The Certified in Planning and Inventory Management (CPIM 8.0) (CPIM-8.0)

A localized multi-country strategy is a type of global strategy that involves adapting products, marketing, and operations to the specific needs and preferences of each country or region where the company operates. This strategy allows the company to increase its market share by appealing to the local customers and differentiating itself from the competitors. A localized multi-country strategy requires the company to sell different product versions in different countries under different brand names, as this reflects the high degree of customization and localization that the strategy entails. The other options are not consistent with a localized multi-country strategy, as they imply a low degree of adaptation and a high degree of standardization across the markets. Selling the same products under the same brand name worldwide is a global strategy that assumes universal customer preferences and seeks economies of scale. Locating plants on the basis of maximum location advantage is a transnational strategy that balances global integration and local responsiveness. Using the best suppliers regardless of geographic location is a sourcing strategy that does not necessarily reflect the degree of localization of the products or the marketing. References:

CPIM Part 2 Exam Content Manual, p. 19

Multidomestic strategy: Global success through localization

Localization strategy - How to build with examples

A capacity-lagging strategy is a conservative approach to capacity planning that involves adding capacity only when the firm is operating at full capacity because of an increase in demand1. This strategy can help minimize costs and reduce the risk of excess capacity, but it can also lead to a disadvantage of not being able to fully meet customer demand if it rises quickly2. This can result in lost customers, revenue, and market share, as well as lower customer satisfaction and loyalty3. References:

•Lag Capacity Strategy, Lag Demand Strategy - UniversalTeacher.com

•Capacity Planning Strategies: Types, Examples, Pros And Cons - Toggl

•3 types of capacity planning strategies (with examples) - Xola

In a lean environment, the batch-size decision for planning “A” items would be done by lot-for-lot (L4L). L4L is an inventory management technique that orders exactly the quantity needed to meet the demand for each period. This minimizes the work in process, cycle time, and inventory holding costs. L4L is consistent with the lean principles of reducing batch sizes, eliminating waste, and responding to customer pull. The other options are not suitable for a lean environment, as they either order more than the demand (least total cost, min-max system, periodic order quantity) or incur more setup costs (least total cost, periodic order quantity). References:

•[CPIM Part 2 - Section A - Topic 3 - Lean and Just-in-Time]

•Optimize Production Batch Sizes

•How to determine your Lot Size - Part 1

Rough-cut capacity planning (RCCP) is a type of capacity planning method that uses the master production schedule (MPS) as its primary input. RCCP is a technique for checking the feasibility of the MPS by comparing the available capacity of critical resources (such as machines, labor, or materials) with the capacity required by the MPS. RCCP helps to identify and resolve any potential capacity problems or bottlenecks at an aggregate level, before committing to the MPS. RCCP can also be used to evaluate alternative MPS scenarios and to support the sales and operations planning (S & OP) process12. References: 1 Rough Cut Capacity Planning (RCCP) - Definition, Example, and … 3 2 CPIM Exam References - Association for Supply Chain Management

Lot splitting is the technique of dividing a lot into smaller sub-lots that can be processed concurrently, especially when multiple machines are available. This strategy significantly reduces overall lead time by processing portions in parallel instead of sequentially.

“Lot splitting results in the shortest overall lead time… reduces total span time.”

— CPIM Practice Questions (CPIM-400PQ), BSCM Page 77

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.

Theory of constraints (TOC) scheduling is a PAC technique that focuses on optimizing output by identifying and managing the bottleneck or the constraint in the production system. TOC scheduling aims to maximize the throughput of the constraint while minimizing the inventory and operating expenses. Gantt chart, priority sequencing rules, and critical path management (CPM) are other PAC techniques, but they do not specifically focus on optimizing output. Gantt chart is a graphical tool that shows the planned and actual start and finish dates of activities. Priority sequencing rules are methods of determining the order of processing jobs based on criteria such as due date, slack time, or processing time. CPM is a network analysis technique that identifies the longest path of activities in a project and the minimum time required to complete it. References:

APICS CPIM Part 2 Exam Content Manual, p. 29

[APICS CPIM Learning System Version 8.0], Module 4, Section C, p. 4-25

Postponement is a strategy whereby the final configuration of a product is delayed as much as possible, usually until a customer order is received. Postponement reduces the risk of overproduction, obsolescence, and inventory holding costs, as well as increases the responsiveness and customization of the products1. A firm that currently produces all items to stock is implementing the concept of postponement in all new product designs. This means that the firm will produce generic or family products that can be differentiated into specific end-products later. This will result in a decrease in the number of finished items stocked, as the firm will only stock the generic or family products and not the final products. The firm will also be able to offer more product variety and flexibility to the customers, as it can customize the products according to the customer orders. Therefore, the most likely outcome of implementing postponement in all new product designs is a decrease in the number of finished items stocked. References: 1 Postponement - Wikipedia 2

 Mean time between failures (MTBF) is the average time that elapses from one unplanned breakdown to the next, under normal operating conditions. It is a useful measure of reliability because it indicates how long a repairable system typically operates before failing. Reliability is the absence of unplanned downtime, and MTBF measures how often a system stops performing as expected. The other statements are not true about MTBF. MTBF is not used for non-repairable products, as they cannot be fixed and put back into operation after a failure. For non-repairable products, mean time to failure (MTTF) is used as a measure of reliability. MTBF is not proportional to quality, as quality is a broader concept that encompasses not only reliability, but also performance, durability, and customer satisfaction. MTBF is not the same as operating life or service life, as they refer to the total time that a system can function before reaching the end of its useful life, while MTBF refers to the average time between failures within the operating life. References: Mean Time Between Failures (MTBF): How to Calculate & Increase, APICS CPIM 8 Planning and Inventory Management | ASCM