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| Certification Vendor: | ASCM (APICS) |
|---|---|
| Exam Name: | APICS Certified in Planning and Inventory Management (CPIM 8.0) |
| Exam Number: | CPIM-8.0 |
| Real Exam Qty: | 150 |
| Related Certifications: | CLTD - Certified Logistics, Transportation and Distribution CSCP - Certified Supply Chain Professional |
| Certificate Validity Period: | 5 years (requires maintenance points for renewal) |
| Exam Duration: | 210 minutes |
| Passing Score: | 300 (scaled score, range 200–350) |
| Exam Format: | Scored + pretest questions, Multiple-choice questions, Scenario-based questions |
| Exam Price: | $1,265 (ASCM member) / $1,755 (non-member) |
| Available Languages: | English, French, Japanese, Chinese (Simplified), German, Spanish |
| Recommended Training: | APICS CPIM Learning System |
| Exam Registration: | ASCM Official Registration |
| Sample Questions: | APICS CPIM-8.0 Sample Questions |
| Exam Way: | Computer-based testing; available at authorized test centers or via online remote proctoring |
| Pre Condition: | No formal prerequisites; no degree, work experience or references required |
| Official Syllabus URL: | https://www.ascm.org/certification/cpim/ |
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NEW QUESTION # 448
A company with stable demand that uses exponential smoothing to forecast demand would typically use a:
Answer: C
Explanation:
Exponential smoothing is a forecasting method that uses weighted averages of past observations to predict future values. The weights decrease exponentially as the observations get older, giving more importance to recent data. Exponential smoothing can be applied to data with different patterns, such as level, trend, or seasonality. Depending on the pattern, different exponential smoothing models and parameters are used. Two common parameters are alpha () and beta ():
Alpha is the smoothing parameter for the level component of the forecast. The level component is the average or typical value of the data. Alpha can range from 0 to 1, not inclusive. A low alpha value gives more weight to older observations and produces a smoother forecast. A high alpha value gives more weight to recent observations and produces a more responsive forecast.
Beta is the smoothing parameter for the trend component of the forecast. The trend component is the direction and rate of change of the data over time. Beta can also range from 0 to 1, notinclusive. A low beta value gives more weight to older trends and produces a smoother forecast. A high beta value gives more weight to recent trends and produces a more responsive forecast.
A company with stable demand that uses exponential smoothing to forecast demand would typically use a low alpha value. Stable demand means that the data do not have significant variations, fluctuations, or patterns over time. In this case, a simple exponential smoothing model that estimates only the level component is sufficient. A low alpha value would produce a smooth and stable forecast that reflects the average demand level and does not react to random noise or outliers. The other options are not correct, as they either refer to a different parameter (beta) or a different scenario (high alpha value):
A low beta value would be used for data with a trend component, but a stable demand does not have a trend component. A low beta value would produce a smooth and stable trend forecast that does not react to random noise or outliers.
A high beta value would also be used for data with a trend component, but a stable demand does not have a trend component. A high beta value would produce a responsive and dynamic trend forecast that reflects the recent changes in the data.
A high alpha value would be used for data with a high variability or uncertainty, but a stable demand does not have these characteristics. A high alpha value would produce a responsive and dynamic level forecast that reflects the recent changes in the data. References:
[CPIM Part 2 - Section A - Topic 3 - Demand Management]
Exponential Smoothing for Time Series Forecasting
What is alpha and beta in exponential smoothing?
Value of alpha and beta in Holt's exponential smoothing method
NEW QUESTION # 449
A multinational organization acquires a subsidiary. The acquisition results in the need to integrate a large population of new users into the organization's corporate cloud. What is the MAIN benefit of the organization's Federated Identity Management (FIM) system to address the need?
Answer: C
NEW QUESTION # 450
Global outsourcing and shared suppliers serving an industry are drivers of which category of risk?
Answer: B
Explanation:
Global outsourcing and shared suppliers serving an industry are drivers of loss of intellectual property risk, which is the risk of losing proprietary information or technology to competitors or other parties. This risk can arise from inadequate protection of data, contracts, patents, or trade secrets, or from intentional or unintentional disclosure by suppliers or employees. Loss of intellectual property can result in reduced competitive advantage, lower market share, or legal disputes. Reference := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 11. CPIM Part 2 Learning System, Version 8.0, Module 1, Section A, Topic 4.
NEW QUESTION # 451
Which of the following actions will result In lower inventory levels?
Answer: D
Explanation:
Reducing replenishment lead times will result in lower inventory levels because it means that the time between placing an order and receiving the goods is shorter. This reduces the need to hold excess inventory to cover the uncertainty and variability of demand and supply. Reducing replenishment lead times can also improve customer service levels, as orders can be fulfilled faster and more reliably. Level loading the master production schedule (MPS), increasing customer service level, and decentralizing inventory locations are all actions that will increase inventory levels, as they require more inventory to buffer against fluctuations in demand and supply, and to ensure availability at multiple locations. Reference: Inventory Management: Lead Time Reduction, APICS CPIM 8 Planning and Inventory Management | ASCM
NEW QUESTION # 452
A house of quality (HOQ) chart aligns which pair of functions?
Answer: B
Explanation:
A house of quality (HOQ) chart is a product planning matrix that is used to show how customer requirements relate directly to the ways and methods companies can use to achieve those requirements. HOQ charts are part of the quality function deployment (QFD) method, which helps to ensure quality in product development and service delivery. HOQ charts use a design that resembles the outline of a house, with different sections representing different aspects of the product or service1. One of the functions that a HOQ chart aligns is competitive analysis with product design. Competitive analysis is the process of evaluating the strengths and weaknesses of the competitors in the market, and identifying the opportunities and threats they pose to the company.Product design is the process of creating the features, functions, and specifications of the product or service that meet the customer needs and expectations. A HOQ chart aligns these two functions by comparing the company's product design with the competitors' product design, and showing how well the company's product design satisfies the customer requirements. This helps the company to identify the areas of improvement, differentiation, and innovation in the product design, and to create a competitive advantage in the market23. References: 1 House of Quality Tutorial - How to Fill Out a House of Quality | ASQ 4 2 House of quality | Explanation with example - IONOS 5 3 CPIM Exam References - Association for Supply Chain Management 1
NEW QUESTION # 453
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