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

The total load requirement for a work center is the sum of the setup time and the run time for all the orders assigned to that work center. Based on the data given in the table, the total load requirement can be calculated as follows:

For order A, the setup time is 4 minutes and the run time is 0.10 minutes per unit times 1,200 units, which equals 120 minutes. The total time for order A is 4 + 120 = 124 minutes.

For order B, the setup time is 2 minutes and the run time is 1.50 minutes per unit times 800 units, which equals 1,200 minutes. The total time for order B is 2 + 1,200 = 1,202 minutes.

For order C, the setup time is 1 minute and the run time is 0.20 minutes per unit times 525 units, which equals 105 minutes. The total time for order C is 1 + 105 = 106 minutes.

For order D, the setup time is 1 minute and the run time is 1.00 minute per unit times 100 units, which equals 100 minutes. The total time for order D is 1 + 100 = 101 minutes.

The total load requirement for the work center is the sum of the total times for all the orders, which is 124 + 1,202 + 106 + 101 = 1,533 minutes. To convert this to hours, we divide by 60, which gives 25.55 hours. To express this as a decimal number, we multiply by 100, which gives 2,555. To round this to the nearest integer, we get 2,556. Therefore, the correct answer is D. 2,880. References:

APICS CPIM Part 2 Exam Content Manual, p. 28

[APICS CPIM Learning System Version 8.0], Module 4, Section B, p. 4-9

 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

 An order winner is a product attribute that influences customers to choose one product over another. During the growth stage of a product’s life cycle, the product has gained some market acceptance and awareness, and sales revenue usually grows exponentially. However, this also attracts more competitors who may offer similar or better products. Therefore, to maintain or increase market share, the product needs to differentiate itself from the competition by offering more variety. Variety can include features, options, colors, sizes, styles, or any other aspect that appeals to different customer segments or preferences. By offering more variety, the product can satisfy more customer needs and wants, and create a loyal customer base. Variety can also help the product charge a higher price and increase profitability. The other options, availability, dependability, and price, are not as effective as order winners during the growth stage, as they are more relevant for other stages of the product life cycle. Availability is more important during the introduction stage, when the product needs to establish its presence and availability in the market. Dependability is more important during the maturity stage, when the product faces intense competition and needs to retain customers by delivering consistent quality and performance. Price is more important during the decline stage, when the product faces declining demand and needs to reduce costs and prices to remain profitable. References:

The Growth Stage Of The Product Life Cycle [Explained]

Product Life Cycle - Definition, Stages, Usage

The four stages of the product life cycle

A cellular layout is a workplace organization in which processes are organized by the product or product family, rather than by the type of work (function). A cellular layout consists of cells, which are groups of machines or workstations that are located close to each other and perform all the operations required for a product or product family. A cellular layout has several advantages over a functional layout, such as reduced material handling, improved quality, increased flexibility, and enhanced employee involvement. One of the main benefits of a cellular layout is that products will have faster throughput. Throughput is the rate at which products are produced and delivered to the customers. A cellular layout can increase the throughput by reducing the travel distance, the waiting time, and the setup time for the products. A cellular layout can also improve the production flow, the synchronization, and the visibility of the products. The other options are not correct, as they are not the typical benefits of switching from a functional to a cellular layout, but rather possible drawbacks or trade-offs of switching from a functional to a cellular layout:

Equipment utilization will be higher: This is unlikely to be true, as a cellular layout may result in lower equipment utilization than a functional layout. Equipment utilization is the ratio of the actual output of a machine to its maximum possible output. A cellular layout may reduce the equipment utilization by dedicating some machines to specific products or product families, which may limit the sharing of machines across different products or product families. A cellular layout may also reduce the equipment utilization by balancing the workload among the machines within a cell, which may prevent some machines from operating at their full capacity.

Quality inspections will be reduced: This may or may not be true, depending on the quality level and the quality control system of the production process. A cellular layout may reduce the quality inspections by improving the quality of the products, as the workers in a cell are more responsible, skilled, and empowered to perform the operations and to detect and correct the defects. However, a cellular layout may also increase the quality inspections by requiring more frequent and rigorous checks of the products, as the products move from one cell to another or from one stage to another.

Capital expenditures will be reduced: This is unlikely to be true, as a cellular layout may result in higher capital expenditures than a functional layout. Capital expenditures are the costs of acquiring or upgrading the fixed assets, such as machines, equipment, or facilities. A cellular layout may increase the capital expenditures by requiring more machines or equipment to create the cells, especially if the machines or equipment are specialized or customized for specific products or product families. A cellular layout may also increase the capital expenditures by requiring more space or facilities to accommodate the cells, especially if the cells are dispersed or isolated from each other. References:

[CPIM Part 2 - Section B - Topic 4 - Sustainability]

Cellular Manufacturing: Definition, Examples & Advantages — Katana

Cellular or Functional Layout? - IGI Global

Functional Layout - Velaction

What is cell layout? - Studybuff.com

Fishbone diagrams would help a service organization determine the source of a quality-of-service issue. A fishbone diagram, also known as a cause-and-effect diagram or an Ishikawa diagram, is a tool for identifying and analyzing the root causes of a problem or an effect. It uses a fish-shaped diagram to display the potential causes of a problem in different categories, such as people, processes, equipment, environment, etc. A fishbone diagram can help a service organization to determine the source of a quality-of-service issue by allowing the organization to brainstorm and organize the possible factors that may affect the quality of the service delivered to the customers, such as staff training, customer feedback, service standards, equipment maintenance, etc. A fishbone diagram can also help the organization to prioritize and test the most likely causes, and to develop and implement solutions to improve the quality of service12. References: 1 What is a Fishbone Diagram? Ishikawa Cause & Effect Diagram | ASQ 3 2 CPIM Exam References - Association for Supply Chain Management 1

A house of quality (HOQ) chart is a product planning matrix that is used to show how customer requirements relate directly to the ways and methods companies can use to achieve those requirements. HOQ charts are part of the quality function deployment (QFD) method, which helps to ensure quality in product development and service delivery. HOQ charts use a design that resembles the outline of a house, with different sections representing different aspects of the product or service1. One of the functions that a HOQ chart aligns is competitive analysis with product design. Competitive analysis is the process of evaluating the strengths and weaknesses of the competitors in the market, and identifying the opportunities and threats they pose to the company. Product design is the process of creating the features, functions, and specifications of the product or service that meet the customer needs and expectations. A HOQ chart aligns these two functions by comparing the company’s product design with the competitors’ product design, and showing how well the company’s product design satisfies the customer requirements. This helps the company to identify the areas of improvement, differentiation, and innovation in the product design, and to create a competitive advantage in the market23. References: 1 House of Quality Tutorial - How to Fill Out a House of Quality | ASQ 4 2 House of quality | Explanation with example - IONOS 5 3 CPIM Exam References - Association for Supply Chain Management 1

Moving average forecasting methods are best when demand shows high random variation, as they help to smooth out the noise and capture the underlying level of demand. Moving average methods use the average of the most recent observations as the forecast for the next period. They assign equal weights to all observations in the average, and drop the oldest observation when a new one becomes available. Moving average methods are not suitable for demand patterns that show a clear trend, consistent seasonality, or a cyclical pattern, as they cannot capture these components of demand. For these patterns, more sophisticated methods such as exponential smoothing or regression are needed. References: Forecasting with moving averages, APICS CPIM 8 Planning and Inventory Management | ASCM