. Postponement

Explanation

Matching distinct supply chain designs to distinct product or customer segments is the essence of strategic fit through segmentation. It recognizes that a single chain design cannot optimally serve both stable and volatile demand. Postponement and integration are tools that may support the strategy but are not the definition.

Question 7Supply Chain Strategy and Network Design

Which metric best measures how well a supply chain network meets customer delivery promises?

  1. Perfect order fulfillment rate Correct answer.
  2. Warehouse space utilization
  3. Inventory carrying cost percentage
  4. Supplier count per category

Explanation

Perfect order fulfillment captures on-time, complete, damage-free, and correctly documented delivery, making it a direct service measure. Carrying cost, utilization, and supplier count are internal efficiency indicators that do not by themselves reflect customer promise performance.

Question 8Supply Chain Strategy and Network Design

A retailer moves from a push-based to a pull-based replenishment model for a stable, high-volume item. Which change is most likely?

  1. Inventory buffers are increased at every echelon
  2. Production is scheduled from long-range forecasts with large batch sizes
  3. Replenishment is triggered by actual consumption signals Correct answer.
  4. Lead times are deliberately extended to smooth production

Explanation

Pull-based replenishment responds to actual demand signals rather than forecast-driven batch schedules. For stable high-volume items this usually reduces inventory while maintaining service. Long-range forecast pushes and larger buffers describe push systems.

Question 9Supply Chain Strategy and Network Design

A manufacturer wants to reduce exposure to a single-country supply disruption without building new plants. Which network lever most directly addresses this goal?

  1. Increasing order quantity at the current supplier
  2. Extending payment terms with the current supplier
  3. Dual sourcing from qualified suppliers in different regions Correct answer.
  4. Reducing safety stock to free working capital

Explanation

Dual sourcing across regions creates redundancy so a disruption in one area does not halt supply. It addresses concentration risk without requiring new owned capacity. Larger orders, payment terms, and lower safety stock do not reduce geographic concentration and may worsen exposure.

Question 10Supply Chain Strategy and Network Design

When total demand is unchanged but a firm adds distribution centers, which cost behavior is generally expected?

  1. Inbound transportation cost falls and outbound cost falls
  2. Outbound transportation cost rises and facility cost falls
  3. Safety inventory falls and facility cost falls
  4. Safety inventory rises and outbound transportation cost falls Correct answer.

Explanation

More distribution centers place inventory closer to customers, reducing outbound distance and cost, but each site needs its own safety stock, so total safety inventory rises. Facility fixed costs also rise with additional sites. This trade-off drives optimal network size.

Question 11Supply Chain Strategy and Network Design

A firm uses postponement by holding generic product and adding market-specific features after receiving orders. What is the primary benefit?

  1. Eliminating the need for demand forecasting entirely
  2. Increasing batch sizes at the assembly plant
  3. Reducing finished-goods variety risk while improving responsiveness Correct answer.
  4. Lowering transportation cost by shipping full truckloads of finished goods

Explanation

Postponement keeps inventory in a generic form, so the firm bears less risk of mismatches across final variants and can respond to actual orders. Forecasting is still needed for the generic components, so it is not eliminated. Transport and batch effects are separate considerations.

Question 12Supply Chain Strategy and Network Design

A supply chain manager observes that forecast error at the retail level is small but order variability at the factory is very large. Which root cause is most plausible?

  1. Single-echelon inventory visibility
  2. Order batching and price promotions in the chain Correct answer.
  3. Uniform pricing throughout the year
  4. Short replenishment lead times across the chain

Explanation

Order batching and forward buying during promotions are classic amplifiers of demand variability upstream. Short lead times and stable pricing tend to dampen the bullwhip effect. Visibility alone does not create amplification.

Question 13Supply Chain Strategy and Network Design

Which situation best justifies locating a distribution center close to customers rather than near the plant?

  1. Low demand variability and slow delivery expectations
  2. High value density and low customer service requirements
  3. High outbound transportation cost relative to inbound and fast delivery expectations Correct answer.
  4. Very long product shelf life and infrequent orders

Explanation

When outbound freight is expensive relative to inbound and customers expect fast delivery, positioning inventory near demand reduces total cost and improves service. High value density with low service needs and slow expectations favor centralization instead.

Question 14Supply Chain Strategy and Network Design

A company evaluates outsourcing manufacturing versus keeping it in-house. Which consideration most directly belongs to supply chain network design rather than to pure cost accounting?

  1. Allocation of corporate overhead
  2. Depreciation schedule of existing equipment
  3. Loss of control over capacity flexibility and lead time Correct answer.
  4. Tax treatment of inventory

Explanation

Network design weighs how sourcing choices affect responsiveness, capacity flexibility, and lead time, not just accounting cost. Losing control over capacity and lead time can change the firm's ability to serve demand. Depreciation, overhead allocation, and tax treatment are accounting matters.

Question 15Supply Chain Strategy and Network Design

Which pair of product characteristics most strongly suggests a responsive rather than efficient supply chain?

  1. Predictable demand and long life cycles
  2. Standardized components and long forecast horizons
  3. Short life cycles and high contribution margins Correct answer.
  4. Low margins and stable demand

Explanation

Short life cycles and high margins mean stockouts and obsolescence are costly, so responsiveness pays off. Predictable demand, low margins, and long horizons favor efficiency. The mismatch between product type and chain type erodes profitability.

Question 16Supply Chain Strategy and Network Design

A firm measures total landed cost for sourcing decisions. Which element is most often omitted when managers compare only unit price?

  1. Purchase price per unit
  2. Volume rebate percentage
  3. Freight, duties, and inventory carrying cost Correct answer.
  4. Supplier's list price discount

Explanation

Total landed cost adds freight, tariffs, handling, and inventory carrying cost to the unit price. Comparing only unit price ignores these components and can make an offshore source look cheaper than it truly is. Rebates and discounts are already price elements.

Question 17Supply Chain Strategy and Network Design

A firm with highly seasonal demand considers using a mix of dedicated and flexible capacity. Which design principle does this reflect?

  1. Eliminating all buffer capacity to minimize cost
  2. Balancing utilization and responsiveness through capacity portfolio Correct answer.
  3. Chasing demand with owned capacity only
  4. Centralizing all production in one facility year-round

Explanation

A capacity portfolio mixes stable base capacity with flexible or contracted capacity to handle peaks, balancing cost and responsiveness. Owning only peak capacity is expensive, while owning only base capacity risks stockouts. The portfolio approach is a core network design principle.

Question 18Supply Chain Strategy and Network Design

Which statement about the relationship between facility count and total logistics cost is generally true?

  1. Total cost always decreases as facilities are added
  2. Total cost is independent of facility count
  3. Total cost always increases as facilities are added
  4. Total cost typically has a minimum at an intermediate facility count Correct answer.

Explanation

Facility fixed and inventory costs rise with more sites while outbound transport cost falls, so total logistics cost usually has a minimum at some intermediate number of facilities. The exact point depends on demand density and service requirements. Neither monotonic direction holds in general.

Question 19Supply Chain Strategy and Network Design

A company wants to shorten customer lead time without adding finished-goods inventory at every location. Which combination is most appropriate?

  1. Hold component inventory centrally and perform final assembly or configuration close to demand Correct answer.
  2. Centralize all inventory and use slow, cheap transport
  3. Reduce the number of suppliers to a single source
  4. Increase batch sizes at each regional warehouse

Explanation

Holding generic components centrally and doing late-stage assembly or configuration near customers shortens lead time while limiting finished-goods proliferation. This is a form of postponement applied to network design. Centralizing finished goods with slow transport or increasing batches works against the goal.

Question 20Supply Chain Strategy and Network Design

A firm operates a network where each region forecasts independently and orders to cover its own forecast error. Compared with a centralized forecasting approach, what is the likely effect?

  1. Higher aggregate safety stock because independent errors do not pool Correct answer.
  2. Lower aggregate safety stock because errors offset across regions
  3. No effect on safety stock because total demand is the same
  4. Lower transportation cost because each region orders separately

Explanation

Pooling demand across regions allows independent forecast errors to offset, reducing required safety stock. Independent regional forecasting forgoes that pooling benefit and raises aggregate safety inventory. Total demand being equal does not mean variability is equal.

Question 21Supply Chain Strategy and Network Design

A firm faces a choice between a lean, low-cost network and an agile, high-service network for the same product line. Which analysis best supports the decision?

  1. Comparing only the unit manufacturing cost of each option
  2. Choosing the option with the lowest transportation rate per mile
  3. Selecting the option with the fewest facilities
  4. Quantifying the cost of stockouts and lost margin against the cost of responsiveness Correct answer.

Explanation

The right choice depends on comparing the cost of responsiveness with the margin lost from stockouts and poor service. If lost margin is high, agility pays; if it is low, leanness wins. Single cost dimensions such as manufacturing cost, facility count, or freight rate miss the service trade-off.

Question 22Supply Chain Strategy and Network Design

An offshore supplier offers a 20 percent lower unit price, but adds four weeks of lead time and requires larger minimum order quantities. Which consequence should the network analysis anticipate?

  1. Lower cycle stock and unchanged safety stock
  2. Lower safety stock and lower cycle stock
  3. Higher safety stock and lower cycle stock
  4. Higher safety stock and higher cycle stock Correct answer.

Explanation

Longer lead times increase the uncertainty exposure during replenishment, raising safety stock, while larger minimum order quantities raise cycle stock. Both effects offset part of the unit-price savings and must be included in the total cost comparison.

Question 23Supply Chain Strategy and Network Design

A firm considering near-shoring evaluates reduced lead time against higher labor cost. Which additional network effect most strengthens the near-shoring case?

  1. Lower inventory in transit and faster response to demand shifts Correct answer.
  2. Greater exposure to currency fluctuations in a single region
  3. Increased need for safety stock due to longer pipelines
  4. Higher minimum order quantities from distant suppliers

Explanation

Shorter pipelines reduce in-transit inventory and let the firm respond faster to demand changes, both of which can offset higher labor cost. Longer pipelines, larger minimums, and concentrated currency exposure would weaken rather than strengthen the case.

Question 24Supply Chain Strategy and Network Design

A firm maps its supply chain and finds that a single tier-two supplier provides a critical component for all final products. Which network design response most directly reduces this structural vulnerability?

  1. Increase finished-goods inventory at the central warehouse
  2. Qualify an alternate tier-two source and redesign the component for dual sourcing Correct answer.
  3. Reduce the number of distribution centers
  4. Extend payment terms to the tier-one supplier

Explanation

A single point of failure at tier two requires creating an alternate source or designing the component so it can be dual sourced. Finished-goods inventory only buffers a short disruption and does not remove the structural dependency. Distribution and payment terms do not address the component concentration.

Question 25Supply Chain Strategy and Network Design

Which statement correctly distinguishes network design from network planning?

  1. Design and planning are synonyms in supply chain management
  2. Design is done weekly; planning is done annually
  3. Design concerns only transportation rates; planning concerns only inventory
  4. Design sets the long-term structure of facilities and flows; planning allocates demand and inventory within that structure Correct answer.

Explanation

Network design is a strategic, long-horizon decision about facility locations, capacity, and flow structure. Network planning then operates within that structure on a shorter horizon, allocating demand, production, and inventory. Confusing the two horizons leads to treating structural constraints as tactical variables.

Question 26Supply Chain Strategy and Network Design

A firm's supply chain strategy is being reviewed because its product line has shifted from stable demand to frequent, hard-to-forecast demand. Which strategic response is most consistent with supply chain strategy principles?

  1. Shift the network toward responsiveness by adding capacity buffers and faster transport modes Correct answer.
  2. Keep the existing efficiency-focused network and rely on longer-range forecasts to absorb the change
  3. Extend supplier payment terms to offset the higher forecast error
  4. Reduce the number of distribution centers to lower inventory carrying cost

Explanation

Supply chain strategy must align with the demand and product characteristics it serves; when demand becomes volatile and unpredictable, responsiveness becomes more valuable than pure cost efficiency. Adding capacity buffers and faster transport increases the chain's ability to react to unpredictable demand. Cost-only levers such as fewer distribution centers or longer payment terms do not address forecast uncertainty.

Question 27Supply Chain Strategy and Network Design

In supply chain strategy, what does the term 'strategic fit' mean?

  1. The match between a firm's marketing budget and its distribution spending
  2. The consistency between the competitive strategy a firm pursues and the supply chain capabilities it builds Correct answer.
  3. The degree to which a firm's suppliers share its quality management certification
  4. The alignment of warehouse layouts with the company's organizational chart

Explanation

Strategic fit describes consistency between the customer priorities a firm chooses to compete on and the supply chain design that delivers them. A chain built for low cost will not serve a strategy built on rapid response, and vice versa. Fit is assessed at the level of competitive strategy versus supply chain capabilities, not at the level of certification, org charts, or budget matching.

Question 28Supply Chain Strategy and Network Design

A firm's product has low demand uncertainty but high value density and short shelf life. Which network design choice best reflects these characteristics?

  1. Centralize inventory in fewer facilities and use fast, premium transport to reach customers Correct answer.
  2. Increase order quantities to capture purchase economies and reduce transport frequency
  3. Locate plants next to raw material sources regardless of customer proximity
  4. Decentralize inventory widely so every market holds full stock of the item

Explanation

High value density and short shelf life make inventory holding expensive and risky, so consolidating stock in fewer locations reduces total inventory while fast transport preserves service. Decentralizing would multiply perishable inventory exposure across markets. Sourcing location and larger order quantities address different cost drivers and do not resolve shelf-life risk.

Question 29Supply Chain Strategy and Network Design

Which statement best describes the role of a distribution requirements planning (DRP) process within supply chain strategy execution?

  1. It sets the long-run number and location of plants in the network
  2. It translates downstream demand at each distribution point into time-phased replenishment requirements upstream Correct answer.
  3. It determines the competitive priorities the firm will pursue in its market
  4. It negotiates freight rates with carriers on an annual basis

Explanation

DRP works at the execution and planning level, taking demand signals from distribution points and converting them into time-phased replenishment orders that flow upstream. It does not decide long-run facility configuration, which belongs to network design, nor does it set competitive priorities. Carrier rate negotiation is a procurement activity rather than a planning process.

Question 30Supply Chain Strategy and Network Design

A firm currently ships full containers from a single offshore plant to one central warehouse. It is considering adding regional warehouses while keeping the same plant and total demand. Which outcome should the analysis expect?

  1. Total safety stock rises only if the plant also adds production capacity
  2. Total safety stock rises because demand variability must be buffered in more locations, while outbound transport distance falls Correct answer.
  3. Total safety stock is unchanged because total demand is constant across the network
  4. Total safety stock falls because each warehouse holds less inventory than the central site did

Explanation

Splitting demand across more stocking points reduces the statistical pooling benefit, so aggregate safety stock generally increases even when total demand is unchanged. At the same time, regional warehouses sit closer to customers, shortening outbound moves. The offsetting effects on inventory and transport are the core trade-off in adding echelons.

Question 31Demand Planning and Forecasting

In demand planning, which time series component is best described as recurring movements tied to the calendar, such as higher weekly sales every Friday?

  1. Seasonality Correct answer.
  2. Structural break
  3. Random variation
  4. Autocorrelation

Explanation

Seasonality refers to repeating patterns that follow a fixed calendar cycle, such as day-of-week, month, or holiday effects. Because the cycle length is known and repeats, seasonal indices or seasonal decomposition are the standard tools for capturing it.

Question 32Demand Planning and Forecasting

A planner wants a single number that summarizes expected demand for a future period to drive replenishment. Which forecast output most directly serves that purpose?

  1. A residual histogram
  2. A point forecast Correct answer.
  3. A tracking signal
  4. A prediction interval

Explanation

A point forecast gives the expected value for the target period and is the input replenishment logic typically consumes. Prediction intervals, residual diagnostics, and tracking signals provide uncertainty or control information around that central estimate.

Question 33Demand Planning and Forecasting

Which forecast error measure penalizes large misses disproportionately because it squares each error before averaging?

  1. Mean absolute deviation (MAD)
  2. Mean absolute percentage error (MAPE)
  3. Mean squared error (MSE) Correct answer.
  4. Mean forecast error (bias)

Explanation

MSE averages the squared errors, so a single large miss contributes far more than several small ones. MAD and MAPE use absolute values and treat errors linearly, while mean forecast error can net to near zero when positive and negative errors offset.

Question 34Demand Planning and Forecasting

Monthly demand for a component shows a clear upward trend with no meaningful seasonal pattern. Which forecasting method is the most appropriate starting choice?

  1. Naive forecast using last period's demand
  2. Holt's linear trend (double exponential smoothing) Correct answer.
  3. Seasonal naive forecast
  4. Simple moving average with a short window

Explanation

Holt's method extends exponential smoothing with a separate trend component, so it can follow a persistent upward drift. Methods that ignore trend, such as a moving average or naive forecast, will systematically lag behind a trending series.

Question 35Demand Planning and Forecasting

Which statement correctly describes the role of a forecast hierarchy in demand planning?

  1. Forecasts may be produced at multiple aggregation levels and reconciled so that totals are consistent across levels. Correct answer.
  2. Each level of the hierarchy must use a different forecasting algorithm by policy.
  3. Hierarchies are used only for financial reporting and have no effect on operational planning.
  4. Forecasts are built at the most detailed level and simply summed upward with no reconciliation.

Explanation

A forecast hierarchy organizes demand by product, customer, channel, or geography, and reconciliation aligns bottom-up and top-down forecasts so levels agree. This improves consistency between operational and financial plans while allowing each level to use the most suitable method.

Question 36Demand Planning and Forecasting

A demand planner is choosing a forecast horizon. Which consideration most directly determines how far ahead the forecast must extend?

  1. The number of products in the portfolio
  2. The number of historical periods available in the data warehouse
  3. The lead time and planning cycle of the decision the forecast will support Correct answer.
  4. The smoothing constant selected for exponential smoothing

Explanation

Forecast horizon should match the decision it serves, such as procurement lead time, production scheduling window, or capacity planning cycle. Longer horizons generally increase uncertainty, so extending beyond the decision's needs adds error without adding value.

Question 37Demand Planning and Forecasting

In an S&OP consensus demand review, which input is typically contributed by the sales and marketing function rather than by statistical forecasting?

  1. Planned promotional lift and new product launch expectations Correct answer.
  2. Forecast error tracking against the naive model
  3. Safety stock calculated from demand variability
  4. Baseline statistical forecast from historical shipments

Explanation

Sales and marketing contribute market intelligence such as promotions, pricing actions, customer wins, and launch plans that historical data cannot yet reflect. The statistical baseline, inventory buffers, and error tracking are generated by planning and supply functions.

Question 38Demand Planning and Forecasting

A product has 12 months of history with a strong repeating pattern every 12 months. A planner applies a seasonal naive forecast. What value will the forecast for next March take?

  1. The average of the last three months
  2. The actual demand from the most recent March Correct answer.
  3. The most recent month's demand
  4. The average of all 12 months

Explanation

A seasonal naive forecast repeats the value observed one full seasonal cycle earlier, so next March is forecast as last March's actual demand. This method is simple and often surprisingly strong when seasonality dominates and the level is stable.

Question 39Demand Planning and Forecasting

A planner computes MAPE for a spare-parts item and obtains an extremely large value even though absolute errors are small in units. What is the most likely cause?

  1. The forecast horizon was too short
  2. The data were seasonally adjusted before measuring error
  3. The forecast model has a large positive bias
  4. Several periods had actual demand at or near zero Correct answer.

Explanation

MAPE divides each error by actual demand, so periods with actual demand near zero produce huge percentage errors and can dominate the average. For intermittent or low-volume items, MAD, MSE, or scaled error measures are generally safer choices.

Question 40Demand Planning and Forecasting

Demand for a slow-moving item shows many periods with zero demand and occasional single-unit orders. Which forecasting approach is most appropriate?

  1. Holt-Winters triple exponential smoothing
  2. A 12-month simple moving average
  3. Croston's method for intermittent demand Correct answer.
  4. Linear regression on a time index

Explanation

Intermittent demand is characterized by many zero periods interspersed with occasional nonzero demand, which standard smoothing methods handle poorly. Croston's method separately smooths the size of nonzero demands and the interval between them, producing more sensible estimates for slow movers.

Question 41Demand Planning and Forecasting

A planner observes a tracking signal that has drifted steadily above +4 for several consecutive periods. What does this most likely indicate?

  1. The forecast is unbiased and performing well
  2. The error metric has been computed with squared errors
  3. Demand has become perfectly stable
  4. The forecast is persistently under-forecasting actual demand Correct answer.

Explanation

A tracking signal compares cumulative forecast error to MAD, so a sustained large positive value signals systematic bias. A positive signal means actuals are exceeding forecasts, indicating persistent under-forecasting that warrants model or parameter review.

Question 42Demand Planning and Forecasting

A company wants to compare forecast accuracy across products with very different demand volumes. Which measure best supports that comparison?

  1. Mean squared error in squared units
  2. Mean absolute deviation in units
  3. Mean absolute scaled error (MASE) Correct answer.
  4. Cumulative forecast error in units

Explanation

MASE scales the forecast error by the in-sample error of a naive benchmark, making it unit-free and comparable across series of different magnitudes. Absolute and squared unit-based measures are dominated by high-volume items and cannot be fairly compared across products.

Question 43Demand Planning and Forecasting

In a top-down forecasting approach within a product hierarchy, how is the lower-level forecast typically derived?

  1. By allocating an aggregate forecast to lower levels using historical proportions Correct answer.
  2. By applying a naive forecast at every level simultaneously
  3. By forecasting each SKU independently and summing the results
  4. By discarding the aggregate and using only judgmental input

Explanation

Top-down forecasting projects the aggregate forecast down to detailed levels using historical mix proportions or similar allocation rules. This is useful when aggregate data are more reliable, though it can miss SKU-level dynamics that bottom-up methods capture.

Question 44Demand Planning and Forecasting

A new product has no sales history, but it is a variant of an existing product line with well-documented demand. Which forecasting technique is most suitable?

  1. Analogous forecasting based on the similar existing product Correct answer.
  2. Holt-Winters seasonal smoothing on the new product's own history
  3. Naive forecast using the new product's first order
  4. Croston's method applied to zero history

Explanation

Analogous forecasting transfers the demand pattern of a comparable existing product to a new item, providing a defensible starting forecast when no history exists. Once real demand accumulates, statistical methods can replace or blend with the analogy.

Question 45Demand Planning and Forecasting

A demand planner notices that a forecast model fits historical data extremely well but performs poorly on the most recent periods. What is the most likely explanation?

  1. The model has overfit the historical data and does not generalize Correct answer.
  2. The model is underfitting the data
  3. The error metric was calculated incorrectly
  4. The forecast horizon was set too long

Explanation

Overfitting occurs when a model captures noise or idiosyncratic history rather than the underlying pattern, yielding excellent in-sample fit but weak out-of-sample accuracy. Holdout validation and simpler models are common remedies.

Question 46Demand Planning and Forecasting

A company introduces a new distribution channel, and demand begins shifting from its traditional retail channel to the new online channel. How should the demand planner treat the total company-level forecast?

  1. Increase the smoothing constant to hide the shift
  2. Recognize that channel-level mix is changing while the total may remain stable or shift, and re-estimate the mix Correct answer.
  3. Assume the total is unaffected and continue using the old channel mix
  4. Apply a seasonal naive forecast to each channel independently

Explanation

Channel shifts change the mix of demand even when total company demand is stable, so channel-level forecasts must be re-estimated to avoid stock imbalances. The aggregate forecast should be reviewed separately from the mix assumptions.

Question 47Demand Planning and Forecasting

Which statement best describes the relationship between forecast accuracy and safety stock in an inventory policy?

  1. Better forecast accuracy generally reduces the safety stock needed to achieve a given service level Correct answer.
  2. Safety stock is determined solely by the smoothing constant used
  3. Forecast accuracy has no effect on safety stock because safety stock depends only on lead time
  4. Safety stock must increase as forecast accuracy improves to maintain service levels

Explanation

Safety stock buffers against forecast error and lead-time variability, so reducing forecast error lowers the buffer required for a target service level. Lead time still matters, but it is not the only determinant.

Question 48Demand Planning and Forecasting

A demand planner is preparing a rolling 18-month forecast for capacity planning. Why is judgmental adjustment of the statistical baseline often appropriate at this horizon?

  1. Judgmental forecasts are always more accurate than statistical forecasts
  2. Long horizons include events such as capacity investments, contracts, and market entries that history alone does not capture Correct answer.
  3. Statistical models cannot process more than 12 months of data
  4. Capacity planning requires no forecast at all

Explanation

At long horizons, known future events and strategic changes are not reflected in historical patterns, so structured judgment adds information. The statistical baseline remains useful, but it should be overlaid with documented assumptions and reviewed in consensus.

Question 49Demand Planning and Forecasting

A product's demand shows both a trend and a repeating annual pattern with stable amplitude. Which method is designed to capture both components simultaneously?

  1. Naive forecast
  2. Croston's method
  3. Holt-Winters triple exponential smoothing Correct answer.
  4. Simple exponential smoothing

Explanation

Holt-Winters maintains level, trend, and seasonal components, updating each with its own smoothing parameter. This makes it suitable for series where both trend and stable seasonality are present.

Question 50Demand Planning and Forecasting

A planner compares two models on the same holdout period. Model A has a lower MAD but a tracking signal that drifts strongly positive; Model B has slightly higher MAD but a tracking signal near zero. Which conclusion is most defensible?

  1. Both models are equivalent because only MAD matters
  2. Model A should be rejected because its tracking signal is positive
  3. Model A is clearly better because MAD is lower
  4. Model B may be preferable because it is less biased, even though its average absolute error is slightly higher Correct answer.

Explanation

A lower MAD reflects smaller average absolute errors, but a drifting tracking signal reveals systematic bias that can cause persistent over- or under-stocking. Model B trades a small accuracy loss for much lower bias, which is often the better operational choice.