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| Section | Objectives |
|---|---|
| Topic 1: Demand Planning and Scheduling | - Production and Supply Scheduling - Demand Planning - Demand and Supply Alignment |
| Topic 2: Procurement | - Procurement Strategies - Supplier and Sourcing Management - Procurement Processes |
| Topic 3: Supply Chain Analytics and Artificial Intelligence | - Real-Time Monitoring - Supply Chain Risk Management - Automation and Optimization - Predictive Analytics |
| Topic 4: Inventory and Warehousing | - Inventory Cost and Availability - Warehousing - Inventory Management |
| Topic 5: Transportation and Logistics | - Logistics Operations - Delivery and Distribution - Transportation Management |
| Topic 6: Manufacturing and Operations Management | - Operations Management - Manufacturing Processes - Supply and Production Coordination |
| Topic 7: Supply Chain Management Fundamentals | - Supply Chain and Organizational Competitiveness - Integrated Supply Chain Processes - Supply Chain Management Concepts and Principles - Logistics and Supply Chain Management |
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NEW QUESTION # 97
In a continuous replenishment program, the wholesaler or manufacturer replenishes a retailer regularly based on
Answer: C
Explanation:
A Continuous Replenishment Program is designed to replenish inventory according to actual downstream consumption , making the retailer's point-of-sale data the most appropriate information source. POS information records what consumers are actually purchasing rather than what another supply-chain stage believes consumers may purchase.
By transmitting retailer POS data upstream, the wholesaler or manufacturer can detect changes in sell-through rapidly and adjust replenishment quantities accordingly. This reduces reliance on distorted order signals and helps maintain inventory closer to genuine market requirements. Frequent replenishment based on consumption can improve product availability while reducing unnecessary safety stock and excessive pipeline inventory.
Option A is incorrect because wholesaler POS information does not directly represent consumption by the retailer's customers. Options B and D rely on forecasts; forecasts remain useful for capacity, procurement, and medium-term planning, but a CRP's principal operating signal is actual downstream sales or inventory withdrawal rather than a periodically generated forecast.
This demand-driven architecture also helps reduce information distortion and is therefore an important coordination mechanism within a multi-stage supply chain. Standard supply-chain coordination materials explicitly define CRP replenishment as being based on the retailer's POS data.
Reference Topic: Demand Planning - Continuous Replenishment, POS Data, and Demand Visibility.
NEW QUESTION # 98
A company is considering Denver, Seattle, and Portland as candidate locations for a new facility. For the weighted-factor rating technique, the company is evaluating each location on three factors (distance to customers, labor costs, and utility costs). The factors are weighted 0.5, 0.3, and 0.2, respectively. Denver received scores of 90, 77, and 65 for the three factors. Seattle received scores of 87, 82, and 70. Portland received scores of 84, 86, and 75. Which of the three cities is ranked second by the weighted-factor rating technique?
Answer: C
Explanation:
The weighted-factor rating technique multiplies every site's score for each decision criterion by the assigned importance weight and then adds the weighted values.
For Denver :
(90 × 0.5) + (77 × 0.3) + (65 × 0.2)
= 45 + 23.1 + 13
= 81.1
For Seattle :
(87 × 0.5) + (82 × 0.3) + (70 × 0.2)
= 43.5 + 24.6 + 14
= 82.1
For Portland :
(84 × 0.5) + (86 × 0.3) + (75 × 0.2)
= 42 + 25.8 + 15
= 82.8
Portland therefore ranks first with 82.8, Seattle ranks second with 82.1 , and Denver ranks third with 81.1.
Thus, B is correct.
Weighted-factor analysis is valuable when location decisions involve several competing criteria that cannot be assessed using cost alone. The weighting process makes strategic priorities explicit and provides a consistent comparative framework across alternatives. The same problem and ranking are confirmed in facility-location instructional material.
Reference Topic: Supply Chain Strategy and Global Context - Weighted-Factor Facility Location Analysis.
NEW QUESTION # 99
A retailer consistently forecasts demand substantially higher than actual customer sales. Which outcome is MOST likely if the forecast bias is not corrected?
Answer: B
Explanation:
A persistent forecast that exceeds actual demand has a positive or overforecast bias . If replenishment and production decisions are based on that forecast, the organization will repeatedly acquire or manufacture more inventory than customers consume. The most likely result is therefore excess inventory and higher holding costs .
The financial consequences can extend beyond storage expense. Excess inventory ties up working capital and increases exposure to obsolescence, deterioration, markdowns, insurance, handling, and shrinkage. For products with short life cycles, an overforecast can create especially serious financial losses because unsold inventory may lose value rapidly.
Forecast bias should therefore be measured separately from random forecast error. A forecasting process can produce errors in both directions, but persistent overestimation signals a systematic problem requiring correction to the forecasting assumptions, data, model, or planning process.
The ACSCP curriculum gives explicit attention to demand forecasting, short-life-cycle supply-chain issues, inventory management, and integration between demand planning and operations.
Consequently, option B is correct: persistent overforecasting normally creates inventory above economically justified levels.
Reference Topic: Inventory, Forecasting and Demand Planning - Forecast Bias, Excess Inventory, and Demand Planning Accuracy.
NEW QUESTION # 100
All costs that do not vary with the size of the order but are incurred each time an order is placed are referred to as
Answer: B
Explanation:
A fixed ordering cost is incurred each time a replenishment order is initiated and is substantially independent of the number of units contained in that order. In classical cycle-inventory and EOQ terminology, this cost is commonly represented by S . Examples can include administrative processing, supplier coordination, production setup, shipment dispatch, and fixed transportation or receiving activities associated with an order.
The economic significance of S is that it creates an incentive to consolidate demand into larger replenishment lots. If S is high, frequent small orders become expensive because the same fixed cost is repeatedly incurred.
Increasing the lot size reduces the number of orders per year and therefore reduces annual ordering cost. The disadvantage is that larger replenishment quantities increase average cycle inventory and consequently increase holding cost.
Material cost, represented in this framework by C, concerns the unit acquisition value of the product and varies with the quantity purchased. Holding cost relates to maintaining inventory through time. Purchase price is therefore not the definition requested.
The EOQ framework balances annual fixed ordering cost against annual inventory holding cost to identify an economically efficient replenishment quantity. Thus B correctly identifies both the cost category and its conventional notation.
Reference Topic: Inventory and Warehousing - Fixed Ordering Cost, Cycle Inventory, and EOQ.
NEW QUESTION # 101
Problems in learning within organizations that contribute to the bullwhip effect are referred to as
Answer: C
Explanation:
Behavioral obstacles are organizational learning and decision-making problems that contribute to information distortion and consequently strengthen the bullwhip effect. These obstacles arise because supply- chain participants frequently evaluate events from their own local perspective instead of examining the end-to- end causes and consequences of variability.
Typical behavioral problems include focusing only on local outcomes, reacting to immediate symptoms rather than root causes, blaming other supply-chain stages for fluctuations, failing to learn systematically from previous decisions, and behaving opportunistically because trust between partners is weak. Such behavior prevents organizations from recognizing how their own actions influence downstream and upstream partners.
This category differs from information-processing obstacles, which concern distorted demand information and forecasting practices; pricing obstacles, which arise from promotional pricing or discount structures; and incentive obstacles, which result from performance measures that reward behavior inconsistent with overall supply-chain objectives.
The established supply-chain coordination framework defines behavioral obstacles specifically as problems in organizational learning that contribute to information distortion.
Reducing behavioral obstacles requires transparency, trust, shared performance metrics, root-cause analysis, and continuous learning across organizational boundaries.
Reference Topic: Inventory, Forecasting and Demand Planning - Bullwhip Effect and Behavioral Obstacles.
NEW QUESTION # 102
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