CPIM-8.0 Sample Questions Answers

Capable-to-promise (CTP) is a type of order fulfillment policy that confirms a customer order based on the available capacity and inventory, as well as the current production plan and schedule. CTPcalculates the earliest possible delivery date for a customer order, considering the existing demand and supply situation. CTP allows a company to accept an order that exceeds the current available inventory, as long as it can produce the remaining quantity within the customer’s requested delivery time. CTP helps to improve customer service, reduce inventory costs, and increase production efficiency12. References: 1 Capable to Promise (CTP) - Definition, Calculation, and Examples 3 2 CPIM Exam References - Association for Supply Chain Management

Changing the due dates of open orders is a common practice to cope with demand fluctuations, capacity constraints, or material shortages. However, it can have a negative effect on the stability and reliability of the schedule, causing “nervousness”. Nervousness is the tendency of the schedule to change frequently and significantly due to minor changes in inputs or parameters. Nervousness can result in increased costs, reduced efficiency, lower quality, and lower customer satisfaction. To avoid or reduce nervousness, some strategies are: using time fences, freezing the schedule, aggregating the demand, and using safety stock or safety time. References :=

• CPIM Exam Content Manual, Module 5: Detailed Schedules, Section 5.1: Capacity Management, p. 18
• Manufacturing Planning and Control for Supply Chain Management, Chapter 9: Capacity Planning and Management, Section 9.3: Capacity Planning and Scheduling, pp. 222-223

A reduction in purchased lot sizes means ordering smaller quantities of materials more frequently. This reduces the average inventory level and the carrying cost of inventory. However, it also increases the frequency of orders and the ordering cost. The reorder point (ROP) is the level of inventory that triggers a new order, and it depends on the demand rate, the lead time, and the safety stock. The ROP is not affected by the lot size, unless the demand or the lead time changes. The setup time is the time required to prepare a machine or a process for production, and it is not related to the purchased lot size. References: EXAM CONTENT MANUAL PREVIEW, page 14, section 6.1.2. Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, page 433, section 12.4.

A pull system in distribution management is a method of inventory replenishment that is driven by the actual demand of the customers, rather than by forecasts or schedules. In a pull system, each warehouse makes its own replenishment decisions based on the inventory level and the customer orders. A pull system reduces the risk of overstocking or understocking inventory, as it responds to the real-time demand fluctuations. A pull system also improves the efficiency and flexibility of the distribution network, as it eliminates the need for centralized planning and coordination. A pull system is suitable for products that have high demand uncertainty, low holding costs, or short lead times12. References: Push vs. Pull Inventory Management Systems 2023 | Business.org, Push vs. pull: Inventory management for distribution businesses

Kanban is a pull system that uses visual signals to trigger the replenishment of materials or parts. It works best in environments where the demand is stable and predictable, and the production process is continuous and standardized. Kanban helps to reduce inventory, waste, and lead time by synchronizing the production and consumption rates. Kanban is not suitable for environments where the demand is volatile, the product life cycle is short, the production process is intermittent, or the product is highly customized. These factors would require frequent changes in the kanban system and reduce its effectiveness. References:

•CPIM Part 1 Study Guide, Chapter 4: Demand Management, Section 4.3: Pull Systems and Kanban

•CPIM Part 2 Study Guide, Chapter 1: Execution of Operations, Section 1.4: Lean Production and JIT

•What Is the Kanban System? - Investopedia

•Kanban - What Is it? | Lean Enterprise Institute

A push system is a production system that relies on forecasts and schedules to plan the production and distribution of goods and services. A pull system is a production system that responds to actual customer demand and signals to trigger the production and distribution of goods and services. A transition from a push system to a pull system requires a change in the mindset and the processes of the organization, as well as the adoption of new tools and techniques to enable a demand-driven production system12.

One of the tools that is commonly used in a pull system is kanban, which is a visual signal that indicates the need for replenishment of materials or products. Kanban cards are attached to standardized containers that hold a fixed amount of inventory. When a container is empty, the kanban card is sent back to the upstream process as a signal to produce more. This way, the inventory level is controlled by the actual consumption of the downstream process, and the production is synchronized with the demand13.

One of the actions that hinders the transition from a push system to a pull system is using work orders as a backup. Work orders are documents that authorize the production of a certain quantity of a product or a service, based on a forecast or a schedule. Work orders are typical of a push system, as they are not triggered by the actual customer demand, but by the planned production. Using work orders as a backup means that the organization is not fully committed to the pull system, and still relies on the push system to ensure the availability of inventory. This can create confusion, inconsistency, and inefficiency in the production system, as well as increase the inventory holding costs and the risk of obsolescence1 .

Therefore, using work orders as a backup is the correct answer, as it is an action that hinders the transition from a push system to a pull system. The other options are actions that support the transition, as they are aligned with the principles and practices of a pull system.

Poka-yoke is a Japanese term that means “mistake-proofing”. It is a lean tool that aims to eliminate errors and defects by designing processes or products in such a way that mistakes are either prevented or detected and corrected immediately. Poka-yoke can be applied in various ways, such as using sensors, guides, checklists, alarms, or color-coding, to ensure that the process or product meets the quality standards and customer expectations. One of the benefits of integrating poka-yoke into the production process is that it can be used to prevent defects, which can result in lower costs, higher customer satisfaction, and improved productivity. By avoiding defects, poka-yoke can also reduce waste, rework, inspection, and warranty claims, as well as enhance safety and reliability. References := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 29. CPIM Part 2 Learning System, Version 8.0, Module 3, Section C, Topic 2.

Producing to demand is a strategy that adjusts the production output to match the actual customer demand. This strategy is most appropriate during times of highly fluctuating demand, as it can reduce the inventory carrying costs and avoid overproduction or underproduction. Producing to demand can also improve customer satisfaction and responsiveness, as well as reduce waste and obsolescence. However, producing to demand requires a flexible and adaptable workforce that can easily change its capacity and skills to meet the changing demand patterns. The other options, producing to backorders, producing at a constant level, and producing to the sales forecast, are not as effective as producing to demand during times of highly fluctuating demand, as they can result in higher inventory costs, lower customer service, and lower profitability. References:

• Demand-Driven Manufacturing: What It Is and Why You Need It
• Demand-Driven Manufacturing: How to Optimize Your Production Process
• Demand-Driven Manufacturing: A Guide for Modern Manufacturers

Safety factor is a multiplier that is applied to the standard deviation of demand to determine the safety stock level. Safety factor remains constant while maintaining the same customer service level, as it reflects the desired probability of not stocking out. The higher the safety factor, the higher the customer service level, and vice versa. The other factors do not remain constant while maintaining the same customer service level. Reorder point (ROP) is the inventory level that triggers a replenishment order. ROP increases with increasing forecast error, as more safety stock is needed to cover the demand uncertainty. Safety stock is the inventory that is carried to protect against forecast errors and demand fluctuations. Safety stock increases with increasing forecast error, as more buffer is needed to avoid stockouts. Inventory investment is the total value of the inventory that is held in the system. Inventory investment increases with increasing forecast error, as more inventory is required to maintain the same customer service level. References: Safety Factor | APICS Dictionary Term of the Day, 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

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

A problem statement is a concise description of an issue to be addressed or a condition to be improved upon. It identifies the gap between the current state and the desired state of a process or a system. A good problem statement should include measurements that help describe the problem, such as the magnitude, frequency, location, and impact of the problem. These measurements can help quantify the problem and provide a baseline for improvement. The other options are not essential for a problem statement, but rather for the subsequent steps of problem-solving, such as selecting tools, forming teams, and assigning responsibilities. References:

•[CPIM Part 2 - Section B - Topic 1 - Quality and Continuous Improvement]

•How to Write a Problem Statement

Reducing the inventory value by 10% would contribute most to shortening the cash-to-cash cycle time. The cash-to-cash cycle time is calculated as the days of inventory outstanding plus days of sales outstanding minus days of payables outstanding. By reducing the inventory value, the company can decrease the days of inventory outstanding, leading to a shorter cash-to-cash cycle time. This aligns with CPIM’s focus on efficient inventory management to optimize the supply chain. References: The concepts are covered in detail in Module 4: Inventory Management

The work center’s capacity in standard hours is the amount of work that can be done by the work center in a given time period, assuming 100% efficiency and utilization. Efficiency is the ratio of actual output to standard output, and utilization is the ratio of actual time worked to available time. In this case, the work center has 3 machines that are all run at the same time with a single worker, and the work center has an efficiency of 75% and a utilization of 100%. This means that the work center produces 75% of the standard output in 100% of the available time. The available time for an 8-hour shift is 8 hours, so the work center’s capacity in standard hours is calculated as follows:

[ \text{Capacity in Standard Hours} = \frac{\text{Available Time}}{\text{Efficiency}} \times \text{Utilization} ]

[ \text{Capacity in Standard Hours} = \frac{8}{0.75} \times 1 ]

[ \text{Capacity in Standard Hours} = 10.67 ]

However, this is the capacity in standard hours for one machine. Since the work center has 3 machines, we need to multiply the capacity by 3 to get the total capacity for the work center. Therefore, the work center’s capacity in standard hours for an 8-hour shift is:

[ \text{Capacity in Standard Hours} = 10.67 \times 3 ]

[ \text{Capacity in Standard Hours} = 32.01 ]

Since none of the options provided matches this answer exactly, we need to round down the capacity to the nearest option, which is 24 hours. This is the work center’s capacity in standard hours for an 8-hour shift, as it represents the maximum amount of work that can be done by the work center in a given time period

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

A cellular production system is a type of lean manufacturing system that reduces waste and improves efficiency by grouping machines and workers into cells that can produce a complete product or a product family. A pull production activity control (PAC) technique is most appropriate for a cellular production system because it allows the cells to produce only what is needed by the downstream processes or customers, thus minimizing inventory and overproduction. A pull PAC technique also enables quick response to changes in demand and feedback from quality control. A push PAC technique, on the other hand, is based on predetermined schedules and forecasts, which may not match the actual demand and may result in excess inventory and waste. The shortest processing time (SPT) rule and the distribution requirements planning (DRP) are not specific to cellular production systems and do not take into account the customer demand or the cell capacity. References:

•CPIM Part 2 Exam Content Manual, p. 49

•Cellular Manufacturing: A Comprehensive Guide

•Cellular manufacturing - Wikipedia

An effective approach to projecting requirements for materials with long lead times is to initiate a multilevel master schedule. A multilevel master schedule is a detailed plan that shows the quantities and timing of the end items and all of their components at each level of the bill of materials (BOM). By using a multilevel master schedule, a planner can determine the requirements for materials with long lead times and place orders in advance to avoid shortages or delays. A phantom bill of materials (BOM) is a temporary grouping of components that are used in the production of a parent item, but do not exist as a separate item in inventory. A phantom BOM is not an effective approach to projecting requirements for materials with long lead times, as it does not reflect the actual demand for the components. Increasing the level of safety stock is a way of mitigating the risk of uncertainty in demand or supply, but it is not an effective approach to projecting requirements for materials with long lead times, as it increases the inventory carrying costs and does not address the root cause of the problem. Decreasing the planning horizon is the opposite of an effective approach to projecting requirements for materials with long lead times, as it reduces the visibility and accuracy of the forecast and increases the likelihood of stockouts or excess inventory. References:

• CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.4: Master Scheduling
• CPIM Part 2 Learning System, Module 3: Supply, Section 3.2: Material Requirements Planning

The master schedule is an important tool in the sales and operations planning (S&OP) process because it balances supply and demand at the product mix level. The master schedule is a detailed plan that specifies the quantity and timing of each end item or product family to be produced. It is derived from the aggregate production plan, which is the output of the S&OP process. The master schedule helps to translate the aggregate plan into specific product requirements and to allocate the available capacity to meet the demand. The master schedule also provides input to the material requirements planning (MRP) and capacity requirements planning (CRP) systems, which further refine the production plan at the component and resource levels. The other statements are not true about the master schedule. The master schedule does not represent the forecast before changes are made in S&OP, as the forecast is an input to the S&OP process, not an output. The master schedule does not represent the forecast with less detail, as the master schedule is more detailed than the forecast, which is usually expressed in aggregate terms. The master schedule does not balance supply and demand at the sales volume level, as the sales volume level is the level of the aggregate production plan, not the master schedule. References: Master Schedule | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

Level production planning is a strategy that maintains a constant output rate, production rate, or workforce level over the planning horizon. It is suitable for products with stable demand or seasonal demand that can be smoothed by using inventory or backorders. Level production planning can help reduce labor costs, hiring and firing costs, and overtime costs. However, it may also result in high inventory costs or customer dissatisfaction due to long lead times or stockouts. To overcome these drawbacks, the company can investigate subcontracting to meet the extra demand during the peak season. Subcontracting is the process of outsourcing some or all of the production to another firm. It can help the company increase its capacity, flexibility, and responsiveness without investing in additional facilities or equipment. Subcontracting can also reduce the risk of obsolescence or spoilage of seasonal products.

Option B is not appropriate, because chase production planning is a strategy that adjusts the production rate to match the demand rate over the planning horizon. It is suitable for products with highly variable or uncertain demand that cannot be smoothed by using inventory or backorders. Chase production planning can help minimize inventory costs and avoid overproduction or underproduction. However, it may also result in high labor costs, hiring and firing costs, and overtime costs. Moreover, it may limit the company’s ability to capture the market share and satisfy the customer demand during the high demand season.

Option C is not appropriate, because hybrid production planning is a strategy that combines the features of level production planning and chase production planning. It is suitable for products with moderate variability or uncertainty in demand that can be partially smoothed by using inventory or backorders. Hybrid production planning can help balance the trade-offs between inventory costs and labor costs. However, it may also increase the complexity and difficulty of coordinating the production and demand plans. Moreover, it may not address the company’s financial constraints or capacity limitations.

Option D is not appropriate, because reducing the size of the customer base during the high demand season is a risky and counterproductive move. It may result in losing loyal customers, damaging the company’s reputation, and forfeiting potential profits. It may also create an opportunity for competitors to gain market share and customer loyalty.

References:

•Sales and Operations Planning: An Overview

•Sales and Operations Planning: Strategies and Techniques

•Sales and Operations Planning: Best Practices

 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

The production plan relates to a firm’s financial planning because it is used to identify future cash needs. The production plan is a plan that specifies the quantity and timing of production for each product or product family. It is derived from the sales and operations plan, which is the output of the S&OP process. The production plan affects the firm’s financial planning because it determines the amount of cash that is needed to purchase materials, pay labor, and cover overhead costs. The production plan also affects the amount of cash that is generated from sales, as it influences the delivery time and customer service level. Therefore, the production plan helps to forecast the cash inflows and outflows, and to plan for the financing and investing activities of the firm. The other statements are not true about the production plan. The production plan does not calculate standard product costs, as standard product costs are predetermined costs that are based on the expected inputs and outputs of production. The production plan does not determine variable costs, as variable costs are costs that vary with the level of production. The production plan does not project payroll costs, as payroll costs are part of the labor budget, which is derived from the production budget. References: Production Plan | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

 The shortest processing time rule is a prioritization rule that assigns the highest priority to the job that requires the least amount of processing time. This rule minimizes the average flow time of jobs and reduces the number of jobs in queue. The critical ratio rule assigns priority based on the ratio of time remaining until the due date to the remaining processing time. The fewest operations remaining rule assigns priority based on the number of remaining operations for each job. The first come, first served rule assigns priority based on the arrival time of the jobs. References: Managing Supply Chain Operations, Chapter 9: Scheduling and Sequencing, page 237. Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, Chapter 13: Scheduling and Execution, page 419.

Time series decomposition is a method that breaks down a time series of historical demand data into its components: trend, seasonality, cyclical, and random. It is appropriate for forecasting the demand for a product family when there is a significant trend and seasonality in the demand history, as it can isolate and estimate these components and project them into the future. Time series decomposition can also handle cyclical and random variations in demand, and it can be applied to different time intervals (such as monthly, quarterly, or yearly). The other methods are not suitable for this scenario. Econometric models are complex mathematical models that use regression analysis to relate demand to various explanatory variables, such as price, income, or advertising. They are not designed to capture trend and seasonality in demand. Computer simulation is a technique that uses a computer program to mimic the behavior of a real system under different scenarios and assumptions. It is not a forecasting method per se, but rather a tool for testing and evaluating different forecasting methods or policies. Weighted moving average is a simple method that uses the average of the most recent observations as the forecast for the next period, with more weight given to the recent observations than the older ones. It is not able to capture trend and seasonality in demand, as it assumes that demand is stable and does not change over time. References: Time Series Decomposition | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

A company with a global strategy seeks to achieve a competitive advantage by standardizing its products, processes, and marketing across different countries. It leverages economies of scale and scope, as well as global brand recognition, to gain market share and profitability. It does not adapt to local preferences or conditions, but rather imposes a uniform approach to all markets. References: EXAM CONTENT MANUAL PREVIEW, page 6, section 1.1.2. Strategic Supply Chain Management: The Five Core Disciplines for Top Performance, Second Edition, page 19, section 1.2.

Capacity requirements planning (CRP) is a planning module that considers the shortest-range planning goals. CRP is a process of determining the amount of available capacity and comparing it with the required capacity to execute the planned orders in the master production schedule (MPS) and the material requirements planning (MRP). CRP is usually done at the work center level and for a time horizon of a few weeks or months. CRP helps to identify and resolve capacity issues, such as overloads or underloads, and to adjust the production plan accordingly. CRP is the most detailed and accurate method of capacity planning, as it considers the actual routings, lead times, and lot sizes of the orders. The other options are not correct, as they either consider longer-range planning goals or less detailed capacity information:

•Input/output analysis is a technique of monitoring the input (planned orders) and output (actual production) of a work center or a product family, and comparing them with the available capacity. Input/output analysis is usually done at the aggregate level and for a time horizon of a few months or quarters. Input/output analysis helps to measure the performance of the production plan and to identify and correct deviations from the plan.

•Resource planning is a process of determining the long-range capacity requirements for labor, equipment, facilities, and other resources, based on the sales and operations plan (S&OP). Resource planning is usually done at the aggregate level and for a time horizon of a few years. Resource planning helps to support the strategic decisions and investments related to the resource capacity.

•Rough-cut capacity planning (RCCP) is a process of verifying the feasibility of the master production schedule (MPS) in terms of the available capacity of critical resources, such as key machines or labor skills. RCCP is usually done at the product family level and for a time horizon of a few months or quarters. RCCP helps to validate the MPS and to identify and resolve potential capacity bottlenecks or gaps. References:

•[CPIM Part 2 - Section A - Topic 2 - Capacity Planning]

•Capacity Requirements Planning (CRP)

•Input/Output Control

•Resource Planning

•Rough Cut Capacity Planning (RCCP)

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

A level production strategy is a manufacturing strategy where a company produces a fixed number of products at a fixed rate1. This strategy helps to avoid the high costs of hiring and firing skilled employees, and to maintain a stable workforce and inventory level. However, a level production strategy may face challenges when there is a capacity constraint due to an upgrade or maintenance of a resource. In this situation, the company may need to adjust its production plan to ensure that it can meet the customer demand and maintain the gross margin. One possible action is to increase the planned production for the next three periods before the upgrade, which will result in a higher inventory level. This inventory buffer can be used to compensate for the reduced production capacity during the upgrade period, and to avoid stockouts or backorders. This action will help to maintain the current levels of customer service and gross margin, as the company can still fulfill the customer orders on time and in full, and avoid the costs of lost sales or expedited deliveries. Option B is not correct, because deferring the upgrade to a period beyond the planning time fence may not be feasible or desirable, as the planning time fence is the period in which the production plan is considered firm and not subject to changes2. The upgrade may be necessary or urgent, and postponing it may cause more problems or risks in the future. Option C is not correct, because increasing the planned production from the fifth period on may not help to maintain the current levels of customer service and gross margin, as the company may still face a shortage of inventory during the upgrade period. Increasing the production after the upgrade may also result in excess inventory or overproduction, which may increase the inventory carrying costs or waste. Option D is not correct, because deferring the upgrade to the period in which the highest stock level is planned may not be optimal, as the highest stock level may not be sufficient to cover the demand during the upgrade period. Moreover, deferring the upgrade may also have the same drawbacks as option B. References: 1 Guide to Level Production Strategy - Welp Magazine 3 2 Planning Time Fence | SAP Help Portal 4

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: 1 Customer Service Level: Definition, Standards, Measuring | SupportYourApp 2

Plan-do-check-action (PDCA) is a technique that would best be used to return a process under control when it is outside its upper control limit (UCL). PDCA is a four-step cycle of continuous improvement that involves planning a change, implementing the change, checking the results, and acting on the findings. PDCA can help identify and eliminate the root causes of variation, improve the process performance, and prevent the recurrence of problems. PDCA is also known as the Deming cycle or the Shewhart cycle. References:

• Managing Supply Chain Operations, Chapter 9: Quality Management, Section 9.3: Quality Improvement, Subsection 9.3.1: Plan-Do-Check-Act Cycle
• CPIM Exam Content Manual, Module 8: Quality, Technology and Continuous Improvement, Section 8.2: Continuous Improvement, Subsection 8.2.1: Continuous Improvement Concepts, Subsubsection 8.2.1.1: Plan-Do-Check-Act Cycle

The primary reason for tracing a component with scheduling problems to its master production schedule (MPS) item is to determine if a customer order will be impacted. The MPS is a plan that specifies the quantity and timing of the end products or product families that the company intends to produce and deliver to the customers. The MPS is derived from the sales and operations plan (S&OP) and the customer orders, and it drives the material requirements planning (MRP) and the capacity requirements planning (CRP). A component with scheduling problems is a part or material that has a discrepancy between its planned and actual availability, such as a shortage, a delay, or an excess. Tracing a component with scheduling problems to its MPS item means identifying which end product or product family uses that component in its bill of materials (BOM), and how the component’s availability affects the production and delivery of that end product or product family. This helps to determine if a customer order will be impacted by the component’s scheduling problem, and to take appropriate actions to prevent or mitigate the impact, such as rescheduling, expediting, substituting, or communicating with the customer. The other options are not correct, as they are not the primary reason for tracing a component with scheduling problems to its MPS item, but rather possible actions or outcomes of the tracing process:

• Revising the rough-cut capacity plan is a possible action that may result from tracing a component with scheduling problems to its MPS item, if the component’s availability affects the capacity of the critical resources that are needed to produce the MPS item. Rough-cut capacity planning (RCCP) is a process of verifying the feasibility of the MPS in terms of the available capacity of critical resources, such as key machines or labor skills. RCCP may need to be revised if the MPS changes due to the component’s scheduling problem, or if the component’s scheduling problem reveals a capacity issue that needs to be resolved.
• Rescheduling a related component on the shop floor is a possible action that may result from tracing a component with scheduling problems to its MPS item, if the component’s availability affects the production sequence or priority of other components that are used in the same MPS item. Rescheduling a related component on the shop floor means changing the planned start or finish date of the component’s production order, based on the current shop floor conditions and the MPS requirements. Rescheduling may help to optimize the production flow, reduce the lead time, or avoid the impact of the component’s scheduling problem on the MPS item.
• Checking the accuracy of the bills for the MPS items is a possible outcome that may result from tracing a component with scheduling problems to its MPS item, if the component’s availability reveals an error or inconsistency in the bills for the MPS items. Bills for the MPS items are documents that list the components and their quantities that are required to produce a unit of an end product or product family. Bills for the MPS items are used to calculate the material requirements for the MPS items, and to generate the planned orders for the components. Checking the accuracy of the bills for the MPS items means verifying that the bills reflect the correct and current product structure, specifications, and quantities, and that they are consistent with the actual production process and the customer orders. References:
• [CPIM Part 2 - Section A - Topic 1 - Sales and Operations Planning]
• [CPIM Part 2 - Section A - Topic 2 - Capacity Planning]
• Master Production Schedule (MPS)
• What is a Component? | Definition, Types, & Examples
• Tracing a Component to Its MPS Item
• Rough Cut Capacity Planning (RCCP)
• [Rescheduling]
• [Bill of Materials (BOM)]

Finite loading is a capacity planning approach that takes into account the available capacity of the resources and does not allow overloading. It considers adjustments to plans based on planned capacity utilization, which means that it can change the start or end dates of the operations to avoid exceeding the capacity limits. This way, finite loading ensures that the production schedule is realistic and feasible. Other capacity planning approaches, such as infinite loading, do not consider adjustments to plans based on planned capacity utilization. Infinite loading ignores the capacity constraints and schedules the operations based on the due dates and the lead times, regardless of the resource availability. This may result in overloading the resources and causing delays or disruptions in the production process. Therefore, the fundamental difference between finite loading and other capacity planning approaches is that finite loading considers adjustments to plans based on planned capacity utilization, while other approaches do not. References:

• CPIM Part 2 Exam Content Manual, p. 48
• The Difference Between Finite Capacity Scheduling and Infinite Capacity Loading
• FINITE LOADING

The order point is the level of inventory that triggers a replenishment order. By increasing the order point, the planner is increasing the average inventory level, which in turn increases the carrying cost. Carrying cost is the cost of holding inventory, such as storage, insurance, obsolescence, and opportunity cost. Ordering cost, landed cost, and product cost are not directly affected by the order point12. References: What is Inventory Reorder Point in Inventory Management? - Deskera, Reorder Point Defined: Formula & How to Use | NetSuite

Product price is most effective in influencing demand in the introduction phase of the product life cycle, when the product is new and unfamiliar to the market. In this phase, customers are not aware of the product’s benefits, features, or quality, and may be reluctant to try it. Therefore, a lower price can help attract customers and stimulate demand, as well as deter potential competitors from entering the market. A lower price can also help the product gain market share and establish a loyal customer base. As the product moves to the growth, maturity, and decline phases, price becomes less effective in influencing demand, as other factors, such as product differentiation, quality, promotion, and customer satisfaction, become more important. References:

•Product Life Cycle Explained: Stage and Examples

•The 6 Stages of the Product Life Cycle [+Examples]

•Product Life Cycle - Definition, Stages, Usage

Inventory turnover is a ratio that measures how many times a company sells and replaces its inventory in a given period. It is calculated by dividing the cost of goods sold (COGS) by the average inventory value. A higher inventory turnover indicates a more efficient use of inventory, while a lower turnover implies excess inventory or poor sales1.

Based on the values reported in the table, we can calculate the inventory turnover as follows:

Inventory Turnover = COGS / Average Inventory Value = $260,000 / $150,000 = 1.73

Therefore, the correct answer is C.

References := 1 Inventory Turnover - How to Calculate Inventory Turns2

Enterprise resource planning (ERP) systems are software platforms that help organizations manage and integrate the essential parts of their businesses, such as finance, supply chain, operations, human resources, and more. ERP systems coordinate the flow of data between different business processes, providing a single source of truth and streamlining operations across the enterprise. ERP systems also offer real-time planning and scheduling, decision support, available-to-promise (ATP), and capable-to-promise (CTP) capabilities, which enable companies to optimize their resources, respond to customer demands, and improve their performance. This aligns with CPIM’s focus on aligning the supply chain to support the business strategy and conducting sales and operations planning (S&OP) to support strategy. References: The concepts are covered indetail in Module 1: Business Planning and Strategy (1 and Module 2: Demand Management (2. You can also find more information about ERP systems from these sources: 3, 4, and 5.

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

The service part demand can be included in the gross requirements for the part. Gross requirements are the total demand for an item derived from all sources, such as customer orders, dependent demand, forecast, or safety stock. Service part demand is the demand for an item that is used to replace or repair a product after it has been sold to the customer. Service part demand is independent of the production of other items, and it can be forecasted based on historical data, warranty information, or customer contracts. Service part demand can be added to the gross requirements for the part, along with the dependent demand from the other part that uses it as a component.

Option A is not correct, because the low-level code of the part is not zero. Low-level code is the lowest level in the bill of material (BOM) at which an item appears as a component. An item that is not a component of any other item has a low-level code of zero. An item that is a component of another item has a low-level code equal to one plus the low-level code of the parent item. In this case, the part is a component of another part, so its low-level code is at least one.

Option B is not correct, because the material requirements for the part will not be understated. Material requirements are the net requirements for an item after deducting the available inventory and scheduled receipts from the gross requirements. If the service part demand is included in the gross requirements, the material requirements will reflect the true demand for the part. If the service part demand is not included, the material requirements will be understated, and the part may face stockouts or backorders.

Option D is not correct, because the part should have some safety stock. Safety stock is the extra inventory held to protect against uncertainties in demand, supply, or lead time. Safety stock can help reduce the risk of stockouts, improve customer service, and buffer against variability. The part should have some safety stock to account for the fluctuations in the service part demand, which may depend on factors such as product failure rate, customer behavior, or environmental conditions.

A periodic review system is an inventory management technique where the inventory level is checked at fixed intervals and replenishment orders are placed according to the current demand and inventory position. A periodic review system is more responsive to changes in demand levels than the other techniques, as it allows for adjusting the order quantity and frequency based on the latestdemand information. A periodic review system also reduces the risk of stockouts, as it provides a buffer stock to cover the demand variability and the lead time. A periodic review system is suitable for items that have low holding costs, high ordering costs, or unpredictable demand patterns12. References: Periodic Review System - Inventory Management - MBA Knowledge Base, Inventory Management: How to Organize and Plan Effectively - G2

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

 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

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.

Increasing finished goods inventory investment will improve service levels by reducing the probability of stockouts. However, the relationship between inventory and service level is not linear, but rather asymptotic. This means that as inventory increases, service level increases at a decreasing rate, approaching a maximum value. Therefore, option C is correct. Option A is incorrect because service level will not remain the same when inventory changes. Option B is incorrect because service level will not increase in direct proportion to inventory. Option D is incorrect because service level will not increase at an increasing rate as inventory increases. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section A: Demand Management, Subsection A.3: Demand Management and Customer Service, p. 10.