Free APICS CPIM-8.0 Practice Exam with Questions & Answers | Set: 8

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 = (Σ|X – X̄|) / N

Where:

•X = the value of a data point

•X̄ = the mean of the data points

•|X – X̄| = the absolute deviation of a data point from the mean

•N = the number of data points

•Σ = the summation symbol

Based on the table, we can calculate the MAD as follows:

•X̄ = (80 + 50 + 50 + 75) / 4 = 63.75

•|X – X̄| = |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.

ABC classification is a method of inventory management that categorizes items based on their annual consumption value, which is the product of the annual demand and the unit cost. Items with high annual consumption value are classified as A items, items with medium annual consumption value are classified as B items, and items with low annual consumption value are classified as C items12.

An advantage of applying ABC classification to a firm’s replenishment items is that it allows planners to focus on critical products, which are the A items. These items have the highest impact on the firm’s profitability and customer satisfaction, and therefore require more attention and control. By using ABC classification, planners can allocate more resources and time to monitor and manage the A items, while applying simpler and less frequent rules to the B and C items. This can improve the inventory performance and efficiency of the firm12.

The other options are not correct because:

•A. it distinguishes independent demand from dependent demand. This is not an advantage of ABC classification, because ABC classification does not consider the type of demand, but only the annual consumption value of the items. Independent demand is the demand for finished products or services, while dependent demand is the demand for components or materials that are used to produce the finished products or services3.

•C. it provides better order quantities than the economic order quantity (EOQ). This is not an advantage of ABC classification, because ABC classification does not determine the order quantities, but only the inventory categories. EOQ is a formula that calculates the optimal order quantity that minimizes the total inventory costs, such as ordering costs and holding costs.

•D. it allows the firm to utilize time-phased order point (TPOP). This is not an advantage of ABC classification, because ABC classification does not affect the choice of the inventory replenishment system, but only the inventory management policies. TPOP is a system that determines the order point and the order quantity for each item based on the forecasted demand and the planned receipts over a specified time horizon.

References := 1 ABC Inventory Analysis & Management | NetSuite1 2 What Is ABC Inventory Classification? | Business.org2 3 Independent Demand vs Dependent Demand: What’s the Difference? Economic Order Quantity (EOQ) - Overview, Formula, and Example Time-Phased Order Point (TPOP) - an overview | ScienceDirect Topics

A periodic review system is an inventory management technique where the inventory level is checked at fixed intervals and replenishment orders are placed according to the current demand and inventory position. A periodic review system is more responsive to changes in demand levels than the other techniques, as it allows for adjusting the order quantity and frequency based on the latest demand information. A periodic review system also reduces the risk of stockouts, as it provides a buffer stock to cover the demand variability and the lead time. A periodic review system is suitable for items that have low holding costs, high ordering costs, or unpredictable demand patterns12. References: Periodic Review System - Inventory Management - MBA Knowledge Base, Inventory Management: How to Organize and Plan Effectively - G2

Point-of-use storage is a stock location system that places inventory close to where it is needed or consumed in the production process. This reduces waste, handling, and transportation costs, and improves material flow and visibility. Point-of-use storage is a key element of a lean environment, where inventory is minimized and replenished frequently based on demand signals. References: EXAM CONTENT MANUAL PREVIEW, page 15, section 7.1.2. Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, page 462, section 13.3.

 Prevention is a risk control strategy that involves avoiding or eliminating the sources of risk. By deciding not to pursue a business opportunity in a foreign market due to political instability and currency fluctuations, the company prevented the potential losses or disruptions that could arise from these factors. Mitigation is a risk control strategy that involves reducing the impact or likelihood of risk. Recovery is a risk control strategy that involves restoring normal operations after a risk event occurs. Wait and see is a risk control strategy that involves monitoring the risk situation and taking action only when necessary. References:

CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.5: Risk Management

CPIM Part 2 Learning System, Module 4: Execution and Control of Operations, Section 4.3: Risk Management

The mean time between failures (MTBF) is the inverse of the failure rate. The failure rate is given as 0.00055 failures per hour, so the MTBF is 1/0.00055 = 1,818.2 hours. This means that the average time the machine operates without failing is 1,818.2 hours. References: MTBF Formula | How to Calculate Mean Time Between Failure? - EDUCBA, Mean time between failures - Wikipedia