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Correct Answer: A

Creating short-term wins is a useful element in the change process because it helps to build momentum, motivate the team, and overcome resistance. Short-term wins are concrete achievements that demonstrate the benefits of the change and provide evidence that the efforts are paying off. They also help to create a sense of urgency and alignment among the stakeholders involved in the change process. Calculating a break-even point, performing a SWOT analysis, and developing key performance indicators (KPIs) are all important tools for planning and evaluating the change process, but they are not as effective as creating short-term wins in generating support and commitment for the change. References: Change Management: The Kotter Model, APICS CPIM 8 Planning and Inventory Management | ASCM

Correct Answer: B

Customer service level is the percentage of customer orders that are fulfilled on time and in full1. A company that prioritizes customers A, B, and C, filling orders in that sequence, will have different impacts on the service levels for customers B and C, depending on the availability of stock and theorder quantities. Based on the table in the exhibit, customer B will have a higher service level than customer C, because customer B will receive all the ordered units for item 468 and item 617, while customer C will only receive partial units for item 468 and none for item 617. Customer C will also receive none of the ordered units for item 643, while customer B will receive some of them. Therefore, customer B will have a higher percentage of orders fulfilled on time and in full than customer C. References: Customer Service Level: Definition, Standards, Measuring | SupportYourApp

Correct Answer: A

Third-party logistics (3PL) services are external providers that handle various supply chain functions for a firm, such as transportation, warehousing, inventory management, and order fulfillment. By outsourcing these functions to a 3PL, a firm can reduce its investment in fixed assets, such as trucks, trailers, warehouses, and equipment. This can improve the firm's liquidity and return on assets ratios, as well as lower its depreciation and maintenance costs. However, usinga 3PL does not necessarily affect the firm's retained earnings, accounts receivable, or intangible assets, which are influenced by other factors, such as profitability, sales, and goodwill.

Correct Answer: A

Pyramid forecasting is a method of forecasting that uses a hierarchical structure of data to improve the accuracy and consistency of the forecasts. The lowest level of the pyramid represents the most detailed data, such as individual product items, while the higher levels represent more aggregated data, such as product families or total business. The "roll up" process is the process of aggregating the forecasts from the lower level to the higher level, starting with the most detailed level. This process helps to align the forecasts across different levels and reduce the forecast error

Correct Answer: B

A control chart is a tool that shows process changes and random variation over time. It is a type of statistical process control (SPC) that monitors the performance of a process and detects whether it is in or out of control. A control chart consists of a center line, an upper control limit, and a lower control limit. The center line represents the average or target value of the process. The control limits represent the acceptable range of variation withinthe process. If the data points fall within the control limits, the process is considered stable and in control. If the data points fall outside the control limits, or show a non-random pattern, the process is considered unstable and out of control, indicating the presence of special causes of variation that need to be investigated and eliminated.

References : Managing Supply Chain Operations, Chapter 9: Quality Management, Section 9.2: Statistical Process Control CPIM ontent Manual, Module 8: Quality, Technology and Continuous Improvement, Section 8.1: Quality Management, Subsection 8.1.2: Statistical Process Control