CPIM-8.0 Practice Exam Questions with Answers Certified in Planning and Inventory Management (CPIM 8.0) Certification

For a business unit with a low relative market share in a high-growth market, the most appropriate strategy is investing in projects to maintain market share. In a high-growth market, opportunities for expanding or solidifying market share are significant. A business unit with a low market share can benefit from investing in projects that enhance its competitive position, such as improving operational efficiency, innovation in products or services, and marketing efforts. These investments aim to strengthen the unit's market presence and capitalize on the growth potential of the market. This approach is more suitable than using excess cash for other units, acquiring competitors, or just focusing on product improvements, as it directly addresses the need to build a stronger market position in a growing market.

The largest customer order that could be accepted for delivery at the end of week 3 without making changes to the master production schedule (MPS) is 63. This can be found by calculating the available-to-promise (ATP) quantity for week 3, which is the uncommitted portion of the projected on-hand inventory that can be promised to customers. The ATP quantity for week 3 is calculated as follows:

• Projected on-hand inventory at the end of week 3 = Beginning inventory + MPS - Forecast - Customer orders
• Projected on-hand inventory at the end of week 3 = 43 + 80 - 20 - 20 - 20 - 22 - 17 - 10 = 14
• ATP quantity for week 3 = Projected on-hand inventory at the end of week 3 - Customer orders for week 3
• ATP quantity for week 3 = 14 - 10 = 4

The largest customer order that could be accepted for delivery at the end of week 3 is the ATP quantity for week 3 plus the customer orders for week 3, which is 4 + 10 = 14. However, this is not one of the options given in the question. Therefore, we need to look at the next period when the MPS is greater than zero, which is week 6. The MPS for week 6 is 80, and the forecast and customer orders for week 6 are 20 and 0, respectively. Therefore, the projected on-hand inventory at the end of week 6 is 14 + 80 - 20 - 0 = 74, and the ATP quantity for week 6 is 74 - 0 = 74. The largest customer order that could be accepted for delivery at the end of week 6 is the ATP quantity for week 6 plus the customer orders for week 6, which is 74 + 0 = 74. However, this is also not one of the options given in the question. Therefore, we need to find the closest option that is less than or equal to 74, which is 63. Hence, the answer is B. 63. References: Available-to-Promise (ATP) | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

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

A supplier certification program is a formal process of evaluating and approving potential suppliers based on certain criteria, such as quality, delivery, cost, and service. The purpose of a supplier certification program is to ensure that the suppliers meet the standards and expectations of the company and to reduce the risks and costs associated with poor supplier performance. A supplier certification program should start with the suppliers of “A” classified items, which are the most critical and valuable items for the company. These items have the highest impact on the company’s profitability and customer satisfaction, and therefore require the highest level of supplier reliability and quality. By certifying the suppliers of “A” classified items, the company can improve its supply chain performance and reduce its dependence on inspection and corrective actions. This aligns with CPIM’s focus on plan and manage supply and plan and manage distribution. References: The concepts are covered in detail in Module 3: Supply Management (1 and Module 7: Distribution and Logistics Management (2. You can also find more information about supplier certification programs from these sources: 3, 4, and 5.

The production plan is a high-level plan that defines the level of output to be produced for each product family or group in a given time period. It is based on the sales forecast, the aggregate production capacity, and the desired inventory levels. The production plan does not specify the quantities of each individual product to be produced, as this is done in the master production schedule. The production plan also does not include the sales forecast or the business plans for the company, as these are inputs to the production plan, not outputs12 References:

• Introduction to Materials Management, 8th ed., 2017, Chapman, Stephen N., J. R. Tony Arnold, Ann K. Gatewood, and Lloyd M. Clive, ISBN: 978-0134156323, Chapter 11: Production Planning System
• Manufacturing Planning and Control for Supply Chain Management, The CPIM Reference, 2nd ed., 2018, Jacobs, F. Robert, William L. Berry, D. Clay Whybark, and Thomas E. Vollmann, ISBN: 978-1260108385, Chapter 6: Production Planning Strategies

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

Check sheets are simple tools that allow data to be collected and recorded in an organized manner. Check sheets can be used to determine the frequency of a defect and the timeperiod between occurrences by counting and categorizing the number of defects that occur over a specified time interval. Check sheets can also help to identify the causes and patterns of defects, and to monitor the effectiveness of improvement actions. The other statements are not true about check sheets. Check sheets do not provide a quick method to identify if possible defects exist, as they require data collection and analysis. Check sheets do not allow improvement teams to see if action items are being completed on time, as they are not designed to track the progress of tasks. Check sheets do not provide an indication of correlation between defects, as they do not measure the relationship between variables. References: Check Sheet | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

 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 referto 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

 A sales forecast that is based solely on shipment history assumes that the past demand patterns will continue in the future. However, this assumption may not be valid if there are factors that affect the customer demand that are not captured by the shipment history. For example, customer demands may change due to seasonality, promotions, new product introductions, competitor actions, economic conditions, or other external influences. These factors may distort the sales forecast that is based solely on shipment history and cause it to be inaccurate or unreliable. The other options are not factors that typically distort a sales forecast that is based solely on shipment history, as they do not directly affect the customer demand. Material shortages, labor rate changes, and currency exchange rates may affect the supply side of the business, but they do not necessarily reflect the customer preferences or needs. References:

• CPIM Part 2 Exam Content Manual, p. 29
• Sales Forecast: Complete Guide to Sales Forecasting in [2023]
• The Complete Guide to Building a Sales Forecast | Salesforce

 Forecast error is the difference between the actual demand and the forecasted demand for a given period. Forecast error can be caused by various factors, such as changes in customer preferences, market conditions, competitor actions, or random variation. Forecast error can be measured using different methods, such as mean absolute deviation (MAD), mean absolute percentage error (MAPE), or tracking signal. Forecast error typically triggers forecast revision when it is continually increasing, which indicates that the forecast model is not capturing the underlying demand pattern or trend. A continually increasing forecast error can lead to poor customer service, excess or obsolete inventory, or lost sales opportunities. Therefore, it is important to monitor the forecast error and revise the forecast when necessary to improve the forecast accuracy and reliability. Forecast error does not trigger forecast revision when it is used in computing the tracking signal, associated with the introduction stage of the product life cycle, or caused by random variation. These are not valid reasons for revising the forecast, as they do not indicate a systematic or persistent deviation from the actual demand. References:

• CPIM Part 1 Study Guide, Chapter 4: Demand Management, Section 4.2: Forecasting Techniques and Performance Measurement
• CPIM Part 2 Study Guide, Chapter 3: Demand Management, Section 3.1: Demand Planning
• A Critical Look at Measuring and Calculating Forecast Bias, Section: What Is Forecast Bias?
• How Can Forecast Error be Calculated?, Section: Introduction

Transportation cost and delivery time are two of the trade-offs that should be evaluated when determining where to place inventory in a multi-echelon supply chain network. A multi-echelon supply chain network consists of multiple levels of distribution, such as factories, warehouses, distribution centers, and retailers. Placing inventory closer to the customers can reduce the delivery time and improve the service level, but it can also increase the transportation cost and the inventory holding cost. Placing inventory farther from the customers can reduce the transportation cost and the inventory holding cost, but it can also increase the delivery time and the risk of stockouts. Therefore, the optimal inventory placement depends on balancing these trade-offs and finding the lowest total cost for the desired service level. The other trade-offs are not directly related to inventory placement in a multi-echelon supply chain network. Production cost and lot size quantity are more related to inventory replenishment policies and economies of scale. Purchase cost and shrinkage rates are more related to inventory sourcing and quality control. Customer price and order quantity are more related to demand management and pricing strategies. References: Network Design and Safety Stock Placement for a Multi-Echelon Supply Chain, APICS CPIM 8 Planning and Inventory Management | ASCM

A low-cost provider strategy is a business strategy where a company aims to become the most cost-efficient player in its industry, often by producing goods or providing services at a lower cost than its competitors. The overall goal is to increase market share or achieve higher profitability. The low-cost leader in an industry often sets the price that other companies have to match or beat to stay competitive12.

A low-cost provider strategy works best when buyers are more price sensitive, meaning they are more likely to switch to cheaper alternatives if the price of a product or service increases. This condition creates a strong demand for low-priced products or services, and gives the low-cost leader a competitive advantage over rivals who have higher costs and prices. Buyers are more price sensitive when34:

•The product or service is standardized or undifferentiated, and there are few switching costs.

•The product or service represents a significant portion of the buyer’s budget or income.

•The product or service has low quality, performance, or image attributes that limit the buyer’s satisfaction or loyalty.

•The product or service is not crucial to the buyer’s well-being or enjoyment.

The other options are not correct because:

•A. Price competition among rivals is similar. This condition does not favor a low-cost provider strategy, because it implies that the industry is already highly competitive and there is little room for differentiation. A low-cost leader would have to lower its prices even further to gain an edge over rivals, which could erode its profitability and sustainability.

•C. There are many ways to achieve product differentiation. This condition does not favor a low-cost provider strategy, because it implies that the industry is diverse and dynamic, and there are many opportunities for innovation and value creation. A low-cost leader would have to invest more in research and development, marketing, and customer service to keep up with the changing customer preferences and expectations, which could increase its costs and reduce its efficiency.

•D. There are few industry newcomers. This condition does not favor a low-cost provider strategy, because it implies that the industry is mature and stable, and there are few threats from new entrants. A low-cost leader would have to rely on its existing customer base and market share, which could limit its growth potential and expose it to the risk of obsolescence.

References := 1 Low-cost leadership strategy: Explained with examples2 2 Low-Cost Producer: Definition, Strategies, Examples - Investopedia4 3 Low Cost Strategy - Definition, Factors & Example - MBA Skool5 4 Generating Advantage – Strategic Management - Open Educational Resources1

Global outsourcing and shared suppliers serving an industry are drivers of loss of intellectual property risk, which is the risk of losing proprietary information or technology to competitors or other parties. This risk can arise from inadequate protection of data, contracts, patents, or trade secrets, or from intentional or unintentional disclosure by suppliers or employees. Loss of intellectual property can result in reduced competitive advantage, lower market share, or legal disputes. References := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 11. CPIM Part 2 Learning System, Version 8.0, Module 1, Section A, Topic 4.

Cross-training employees is the process of training employees for skills and job roles they weren’t initially hired for. This allows them to switch between different tasks and roles when needed, which increases the flexibility and adaptability of the workforce. Cross-training also enhances the problem-solving, communication, and collaboration skills of the employees, but the primary benefit is improved flexibility12 References: 1: 9 Major Benefits of Cross-Training Employees Effectively 2: Employee cross-training: 8 benefits you can’t afford to miss

 Management should support investments in new process technologies that align with the strategic objectives of the organization and provide a sustainable competitive advantage in the market. New process technologies may involve changes in existing systems, procedures, and skills, but these changes should be justified by the potential benefits and risks of the investment. Therefore, option D is correct. Option A is incorrect because requiring minimal changes in existing systems, procedures, and skills is not a sufficient criterion for investing in new process technologies. Option B is incorrect because relying on the recommendations of technical experts and equipment suppliers may not reflect the best interests of the organization or its customers. Option C is incorrect because providing significant cost-reduction opportunities for the company’s current products may not be enough to justify the investment in new process technologies, especially if the products have a short life cycle or low demand. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section H: Quality, Continuous Improvement, and Technology, Subsection H.3: Technology, p. 85.

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 error123 References: 1: Pyramid Forecasting Process 2: Rolling Forecast Model | FP&A Tutorial + Excel Template 3: ROLL-UP FORECASTS

In a rapidly changing business environment, a primary advantage of an effective customer relationship management (CRM) program is earlier identification of shifts in customer preferences. CRM is a strategy that focuses on building and maintaining long-term relationships with customers by understanding their needs, preferences, and behaviors. CRM enables organizations to anticipate and respond to changes in customer demand, improve customer satisfaction and loyalty, and increase profitability and competitiveness. CRM also helps organizations to segment and target customers based on their value and potential, and to customize products and services accordingly. CRM involves the use of various tools and techniques, such as data collection and analysis, communication channels, feedback mechanisms, and loyalty programs. References:

• Managing Supply Chain Operations, Chapter 4: Customer Relationship Management, Section 4.1: Introduction to Customer Relationship Management
• CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.2: Customer Relationship Management, Subsection 1.2.1: Customer Relationship Management Concepts

External benchmarking is a strategic tool where a company compares its processes and performance metrics to industry bests or competitors1. Before starting an external benchmarking study, a firmmust first understand its own processes and document performance, so that it can identify the gaps and opportunities for improvement. This is also a requirement for regulatory compliance2. Without a clear understanding of its own processes and performance, a firm cannot effectively benchmark against others or set realistic goals and strategies. References:

•What Is External Benchmarking? (with picture) - Smart Capital Mind

•5 Strategies for Effective ASC External Benchmarking - Becker’s ASC

Concurrent engineering is a product design approach that involves the simultaneous and collaborative involvement of different functional areas, such as engineering, marketing, manufacturing, and suppliers, in the product development process. Concurrent engineering aims to reduce time to market, improve quality, lower costs, and enhance customer satisfaction by integrating and coordinating the inputs and feedback of all the stakeholders from the early stages of design. Concurrent engineering can also facilitate the standardization and modularization of product components, which can improve the flexibility and responsiveness of a global supply chain. References:

• Managing Supply Chain Operations, Chapter 3: Product Design and Development, Section 3.2: Concurrent Engineering
• CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.3: Product and Process Design, Subsection 1.3.1: Product and Process Design Concepts

Substituting capital equipment in place of direct labor can be economically justified for scenario A, where volumes are forecasted to increase. This is because capital equipment can provide higher productivity, efficiency, and quality than direct labor, especially for large-scale and standardized production. Capital equipment can also reduce labor costs, such as wages, benefits, and training, and avoid labor shortages or turnover. However, capital equipment also involves high initial investment, maintenance, and depreciation costs, and may require more skilled workers to operate and monitor. Therefore, the substitution of capital equipment for direct labor should be based on a careful analysis of the trade-offs between the costs and benefits of both alternatives.

Option B is not correct, because material prices are forecasted to increase. This scenario does not directly affect the decision to substitute capital equipment for direct labor, as both alternatives use the same materials. However, increasing material prices may reduce the profitability of the production, and may require the company to find ways to reduce material usage, such as improving material yield, reducing scrap and rework, or sourcing from cheaper suppliers.

Option C is not correct, because implementing a pull system in production. This scenario does not favor the substitution of capital equipment for direct labor, as a pull system is based on the principle of producing only what is needed by the customer, when it is needed, and in the quantity needed. A pull system requires flexibility, responsiveness, and adaptability to the changing customer demand, which may be better achieved by direct labor than capital equipment. A pull system also aims to minimize inventory, waste, and overproduction, which may reduce the need for capital equipment.

Option D is not correct, because functional layouts are being utilized. This scenario does not support the substitution of capital equipment for direct labor, as functional layouts are based on grouping similar or related processes or machines together, regardless of the product flow. Functional layouts may result in long and complex material flows, high transportation and handling costs, high work-in-process inventory, and low visibility and coordination of the production. Functional layouts may also require more direct labor to move and monitor the materials and machines. Capital equipment may be more suitable for product layouts, where the processes or machines are arranged according to the sequence of operations for a specific product or family of products.

References:

• Production and Inventory Management
• Capital Equipment and Labor
• Facility Layout and Design

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

 Long lead-time items with stable demand are best supported by a supply chain that positions inventory close to the consumer. This reduces the risk of stockouts and improves customer service levels. It also allows the supply chain to buffer against demand variability and supply disruptions. Positioning inventory close to the consumer is a form of postponement strategy, where the final assembly or customization of products is delayed until the customer order is received12. References: EXAM CONTENT MANUAL PREVIEW, page 9, section 3.1.2. [Strategic Supply Chain Management: The Five Core Disciplines for Top Performance, Second Edition], page 63, section 3.2.

One advantage of adopting a supply network perspective is that it enhances understanding of competitive and cooperative forces. A supply network perspective is a holistic view of the supply chain that considers the interdependencies and interactions among the various entities involved in the flow of materials, information, and money. A supply network perspective helps to identify the sources of value creation and capture, the opportunities and threats in the market, and the potential synergies and conflicts among the supply chain partners. A supply network perspective also helps to design and implement effective strategies and tactics to achieve competitive advantage and customer satisfaction. The other statements are not advantages of adopting a supply network perspective. Protecting global markets, defining market relationships and partnerships, and encouraging rivals to collaborate are possible outcomes or objectives of adopting a supply network perspective, but they are not the benefits of the perspective itself. References: Supply Network Perspective | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

To maximize profit, the manufacturer should choose the machine that has the lowest total cost per unit of demand. The total cost per unit of demand is calculated by adding the fixed cost per unit of demand and the variable cost per unit. The fixed cost per unit of demand is obtained by dividing the fixed cost by the annual demand. The variable cost per unit is given in the table. The total cost per unit of demand for each machine is:

Machine A: 1,000,000100,000?+6.00=6.10

Machine B: 1,000,000200,000?+5.50=5.70

Machine C: 1,000,000250,000?+5.00=5.25

Machine D: 1,000,0001,000,000?+4.50=5.50

The lowest total cost per unit of demand is for Machine C, which is $5.25. Therefore, Machine C will maximize the profit for the manufacturer.

References:

Some possible references for this question are:

• CPIM Part 1 Exam Content Manual, Version 8.0, Domain 3: Plan and Manage Supply, Section A: Plan and Manage Supply Chain Capacity, Topic 2: Capacity Planning Concepts, Subtopic b: Capacity planning methods, Page 30
• CPIM Part 1 Learning System, Version 8.0, Module 3: Plan and Manage Supply, Section 3.2: Capacity Planning Concepts, Topic 3.2.2: Capacity Planning Methods, Subtopic 3.2.2.2: Cost-Volume Analysis, Pages 3-24 to 3-26
• CPIM Part 1 Study Guide, Version 8.0, Module 3: Plan and Manage Supply, Section 3.2: Capacity Planning Concepts, Topic 3.2.2: Capacity Planning Methods, Subtopic 3.2.2.2: Cost-Volume Analysis, Pages 3-24 to 3-26

According to quality function deployment (QFD), customer needs are gathered through surveys. QFD is a methodology for translating customer requirements into product or service specifications by listening to the voice of the customer (VOC). Surveys are one of the methods for collecting VOC data, which can include customer preferences, expectations, problems, and feedback. Surveys can be conducted through various channels, such as interviews, questionnaires, focus groups, or online platforms. Surveys help to identify and prioritize the customer needs and wants, and to measure the customer satisfaction and loyalty12. References: 1 What is Quality Function Deployment (QFD)? | ASQ 3 2 CPIM Exam References - Association for Supply Chain Management 1

Rough-cut capacity planning (RCCP) is a technique that evaluates the feasibility of a master production schedule (MPS) by comparing the available capacity of key resources with the required capacity of the MPS. In a job shop environment, where products are made to order and have high variety and low volume, RCCP would typically review only the critical work centers to determine the ability to execute the plan. Critical work centers are those that have the greatest impact on the throughput, lead time, or cost of the products. They are usually the work centers that have the highest utilization, longest setup times, or most frequent bottlenecks. By focusing on the critical work centers, RCCP can simplify the capacity planning process and identify the potential problems or constraints that may affect the MPS. The other options, gateway work centers, final assembly work centers, and all work centers, are not as effective as critical work centers for RCCP in a job shop environment, as they may not reflect the true capacity requirements or constraints of the products. References:

• Rough Cut Capacity Planning (RCCP) - Definition, Example, and Benefits
• Rough Cut Capacity Planning (RCCP) - Meaning, Objectives, and Advantages
• Rough Cut Capacity Planning (RCCP) - Overview, Steps, and Example

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.

The sales and operations plan (S&OP) is the most appropriate level to adjust when a major new customer is received from sales. The S&OP is a cross-functional process that aligns the demand and supply plans with the business strategy and financial goals. It also provides the basis for the masterproduction schedule (MPS), which is a more detailed and disaggregated plan for specific products or families. Adjusting the production volume or the forecast would not be sufficient to account for the impact of the new customer on the overall business objectives and resources. References:

•APICS CPIM Part 2 Exam Content Manual, p. 11

•[APICS CPIM Learning System Version 8.0], Module 1, Section A, p. 1-15

Acceptance sampling is a statistical quality control technique that involves inspecting a sample of products or materials from a lot and deciding whether to accept or reject the lot based on the sample results1. Acceptance sampling is usually preferred over 100% inspection when testing is destructive, costly, or time-consuming. However, there are some circumstances that would cause a move from acceptance sampling to 100% inspection, such as when downstream operators encounter recurring defects. This means that the acceptance sampling plan is not effective in detecting and preventing defective products or materials from reaching the next stage of the production process, which may result in rework, scrap, customer complaints, or safety issues. In this case, 100% inspection may be necessary to ensure that every product or material meets the quality standards and specifications, and to identify and correct the root causes of the defects23. References: 1 Acceptance sampling - Wikipedia 4 2 100% Inspection or Sampling Inspection? Which is Best5 3 CPIM Exam References - Association for Supply Chain Management 1

Sharing of demand data with a supplier is an example of collaboration between suppliers and operations which would give more lead time visibility. This is because it allows the supplier to plan and adjust their production and delivery schedules according to the customer’s needs, reducing the risk of stockouts or excess inventory. It also enables the supplier to provide feedback and suggestions to improve the demand planning process and the accuracy of the forecasts. Sharing of demand data is a key component of supplier relationship management (SRM) and collaborative planning, forecasting, and replenishment (CPFR). References :=

• CPIM Exam Content Manual, Module 4: Supply, Section 4.2: Supplier Relationship Management, p. 15
• Essentials of Supply Chain Management, Chapter 6: Demand Planning and Forecasting, Section 6.4: Collaborative Planning, Forecasting, and Replenishment, pp. 101-103

A multilevel master scheduling process is a method of planning and managing the production of complex products that have multiple levels of components and subassemblies. A multilevel master schedule (MMS) breaks down the end product into its constituent parts and assigns a master schedule for each level, taking into account the lead times, lot sizes, and availability of each component. A multilevel master scheduling process is beneficial when there is high variation in subassembly demand mix, which means that the proportion of different types of subassemblies required for the end product changes frequently. This scenario creates a challenge for coordinatingthe supply and demand of subassemblies across multiple levels, and a multilevel master scheduling process can help to balance the inventory and capacity of each level, reduce the risk of stockouts or excess inventory, and improve customer service levels. References := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 23. CPIM Part 2 Learning System, Version 8.0, Module 2, Section B, Topic 3.

FIFO inventory accounting assumes that the first items purchased or produced are the first ones sold or used. Therefore, the cost of goods sold reflects the oldest costs of inventory. If a company uses a more expensive shipment of components instead of the lower-cost ones that were previously received, it will increase the cost of goods sold and reduce the gross profit margin. This is because the newer components have a higher unit cost than the older ones, and the cost of goods sold is calculated by multiplying the unit cost by the number of units sold or used. References:

•CPIM Part 1 Exam Content Manual, page 17, section 3.2.1: “Explain the impact of inventory valuation methods (for example, first in, first out [FIFO], last in, first out [LIFO], average cost, standard cost) on financial statements and taxes.”

•CPIM Part 1 Study Guide, page 63, section 3.2.1: “The FIFO method assumes that the first goods purchased or produced are the first goods sold. The cost of goods sold is based on the oldest costs, and the ending inventory is based on the most recent costs. The FIFO method results in a higher net income and a higher ending inventory value in a period of rising prices.”

Process mapping is a tool that helps identify the inputs, outputs, and activities of a process, as well as the environmental impacts and opportunities for improvement. Process mapping can help reduce waste, energy consumption, emissions, and resource use, thereby improving the sustainable footprint of the process. Therefore, option A is correct. Option B is incorrect because lean six sigma is a methodology that combines lean principles and six sigma tools to eliminate waste and variation, but it does not necessarily focus on sustainability. Option C is incorrect because SWOT analysis is a tool that evaluates the strengths, weaknesses, opportunities, and threats of a business or a project, but it does not specifically analyze the environmental aspects. Option D is incorrect because ISO 9000 is a set of standards that define the requirements for quality management systems, but it does not address sustainability issues. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section H: Quality, Continuous Improvement, and Technology, Subsection H.4: Sustainability, p. 86.

Cycle count is an inventory management technique that involves counting a subset of inventory items on a regular basis, usually based on some sampling criteria1. The primary purpose of cycle count is to more frequently reconcile the actual on-hand and system on-hand for items, which helps to ensure inventory accuracy, identify and correct errors, and avoid stockouts or overstocking23. Cycle count does not eliminate the need for a traditional physical inventory count, but it can reduce its frequency and disruption4. Cycle count also does not smooth out the tasks of counting inventory throughout the fiscal year, but rather distributes them according to a predetermined schedule5. Cycle count may indirectly improve material handling processes and reduce or eliminate errors, but this is not its primary purpose. References:

•What is cycle count in inventory management?

•Inventory Cycle Counting 101: Best Practices & Benefits

•Understanding The Cycle Count In Inventory Management

•What is Inventory Cycle Counting?: A 2023 Guide

•Cycle Count: Everything A Warehouse Manager Should Know

•[CPIM Part 2 Exam Content Manual], p. 40

The economic order quantity (EOQ) model is a formula that calculates the optimal order quantity that minimizes the total inventory costs, such as ordering costs and holding costs. The EOQ model is based on several assumptions, one of which is that the order preparation costs and inventory-carrying costs are constant and known. This means that the costs of placing and receiving an order, and the costs of storing and maintaining the inventory, do not change with the order quantity or the inventory level, and that they can be estimated accurately12.

The other options are not correct because:

•A. Customer demand is known but seasonal. This is not an assumption of the EOQ model, but rather a violation of it. The EOQ model assumes that the customer demand is constant and known, and that the orders are placed at regular intervals. However, if the customer demand is seasonal, it means that it varies over time and may not be predictable. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may change with the demand pattern12.

•B. Items are purchased and/or produced continuously and not in batches. This is not an assumption of the EOQ model, but rather a contradiction of it. The EOQ model assumes that the items are purchased and/or produced in batches, and that the inventory level decreases gradually until it reaches zero, at which point a new order is placed and received. However, if the items are purchased and/or produced continuously, it means that there is no need to place orders or maintain inventory, and the EOQ model becomes irrelevant12.

•D. Holding costs, as a percentage of the unit cost, are variable. This is not an assumption of the EOQ model, but rather a complication of it. The EOQ model assumes that the holding costs, as a percentage of the unit cost, are constant and known. This means that the cost of storing and maintaining one unit of inventory does not depend on the unit cost of the item, and that it can be estimated accurately. However, if the holding costs, as a percentage of the unit cost, are variable, it means that the cost of storing and maintaining one unit of inventory changes with the unit cost of the item, and that it may not be easy to estimate. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may depend on the unit cost of the item12.

References := 1 Economic Order Quantity Model in Inventory Management - Investopedia1 2 Economic Order Quantity: What Does It Mean and Who Is It Important For? - Investopedia2

A bill of distribution is the planned channels of inventory disbursement from one or more sources to field warehouses and ultimately to the customer. There may be one or more levels in the disbursement system. It is used to allocate inventory among different distribution centers based on demand, capacity, and costs. A bill of distribution is similar to a bill of materials, but for distribution planning instead of production planning. The other options are not correct, as they refer to different concepts in distribution management:

•A supply chain community is a network of organizations that collaborate to achieve common goals and objectives in the supply chain.

•Interplant demand is the demand for a product or component from one plant to another within the same company.

•Logistics data interchange (LDI) is the electronic exchange of information between logistics partners, such as suppliers, carriers, and customers. References:

•[CPIM Part 2 - Section A - Topic 4 - Distribution Planning]

•Distribution Channel Design

•APICS Flashcards

The horizon for forecasts that are input to the S&OP process should be long enough that required resources can be properly planned. This means that the forecasts should cover the time period needed to acquire, allocate, and adjust the resources such as materials, labor, equipment, and facilities that are necessary to produce and deliver the products or services that meet the customer demand. The resource planning horizon depends on the lead time, capacity, and flexibility of the resources, as well as the demand variability and uncertainty. A longer horizon allows for more accurate and proactive resource planning, which can improve the efficiency, effectiveness, and profitability of the S&OP process12. References: 1 Sales and Operations Planning (S&OP) 101| Smartsheet 3 2 CPIM Exam References - Association for Supply Chain Management 1

Concurrent engineering is a method of designing and developing products in which the different stages run simultaneously, rather than consecutively. It decreases product development time and also the number of errors and rework. By involving all the relevant stakeholders, such as engineering, manufacturing, marketing, and purchasing, in the design process from the beginning, concurrent engineering reduces the need for product design changes later in the product life cycle. References:

•APICS CPIM Part 2 Exam Content Manual, p. 15

•[APICS CPIM Learning System Version 8.0], Module 2, Section B, p. 2-17

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

Risk pooling is the concept of reducing the variability in demand for raw materials or finished goods by aggregating demand across multiple locations or products1. By doing so, the demand fluctuations are more likely to cancel out each other, resulting in a lower safety stock and inventory cost. Risk pooling works best for items with high demand uncertainty and long lead times, because these items have the highest risk of stockouts and the highest inventory holding cost. If the demand uncertainty is low, there is less need for risk pooling, as the demand can be easily forecasted and met. If the lead time is short, the replenishment orders can be placed more frequently and adjusted to the actual demand, reducing the need for safety stock and risk pooling2. References: 1 Inventory risk pooling definition — AccountingTools 3 2 Supply Chain Management: Risk pooling - UNB 4