Free and Premium APICS CPIM-8.0 Dumps Questions Answers

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 primary outcome of frequent replenishments in a distribution requirements planning (DRP) system is that the level of required safety stock is reduced. Safety stock is the extra inventory that is held to protect against demand uncertainty or supply variability. Frequent replenishments mean that the inventory is replenished more often and in smaller quantities, which reduces the risk of stockouts and the need for safety stock. Frequent replenishments also improve the inventory visibility and accuracy, which enable better demand forecasting and inventory planning. By reducing the safety stock, the company can lower its inventory carrying costs, free up working capital, and increase its inventory turnover. The other options are not correct, as they are not the primary outcome of frequent replenishments, but rather possible benefits or drawbacks of frequent replenishments, depending on the situation:

Lead times to customers decrease: This may or may not be true, depending on the distance between the distribution centers and the customers, the transportation mode and frequency, and the customer service level. Frequent replenishments may reduce the lead times if the distribution centers are closer to the customers and the transportation is fast and reliable. However, frequent replenishments may also increase the lead times if the distribution centers are far from the customers and the transportation is slow and infrequent.

Transportation costs decrease: This may or may not be true, depending on the transportation mode, distance, and volume. Frequent replenishments may reduce the transportation costs if the transportation mode is economical, the distance is short, and the volume is high. However, frequent replenishments may also increase the transportation costs if the transportation mode is expensive, the distance is long, and the volume is low.

More efficient load consolidation occurs: This is unlikely to be true, as frequent replenishments usually mean smaller shipments that are less likely to fill the capacity of the transportation vehicles. Load consolidation is the process of combining multiple shipments into one larger shipment to optimize the transportation efficiency and reduce the transportation costs. Frequent replenishments may reduce the opportunities for load consolidation and increase the transportation inefficiency and costs. References:

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

Distribution Requirements Planning (DRP) in Supply Chain

What is DRP? (A Comprehensive Guide on Distribution Requirements Planning)

Safety Stock: The Ultimate Guide

Load Consolidation

A capacity-lagging strategy is a conservative approach to capacity planning that involves adding capacity only when the firm is operating at full capacity because of an increase in demand1. This strategy can help minimize costs and reduce the risk of excess capacity, but it can also lead to a disadvantage of not being able to fully meet customer demand if it rises quickly2. This can result in lost customers, revenue, and market share, as well as lower customer satisfaction and loyalty3. References:

•Lag Capacity Strategy, Lag Demand Strategy - UniversalTeacher.com

•Capacity Planning Strategies: Types, Examples, Pros And Cons - Toggl

•3 types of capacity planning strategies (with examples) - Xola

Demonstrated capacity is the actual output achieved by a resource or a system over a period of time, such as a day, a week, or a month. It is determined from actual results, such as production records, time studies, or historical data. Demonstrated capacity reflects the past performance, not the future load, of a resource or a system. It may be lower or higher than the rated capacity, which is the theoretical or design capacity of a resource or a system. Demonstrated capacity considers utilization and efficiency factors, such as machine availability, operator skills, product mix, quality issues, or maintenance schedules, that affect the actual output. References:

Managing Supply Chain Operations, Chapter 5: Capacity Planning and Management, Section 5.2: Capacity Planning Decisions, page 132-133.

Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, Chapter 6: Capacity Management, Section 6.2: Capacity Planning, page 156-157.

CPIM 8.0 Exam Content Manual Preview, Module 5: Plan and Manage Supply, Section 5.1: Plan and Manage Capacity, page 9.

The total landed cost is the sum of all the costs associated with buying a quantity larger than immediately needed, including the cost of the product, the custom fees, the freight, and the warehouse rent. Based on the table, the total landed cost can be calculated as follows:

Landed cost = material cost + custom fees + freight + warehouse rent Landed cost = $500 + $125 + $700 + $200 Landed cost = $1,525

Therefore, the correct answer is D. $1,525. The other options are not correct, as they either omit some of the costs or use incorrect values. The total landed cost reflects the direct costs only to move the product from the factory floor to the customer. It is an important supply chain KPI in inventory management, as it helps to determine the optimal order quantity, pricing, and profitability of the products12. References:

What is Landed Cost? | Calculation and Tips to Improve - ORBA Cloud CFO

What is Landed Cost & Why is it Important | Finale Inventory

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

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

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

A push system is a production system that operates based on forecasts and schedules, rather than actual customer demand. A push system pushes products to the market regardless of the current demand, and often results in excess inventory and waste. A push system does not consider the capacity constraints of the work centers, and therefore may send work orders to them even if they are not able to process them. This can create bottlenecks, delays, and inefficiencies in the production process12.

The other options are not correct because:

•B. Work centers are scheduled using finite capacity planning. This is not a characteristic of a push system, but rather a pull system. Finite capacity planning is a method of scheduling that takes into account the actual capacity of the work centers, and only releases work orders when there is enough capacity to process them. This reduces the risk of overloading the work centers and improves the flow of production3.

•C. Work centers operate using decentralized control. This is not a characteristic of a push system, but rather a pull system. Decentralized control is a method of management that gives more autonomy and decision-making power to the work centers, and allows them to adjust their production according to the actual demand and capacity. This increases the flexibility and responsiveness of the production system4.

•D. Work centers signal previous work centers when they are ready for more work. This is not a characteristic of a push system, but rather a pull system. This is a common practice in a pull system that uses kanban cards as visual signals to trigger the production or replenishment of a product. The work centers only request more work when they have enough capacity and demand for it, and avoid overproduction and waste5.

References := 1 Push System vs. Pull System: Adopting A Hybrid Approach To MRP1 2 Push Systems vs. Pull System: Definitions and Differences4 3 Finite Capacity Planning - an overview | ScienceDirect Topics 4 Centralized vs. Decentralized Manufacturing | IndustryWeek 5 Kanban - an overview | ScienceDirect Topics

The master scheduler has the authority to change the product mix in the master scheduling process. The product mix is the combination and proportion of different products or product families that the company offers to its customers. The master scheduler can adjust the product mix based on the customer demand, the production capacity, the inventory levels, and the strategic objectives of the company. The master scheduler can also use the product mix to balance the demand and supply, to optimize the resource utilization, and to maximize the profitability. The other options are not correct, as they are items that the master scheduler does not have the authority to change in the master scheduling process, but rather inputs or constraints that the master scheduler has to follow or consider:

Aggregate volume is the total quantity of products or product families that the company plans to produce and deliver in a given period. Aggregate volume is determined by the sales and operations planning (S&OP) process, which involves the senior management and the functional managers of the company. The master scheduler has to align the master production schedule (MPS) with the aggregate volume, and cannot change it without the approval of the S&OP team.

Engineering change effectivity date is the date when a change in the design or specification of a product or a component becomes effective. Engineering change effectivity date is determined by the engineering department, which is responsible for the product development and innovation. The master scheduler has to incorporate the engineering change effectivity date into the MPS, and cannot change it without the approval of the engineering department.

Customer order quantities are the amounts of products or product families that the customers order from the company. Customer order quantities are determined by the market demand and the customer preferences. The master scheduler has to satisfy the customer order quantities as much as possible, and cannot change them without the approval of the customers or the sales and marketing department. References:

[CPIM Part 2 - Section A - Topic 1 - Sales and Operations Planning]

Master Production Schedule (MPS)

Product Mix

Aggregate Planning

Engineering Change Management

Customer Order Management

An assignable cause of variation is a source of variation that is intermittent, not predictable, and identifiable. It is also called a special cause of variation. An assignable cause of variation affects the process performance in an unexpected and non-random way, and it can be eliminated or controlled by finding and correcting the specific cause1. An example of an assignable cause of variation in process performance is incorrect setup of a machine by the operator. This means that the operator did not follow the standard procedure or specification for setting up the machine, which may result in defective or nonconforming products or materials. This cause of variation can be identified and corrected by checking the setup instructions, training the operator, or implementing a setup verification system23. References: 1 Assignable Cause - isixsigma.com 4 2 Process Capability Analysis - an overview | ScienceDirect Topics 5 3 CPIM Exam References - Association for Supply Chain Management 1

Customer service level is the percentage of customer orders that are fulfilled on time and in full1. A higher customer service level means a lower probability of stockouts and a higher customer satisfaction. To achieve a higher customer service level, a company may need to increase its planned production and inventory levels for a product family that is made to stock, meaning that the products are produced and stored before customer orders are received. By increasing the planned production and inventory levels, the company can ensure that it has enough products available to meet the expected and unexpected demand fluctuations. Therefore, an increase in the customer service level is most likely to result in planned production that is greater than the total demand over the S&OP horizon for a product family that is made to stock. Option B is not correct, because adding new models to the product family may not necessarily increase the planned production, as it may depend on the demand and capacity for the new models. Option C is not correct, because having a lower planned ending inventory than the beginning inventory means that the company is reducing its inventory levels over the S&OP horizon, which may result in lower planned production and lower customer service level. Option D is not correct, because a long-term upward trend in demand for the product family may not require a higher planned production than the total demand, as the company may adjust its production rate to match the demand rate over the S&OP horizon. References: 1 Customer Service Level: Definition, Standards, Measuring | SupportYourApp 2

 Periodic review is a system that determines the order quantity and reorder point for an item based on the inventory position at fixed intervals. This system is suitable for inventory management of low value items, as it reduces the ordering and holding costs, simplifies the ordering process, and allows for grouping orders. Therefore, option C is correct. Option A is incorrect because order point is a system that triggers an order when the inventory level falls below a predetermined level. This system requires continuous monitoring of inventory levels, which may not be cost-efficient for low value items. Option B is incorrect because material requirements planning (MRP) is a system that calculates the requirements for components and materials based on the demand for end items. This system is more appropriate for items with dependent demand, rather than independent demand. Option D is incorrect because economic order quantity (EOQ) is a system that determines the optimal order quantity that minimizes the total ordering and holding costs. This system assumes constant and known demand and lead time, which may not be realistic for some items. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section E: Plan and Manage Inventory, Subsection E.2: Inventory Management Methods, p. 53.

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 production cell is a group of machines or workstations that are arranged in a way that allows for continuous flow of materials and products. The main objective of designing a production cell is to reduce waste, improve quality, and increase productivity. One of the most important considerations for designing a production cell is the flow of materials into the cell and sequencing of operations to minimize total cycle time. Total cycle time is the time it takes for a product to go through all the steps in the cell, from the first operation to the last. By minimizing total cycle time, the production cell can achieve higher throughput, lower inventory, and faster delivery123 References: 1: CPIM Part 2 - Section C - Module 1 - Session 1 - Lean Manufacturing 2: CPIM Part 2 - Section C - Module 1 - Session 2 - Lean Manufacturing Tools 3: CPIM Part 2 - Section C - Module 1 - Session 3 - Lean Manufacturing Implementation

 The time spent in queue by a specific manufacturing job is determined by the priority of the order. Priority is the relative importance or urgency of an order compared to other orders in the system. Priority can be assigned based on various criteria, such as due date, customer preference, profitability, or first-come-first-served. Priority determines the order in which jobs are processed at each workstation and affects the waiting time and flow time of each job. Higher priority jobs have shorter waiting times and lower priority jobs have longer waiting times. Priority can be used as a tool to manage the trade-offs between customer service, capacity utilization, and inventory levels. References:

Managing Supply Chain Operations, Chapter 7: Scheduling and Sequencing, Section 7.2: Priority Rules

CPIM Exam Content Manual, Module 6: Detailed Schedules, Section 6.2: Scheduling and Sequencing, Subsection 6.2.2: Priority Rules

 Improvements in an input/output control (I/O control) system will most likely lead to a reduction in queue size and queue time. An I/O control system is a method of managing the flow of work orders in a production system by matching the input rate to the output rate. The input rate is the number of work orders that are released to the shop floor in a given period. The output rate is the number of work orders that are completed and shipped to the customers in a given period. An I/O control system aims to keep the input rate equal to the output rate, or slightly lower, to avoid overloading the system and creating excess inventory. By improving the I/O control system, the production system can achieve a smoother and more balanced flow of work orders, which reduces the queue size and queue time at each work center. Queue size is the number of work orders that are waiting to be processed at a work center. Queue time is the amount of time that a work order spends in the queue before being processed. A reduction in queue size and queue time can improve the production efficiency, quality, and flexibility, as well as the customer service and satisfaction. The other options are not correct, as they are not the most likely outcomes of improvements in an I/O control system, but rather possible effects of other factors or methods:

Flattened bills of material (BOMs) are the result of simplifying the product structure and reducing the number of components or levels in a BOM. Flattened BOMs can reduce the complexity and lead time of the production process, but they are not directly related to the I/O control system.

A change in operation sequencing is the result of altering the order or priority of the work orders or operations in a production system. A change in operation sequencing can affect the production flow and capacity, but it is not necessarily caused by the I/O control system.

Fewer engineering change notifications are the result of minimizing the changes in the product design or specification during the production process. Fewer engineering change notifications can reduce the disruption and cost of the production process, but they are not directly related to the I/O control system. References:

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

Input/Output Control | SpringerLink

Input/Output Control - an overview | ScienceDirect Topics

Input/Output Control - InventoryOps.com

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

 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.

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 latest demand 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

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 the order 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

Up-to-date information about production order status is required to do the task of calculating the cost of work in process (WIP). WIP is the inventory of partially finished goods that are still undergoing production. The cost of WIP is the sum of the material, labor, and overhead costs that have been incurred for the unfinished products. To calculate the cost of WIP, the production order status is needed to determine the quantity and stage of completion of each product in the production process. The production order status can also indicate the actual costs and variances from the planned costs for each production order. By having up-to-date information about production order status, the cost of WIP can be calculated more accurately and timely, which can help to monitor and control the production performance and profitability. References := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 28. CPIM Part 2 Learning System, Version 8.0, Module 3, Section B, Topic 1. Production order lifecycle overview. How to Make a Production Order for Manufacturing.

A flexibility metric is a measure of how well an organization can adapt to changes in demand, supply, or technology. Flexibility metrics can be classified into three categories: volume flexibility, mix flexibility, and new product flexibility. Volume flexibility is the ability to adjust the output level to meet fluctuations in demand. Mix flexibility is the ability to produce different types of products or services with the same resources. New product flexibility is the ability to introduce new products or services quickly and efficiently. Cycle time is an example of a flexibility metric, as it measures the time required to complete a process or activity, from start to finish. Cycle time can indicate the responsiveness and agility of an organization, as shorter cycle times imply faster delivery, lower inventory, and higher customer satisfaction. Cycle time can also reflect the efficiency and quality of an organization, as shorter cycle times imply less waste, fewer errors, and lower costs. Therefore, cycle time is a relevant metric for assessing the flexibility of an organization. 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 A, Topic 3.

The cost to deliver the order consists of two components: the shipping cost and the holding cost. The shipping cost is the amount paid to the transportation mode for moving the order from the origin to the destination. The holding cost is the amount incurred for storing the order until it is delivered to the customer. The holding cost depends on the delivery time, which is the number of days it takes for the order to reach the customer. The longer the delivery time, the higher the holding cost. The shipping cost and the holding cost for each transportation mode are calculated as follows:

Shipping via rail:

Shipping cost = $300

Delivery time = 14 days

Holding cost = $40 x 14 = $560

Total cost = $300 + $560 = $860

Shipping via truck:

Shipping cost = $600

Delivery time = 3 days

Holding cost = $40 x 3 = $120

Total cost = $600 + $120 = $720

Therefore, the cost to deliver the order via rail is $860, and the cost to deliver the order via truck is $720. References: Transportation Costing | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

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.

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

ABC classification is a method of inventory management that categorizes items based on their annual consumption value, which is the product of the annual demand and the unit cost. Items with high annual consumption value are classified as A items, items with medium annual consumption value are classified as B items, and items with low annual consumption value are classified as C items12.

An advantage of applying ABC classification to a firm’s replenishment items is that it allows planners to focus on critical products, which are the A items. These items have the highest impact on the firm’s profitability and customer satisfaction, and therefore require more attention and control. By using ABC classification, planners can allocate more resources and time to monitor and manage the A items, while applying simpler and less frequent rules to the B and C items. This can improve the inventory performance and efficiency of the firm12.

The other options are not correct because:

•A. it distinguishes independent demand from dependent demand. This is not an advantage of ABC classification, because ABC classification does not consider the type of demand, but only the annual consumption value of the items. Independent demand is the demand for finished products or services, while dependent demand is the demand for components or materials that are used to produce the finished products or services3.

•C. it provides better order quantities than the economic order quantity (EOQ). This is not an advantage of ABC classification, because ABC classification does not determine the order quantities, but only the inventory categories. EOQ is a formula that calculates the optimal order quantity that minimizes the total inventory costs, such as ordering costs and holding costs.

•D. it allows the firm to utilize time-phased order point (TPOP). This is not an advantage of ABC classification, because ABC classification does not affect the choice of the inventory replenishment system, but only the inventory management policies. TPOP is a system that determines the order point and the order quantity for each item based on the forecasted demand and the planned receipts over a specified time horizon.

References := 1 ABC Inventory Analysis & Management | NetSuite1 2 What Is ABC Inventory Classification? | Business.org2 3 Independent Demand vs Dependent Demand: What’s the Difference? Economic Order Quantity (EOQ) - Overview, Formula, and Example Time-Phased Order Point (TPOP) - an overview | ScienceDirect Topics

Fixed order quantity is a method that places a replenishment order when the quantity on hand falls below a predetermined level, called the reorder point. The reorder point is calculated based on the expected demand during the lead time and the safety stock. The order quantity is fixed and constant, and it is determined by the economic order quantity (EOQ) formula or other criteria. Fixed order quantity is also known as the order point/order quantity (OP/OQ) system or the continuous review system.

Option A is not correct, because min-max system is a method that places a replenishment order when the quantity on hand falls below a minimum level, called the order point. The order quantity is variable and depends on the difference between the maximum level and the current inventory level. Min-max system is also known as the two-bin system or the bin system.

Option C is not correct, because periodic review is a method that places a replenishment order at fixed intervals of time, regardless of the quantity on hand. The order quantity is variable and depends on the difference between the target inventory level and the current inventory level. Periodic review is also known as the fixed order interval (FOI) system or the periodic order quantity (POQ) system.

Option D is not correct, because available-to-promise (ATP) is not a method of inventory replenishment, but a calculation of the uncommitted portion of the current inventory and planned production. ATP is used to promise delivery dates to customers based on the availability of inventory and production capacity.

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 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

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

Mixed-model scheduling is a technique that allows multiple products to be produced on the same assembly line without changeovers, and then sequences those products in a way that smoothes the demand for upstream components12. In this case, the company is using mixed-model scheduling to produce three different products (A, B, and C) on the same line, and then alternating them in a pattern that minimizes the variation in the workload and the inventory levels. The other options are not correct because:

•Matrix scheduling is a technique that assigns tasks to workers based on their skills and availability3.

•Synchronized scheduling is a technique that coordinates the production and delivery of materials and components to match the demand of the final assembly4.

•Line balancing is a technique that distributes the workload evenly among the workers or machines on a production line5. References := 1 Create Mixed Model Flow in 5 Steps | Industrial Equipment News 2 Mixed Model Scheduling - Mountain Home Academy 3 Matrix Scheduling - an overview | ScienceDirect Topics 4 Synchronized Scheduling - an overview | ScienceDirect Topics 5 Line Balancing - an overview | ScienceDirect Topics

Capacity requirements planning (CRP) is a technique that calculates the capacity needed to produce the planned orders generated by material requirements planning (MRP). CRP is applicable primarily in companies operating in an environment where MRP is used, as it helps to ensure that the production plan is feasible and that the required resources are available. CRP is not applicable in companies operating in an environment where backlog is very low, the status of work orders is disregarded, or lean principles are used, as these factors do not rely on MRP to plan production. References: Capacity Requirements Planning | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

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

The mean time between failures (MTBF) is the inverse of the failure rate. The failure rate is given as 0.00055 failures per hour, so the MTBF is 1/0.00055 = 1,818.2 hours. This means that the average time the machine operates without failing is 1,818.2 hours. References: MTBF Formula | How to Calculate Mean Time Between Failure? - EDUCBA, Mean time between failures - Wikipedia

Given the bill of material (BOM) information, we can calculate the weekly gross requirement of component F by considering the independent requirements of Component A and B. For Component A, there is no direct requirement for Component F. For Component B, which has an independent requirement of 20 pcs per week, each requires 4 pcs of Component F according to its BOM. So, the total weekly gross requirement for Component F due to Component B is 204 = 80 pcs. Additionally, each piece of Component A requires 2 pieces of Component C according to its BOM and has an independent requirement of 10 pcs per week; hence requiring a total of 20 pieces of component C per week. Each piece of component C in turn requires 4 pieces of component F according to its BOM; hence requiring a total weekly gross requirement for component F due to component A is: 204 =80 pcs. Adding both gives us a total weekly gross requirement for component F as:80+80=160pcs. References:

•CPIM Part 1 Learning System, Module 4: Inventory Management, Section 4.2: Inventory Management Policies and Objectives

•CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.3: Capacity Management

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

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 company that uses two-level master scheduling has a master production schedule (MPS) for the end items (kits) and a final assembly schedule (FAS) for the components (tools). The forecasts that are input to master scheduling should reflect the total number of kits and the specific kit configurations, as these determine the demand for the components. The other options are not relevant for master scheduling, as they do not reflect the end item demand or the bill of materials structure. References: EXAM CONTENT MANUAL PREVIEW, page 10, section 4.1.2. Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, page 163, section 6.2.

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

Takt time is the rate at which a product should be produced to meet customer demand. It is calculated by dividing the available production time by the customer demand. In this case, the available production time is 10 hours per day, and the customer demand is 2,400 units per day. Converting 10 hours to minutes gives us 600 minutes of production time per day. So, takt time = 600 minutes / 2400 units = 0.25 minutes per unit. However, this is not one of the answer choices, so we need to look for more information or context.

According to the CPIM Part 1 Study Guide, takt time is usually rounded up to the nearest whole number to allow for some buffer time and to simplify the calculation. Therefore, the appropriate takt time for this question is 1 minute per unit, which is option B1.

References := 1 CPIM Part 1 Study Guide, page 77

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

Pareto analysis is a technique for separating input factors with the greatest impact on an outcome and prioritizing them based on their scores. It is based on the 80-20 rule, which states that 80% of a project’s benefit or problems can be achieved by doing 20% of the work or fixing 20% of the causes. Pareto analysis helps to identify the top portion of causes that need to be addressed to resolve the majority of problems. Pareto Analysis - Overview, Limitations, Pareto Diagram References: Pareto analysis - Wikipedia, What Is Pareto Analysis? How to Create a Pareto Chart and Example, APICS CPIM Part 1 Exam Content Manual (page 14)

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.”

Substitute products are components of an organization’s immediate industry and competitive environment. They are products or services that can satisfy the same customer needs or wants as the organization’s offerings, but are provided by different industries or markets. Substitute products can affect the demand, price, and profitability of the organization’s products, and require the organization to monitor and respond to the changes in customer preferences and competitive pressures. Political factors, interest rates, and sociocultural forces are examples of macroenvironmental factors, which are broader and more general forces that affect the organization and its industry, but are not directly related to its competitors or customers. References :=

CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.1: Business Strategy, p. 4

Strategic Supply Chain Management: The Five Core Disciplines for Top Performance, Chapter 2: Align Your Supply Chain with Business Strategy, Section 2.2: Assessing the External Environment, pp. 25-26

The demonstrated capacity last week is the total number of models completed by both modelers in 40 hours. One modeler finished 5 models a day, which means 25 models in a week. The other modeler finished 1 model a day, which means 5 models in a week. Therefore, the demonstrated capacity last week is 25 + 5 = 30 models. However, this is not one of the options given. The reason is that the question does not account for the setup time of each model, which can vary depending on the complexity. If we assume that the average setup time of 3 hours is applicable to all models, then we need to subtract the total setup time from the total working hours to get the actual capacity. The total setup time for 30 models is 30 x 3 = 90 hours. The total working hours for both modelers is 2 x 40 = 80 hours. Since the setup time exceeds the working hours, the actual capacity is less than 30 models. To find the actual capacity, we need to solve the following equation:

80 = x * 3 + x * 1

where x is the number of models completed. Simplifying the equation, we get:

x = 10

Therefore, the actual capacity is 10 models, which is option C. References:

Managing Supply Chain Operations, Chapter 6: Capacity Management, Section 6.1: Capacity Concepts, Subsection 6.1.1: Capacity Definitions

CPIM Exam Content Manual, Module 4: Supply, Section 4.2: Capacity Management, Subsection 4.2.1: Capacity Concepts

 The labor efficiency variance is the difference between the standard labor hours allowed for the actual output and the actual labor hours used, multiplied by the standard labor rate. In this case, the standard labor hours allowed for 100 pieces are 0.5 * 100 = 50 hours. The actual labor hours used are 48 hours. The standard labor rate is $10 per hour. Therefore, the labor efficiency variance = (50 - 48) * $10 = $20 favorable. This means that the actual labor hours used were less than the standard labor hours allowed, which indicates a higher labor efficiency12 References: 1: CPIM Part 2 - Section B - Module 2 - Session 2 - Variance Analysis 2: CPIM Part 2 - Section B - Module 2 - Session 3 - Variance Analysis Example

Proximity to suppliers would be classified as a cost factor in preparing for a facility location decision. Cost factors are the expenses associated with operating a facility in a specific location, such as labor, materials, utilities, taxes, and transportation. Proximity to suppliers can affect the cost of inbound transportation, inventory holding, and quality control. Choosing a location that is close to suppliers can reduce these costs and improve the efficiency and reliability of the supply chain. References:

Managing Supply Chain Operations, Chapter 2: Global Supply Chain Strategy, Section 2.3: Facility Location

CPIM Exam Content Manual, Module 1: Supply Chains and Strategy, Section 1.4: Facility Location, Subsection 1.4.1: Facility Location Concepts