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| Section | Objectives |
|---|---|
| Topic 1: Distribution and Operations Management | - Introduction to Distribution Network - Stock Management - Order Management - Transport Management - Warehouse Management |
| Topic 2: Demand Planning and Forecasting | - Issues and Trade-offs in Global Supply Chain Management - Demand Forecasting and Purchase Price Variance (PPV) Savings - Integrated View of Procurement, Manufacturing and Operations Management - Supply Chain Issues for Short Life Cycle Products - Revenue Management - Spreadsheet Newsvendor Models |
| Topic 3: Major Supply Chain Issues: Sourcing Materials and Services | - Role of Logistics in Supply Chains - Introduction to Global Supply Chain Management - Major Challenges in Supply Chain Management Today - Inventory Management - Developing Productive Supplier Relationships in a Competitive Market |
| Topic 4: E-Supply Chain Management | - Big Data and IoT in Supply Chain - Modern Fulfilment Tools and Applications in Supply Chain - Information Flows and Information Systems Integration - Warehouse Management System (WMS) - Differences Between Logistics and Supply Chain Management |
| Topic 5: Principles of Supply Chain Management & Logistics | - Factors Affecting Supply Chain Management - Management Components of Supply Chain Management - Supply Chain Processes - Introduction to Supply Chain Management |
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NEW QUESTION # 77
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 # 78
Successful collaborative planning, forecasting and replenishment must be built on a foundation of
Answer: D
Explanation:
Successful CPFR depends on data synchronization and established standards for exchanging information
. Collaboration is ineffective when trading partners use inconsistent product identifiers, conflicting master data, different definitions, or incompatible communication formats. Before organizations can jointly develop forecasts and replenishment plans, they must ensure that the information being exchanged is accurate, comparable, timely, and consistently interpreted.
Data synchronization aligns critical information such as SKU identifiers, locations, inventory data, product attributes, units of measure, promotional information, and planning parameters. Established information- exchange standards then provide a structured method for transmitting forecasts, orders, inventory positions, and exception information between partners.
A single forecasting methodology is not required. In fact, CPFR recognizes that a retailer and supplier may initially generate different forecasts because each possesses different information and perspectives. The process identifies meaningful exceptions and reconciles them collaboratively. Similarly, organizations do not have to use the same logistics carrier to participate successfully in CPFR.
The essential technical foundation is therefore synchronized information combined with agreed standards for exchanging it. Without this foundation, apparent forecast differences may simply result from inconsistent data rather than genuine demand assumptions.
Therefore, option C is correct.
Reference Topic: Digital Supply Chain - Data Synchronization, Standards, and CPFR Information Exchange.
NEW QUESTION # 79
The following facility location technique uses fixed and variable costs to analyze potential locations:
Answer: A
Explanation:
The break-even model evaluates candidate facility locations by comparing their fixed and variable cost structures across different expected output volumes. Each location can be represented by a total-cost equation in which fixed costs remain constant over the relevant operating range and variable costs increase with production or throughput.
For a location , the basic relationship is:
Total Cost = Fixed Cost + (Variable Cost per Unit × Volume).
Management can graph or mathematically compare these cost functions to identify the volume ranges at which each location is economically preferable. Intersections between cost lines are break-even points-the output levels at which two alternatives have equal total cost.
The weighted-factor rating model serves a different purpose. It combines quantitative and qualitative location factors using assigned weights and scores. Business-cluster analysis examines advantages of geographic concentrations of related companies and institutions. Mean absolute deviation is principally a forecast-error measure rather than a facility-location cost model.
The exact facility-location question identifies the break-even model as the technique using fixed and variable costs.
Reference Topic: Supply Chain Strategy and Global Context - Facility Location Analysis and Break-Even Models.
NEW QUESTION # 80
The impact of the lack of coordination on supply chain processes decreases for the following measure.
Answer: C
NEW QUESTION # 81
Cycle inventory is primarily held to
Answer: B
Explanation:
Cycle inventory is the average inventory created when a supply-chain stage orders or produces in quantities larger than the immediate rate of customer consumption. The principal economic justification is to exploit economies of scale in purchasing, production, ordering, and transportation and thereby reduce total supply- chain cost.
For example, placing a purchase order may involve administrative and transportation expenses that are incurred regardless of whether the order contains 10 units or 1,000 units. Similarly, manufacturing may require a setup each time a production run begins. By processing a larger lot, these fixed costs can be distributed across more units. That reduces the ordering, setup, or transportation cost per unit.
The trade-off is that larger lots produce more cycle inventory and consequently greater holding cost. Effective inventory management therefore does not simply maximize lot size. Instead, it balances scale economies against the cost of carrying additional inventory.
A diseconomy of scale would mean cost increases as the activity expands, which would provide no economic justification for intentionally carrying cycle inventory. Likewise, increasing overall supply-chain cost is contrary to the objective of inventory optimization.
Therefore, option D correctly expresses both the economic mechanism and objective.
Reference Topic: Inventory and Warehousing - Cycle Inventory and Economies of Scale.
NEW QUESTION # 82
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