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APICS CPIM-8.0 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Supply Chains and Strategy: This section of the exam measures the skills of Supply Chain Managers and covers various aspects related to supply chains, including their interaction with the environment and strategic objectives. It delves into developing organizational strategies, functional strategies, performance monitoring using KPIs, risk management, capital equipment management, and sustainability strategies. A key skill assessed here is "analyzing market trends."
Topic 2
  • Demand: This section evaluates the abilities of Demand Analysts in managing demand through forecasting techniques. It explores sources of demand data for accurate forecasting and evaluating forecast performance to improve future predictions. One important skill evaluated is "forecasting demand accurately."
Topic 3
  • Inventory: The inventory module evaluates the skills of Inventory Controllers, covering inventory planning principles such as determining optimal stock levels based on costs versus benefits analysis metrics like ABC classification systems used globally today along with itemized inventory control mechanisms ensuring efficient stock turnover rates while minimizing holding costs.| Distribution: This section measures the abilities of Logistics Coordinators, focusing on distribution network design principles that optimize replenishment orders efficiently while considering reverse logistics practices aimed at reducing waste through proper disposal methods according to environmental regulations.
Topic 4
  • Detailed Schedules: This section assesses the skills of Production Planners by focusing on detailed scheduling processes for production or service delivery environments. It includes methods like PAC (Programmable Automation Controller) scheduling techniques to manage detailed production timelines efficiently across different materials required for manufacturing or service delivery processes.

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APICS Certified in Planning and Inventory Management (CPIM 8.0) Sample Questions (Q223-Q228):

NEW QUESTION # 223
A company can easily change Its workforce, but inventory carrying costs are high. Which of the following strategies would be most appropriate during times of highly fluctuating demand?

Answer: D

Explanation:
Producing to demand is a strategy that adjusts the production output to match the actual customer demand. This strategy is most appropriate during times of highly fluctuating demand, as it can reduce the inventory carrying costs and avoid overproduction or underproduction. Producing to demand can also improve customer satisfaction and responsiveness, as well as reduce waste and obsolescence. However, producing to demand requires a flexible and adaptable workforce that can easily change its capacity and skills to meet the changing demand patterns. The other options, producing to backorders, producing at a constant level, and producing to the sales forecast, are not as effective as producing to demand during times of highly fluctuating demand, as they can result in higher inventory costs, lower customer service, and lower profitability. Reference:
Demand-Driven Manufacturing: What It Is and Why You Need It
Demand-Driven Manufacturing: How to Optimize Your Production Process
Demand-Driven Manufacturing: A Guide for Modern Manufacturers


NEW QUESTION # 224
Based on the above table, calculate the mean absolute deviation (MAD).

Answer: A

Explanation:
The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average. Conversely, lower values correspond to data points bunching closer to it. The mean absolute deviation is also known as the mean deviation and average absolute deviation1.
The formula for the mean absolute deviation is the following:
MAD = (#|X - X#|) / N
Where:
*X = the value of a data point
*X# = the mean of the data points
*|X - X#| = the absolute deviation of a data point from the mean
*N = the number of data points
*# = the summation symbol
Based on the table, we can calculate the MAD as follows:
*X# = (80 + 50 + 50 + 75) / 4 = 63.75
*|X - X#| = |80 - 63.75|, |50 - 63.75|, |50 - 63.75|, |75 - 63.75| = 16.25, 13.75, 13.75, 11.25
*MAD = (16.25 + 13.75 + 13.75 + 11.25) / 4 = 6.25
Therefore, the correct answer is B.
References := 1 CPIM Part 2 Exam Content Manual, Domain 3: Plan and Manage Demand, Task 3.1:
Develop, validate, and review demand plans, p. 23.


NEW QUESTION # 225
Risk pooling would work best for items with:

Answer: A

Explanation:
Risk pooling is the concept of reducing the variability in demand for raw materials or finished goods by aggregating demand across multiple locations or products1. By doing so, the demand fluctuations are more likely to cancel out each other, resulting in a lower safety stock and inventory cost. Risk pooling works best for items with high demand uncertainty and long lead times, because these items have the highest risk of stockouts and the highest inventory holding cost. If the demand uncertainty is low, there is less need for risk pooling, as the demand can be easily forecasted and met. If the lead time is short, the replenishment orders can be placed more frequently and adjusted to the actual demand, reducing the need for safety stock and risk pooling2. References: 1 Inventory risk pooling definition - AccountingTools 3 2 Supply Chain Management: Risk pooling - UNB 4


NEW QUESTION # 226
A healthcare organization's new cloud-based customer-facing application is constantly receiving security events from dubious sources. What BEST describes a security event that compromises the confidentiality, integrity, or availability of the application and data?

Answer: B


NEW QUESTION # 227
A webmaster has repeatedly used the same certificate sign request to renew an organization's website Secure Sockets Layer (SSL) certificate. What is the MOST significant increased risk for the organization?

Answer: B


NEW QUESTION # 228
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