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| Section | Objectives |
|---|---|
| CPIM Part 2: Strategic Planning and Execution | - Detailed Scheduling and Planning - Strategic Management of Resources - Execution and Control of Operations - Master Planning of Resources - Continuous Improvement and Quality Management |
| CPIM Part 1: Supply Chain Fundamentals | - Operations Planning - Demand Management - Supply Management Fundamentals - Supply Chain Basics |
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364. Frage
An example of a flexibility metric for an organization Is:
Antwort: B
Begründung:
A flexibility metric is a measure of how well an organization can adapt to changes in demand, supply, or technology. Flexibility metrics can be classified into three categories: volume flexibility, mix flexibility, and new product flexibility. Volume flexibility is the ability to adjust the output level to meet fluctuations in demand. Mix flexibility is the ability to produce different types of products or services with the same resources. New product flexibility is the ability to introduce new products or services quickly and efficiently. Cycle time is an example of a flexibility metric, as it measures the time required to complete a process or activity, from start to finish. Cycle time can indicate the responsiveness and agility of an organization, as shorter cycle times imply faster delivery, lower inventory, and higher customer satisfaction. Cycle time can also reflect the efficiency and quality of an organization, as shorter cycle times imply less waste, fewer errors, and lower costs. Therefore, cycle time is a relevant metric for assessing the flexibility of an organization. Reference := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 29. CPIM Part 2 Learning System, Version 8.0, Module 3, Section A, Topic 3.
365. Frage
An organization is retiring an old server out of the data center. This server was used to store and process sensitive information. The server is being sent off-site to a recycling center. Which declassification method should be performed prior to it being sent off-site?
Antwort: D
366. Frage
Which of the following stock location systems would you use in a repetitive manufacturing, lean environment?
Antwort: A
Begründung:
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.
367. Frage
Which of the following data elements is required for a manufacturing routing?
Antwort: D
Begründung:
The correct answer is B. Work center .
A manufacturing routing defines the path an item follows through production. It identifies the operations to be performed and where they are performed. Therefore, a work center is a required routing data element. Queue time may be used in scheduling or lead-time calculations, order quantity is not a routing element, and efficiency factor is a work-center/capacity parameter rather than the required routing identifier.
Exact extract: "The time material spends waiting to be processed at a work centre or resource; in effect the difference between when the operation should start and when it actually starts. Queue time may only be calculated during the scheduling process or averaged using historical data." The practice material also confirms that routing is tied to operations and work centers: "Existing queue time can be eliminated if a job's priority is high enough to bypass all other jobs waiting at the work center." Therefore, the required routing data element among the options is work center .
368. Frage
If the total part failure rate of a machine is 0.00055 failures per hour, what would be the mean time between failures (MTBF) in hours?
Antwort: D
Begründung:
The mean time between failures (MTBF) is the inverse of the failure rate. The failure rate is givenas 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
369. Frage
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