CPIM-8.0 Exam Dumps - Certified in Planning and Inventory Management (CPIM 8.0)

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

 Prevention is a risk control strategy that involves avoiding or eliminating the sources of risk. By deciding not to pursue a business opportunity in a foreign market due to political instability and currency fluctuations, the company prevented the potential losses or disruptions that could arise from these factors. Mitigation is a risk control strategy that involves reducing the impact or likelihood of risk. Recovery is a risk control strategy that involves restoring normal operations after a risk event occurs. Wait and see is a risk control strategy that involves monitoring the risk situation and taking action only when necessary. References:

• CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.5: Risk Management
• CPIM Part 2 Learning System, Module 4: Execution and Control of Operations, Section 4.3: Risk Management

A bill of resources is a tool that lists the capacity requirements for each work center or resource group based on the planned production quantities. It is used to evaluate the impact that a production plan has on capacity by comparing the available capacity with the required capacity. A bill of resources can also help identify capacity bottlenecks, excess capacity, and alternative resources. A demand time fence(DTF) is a tool that defines the period of time in which the master production schedule (MPS) is frozen and cannot be changed by customer orders. A product routing is a tool that defines the sequence of operations and work centers required to produce a product. A safety capacity is a tool that provides a buffer against demand and supply uncertainty by adding extra capacity to the planned capacity. These tools are not directly used to evaluate the impact that a production plan has on capacity, although they may affect the capacity planning process. References: Bill of Resources | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

In an assemble-to-order (ATO) manufacturing environment, the MPS is used to plan subassemblies and components that have long lead times or high demand variability. These subassemblies and components are produced and stocked in anticipation of customer orders. The end items are only scheduled in the MPS when a customer order is received, and they are assembled from the available subassemblies and components. This reduces the lead time and inventory for the end items, while increasing the flexibility and responsiveness to customer needs. ATO is a hybrid strategy between make-to-stock (MTS) and make-to-order (MTO). References :=

• CPIM Exam Content Manual, Module 4: Supply, Section 4.1: Master Production Schedule, p. 14
• Manufacturing Planning and Control for Supply Chain Management, Chapter 8: Master Production Scheduling, Section 8.3: Master Production Scheduling in Different Environments, pp. 191-192

 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

Mixed-model scheduling is a technique that produces different models of the same product family in the same production line or work center. One of the benefits of mixed-model scheduling is that it reduces the number of setups required, as the models share common components and processes. Fewer setups can lead to lower setup costs, higher productivity, and better utilization of resources. The other outcomes are not benefits of mixed-model scheduling. Increased inventory, improved demand response, and fewer material shortages are more related to other factors such as inventory policies, demandforecasting, and supply planning. References: Mixed Model Scheduling | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

Increasing safety stock to improve customer fill rate would result in a decrease in inventory turns. Inventory turns, or inventory turnover, is a metric measuring how fast the inventory is replaced over time. It is calculated as the cost of goods sold divided by the average value of inventory during the period covered1. A higher inventory turnover ratio indicates that the company sells its inventoryquickly and efficiently, while a lower ratio implies that the company holds too much inventory or has difficulty selling it. Safety stock is an extra quantity of a product stored in the warehouse to prevent an out-of-stock situation. It serves as insurance against fluctuations in demand, longer lead times, and price fluctuations2. Increasing safety stock means increasing the average value of inventory, which lowers the inventory turnover ratio. This also increases the inventory carrying costs, such as storage, insurance, taxes, and obsolescence. Therefore, there is a trade-off between increasing safety stock to improve customer fill rate and decreasing inventory turns to reduce inventory costs3. References: 1 Inventory Turnover Ratio: What It Is, How It Works, and Formula 4 2 What is safety stock? | Definition, Importance, Formula - Zoho 5 3 CPIM Exam References - Association for Supply Chain Management 6

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

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

 The production supervisor is the most appropriate person to send the information about the overage in actual run time for one operation. The production supervisor is responsible for overseeing the execution of the production plan and ensuring that the operations are performed efficiently and effectively. The production supervisor can review the actual run time data and compare it with the planned run time, identify the possible causes of the overage, and take corrective actions if needed. The production supervisor can also explain the overage to the cost accountant and other stakeholders, such as the product manager, the quality manager, and the engineering manager, and provide feedback for improving the planning and routing of the operation. References:

• APICS CPIM Part 2 Exam Content Manual, p. 30
• [APICS CPIM Learning System Version 8.0], Module 4, Section D, p. 4-35

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

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

Rough-cut capacity planning (RCCP) is a type of capacity planning method that uses the master production schedule (MPS) as its primary input. RCCP is a technique for checking the feasibility of the MPS by comparing the available capacity of critical resources (such as machines, labor, or materials) with the capacity required by the MPS. RCCP helps to identify and resolve any potential capacity problems or bottlenecks at an aggregate level, before committing to the MPS. RCCP can also be used to evaluate alternative MPS scenarios and to support the sales and operations planning (S&OP) process12. References: 1 Rough Cut Capacity Planning (RCCP) - Definition, Example, and … 3 2 CPIM Exam References - Association for Supply Chain Management

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.

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.

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

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

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

An X-bar chart is a type of control chart that is used to determine the average value of a group of units. It is also known as a mean chart. It plots the sample means of subgroups of units over time and compares them with the center line and the control limits. An X-bar chart is useful for monitoring the central tendency of a process and detecting any shifts or trends in the process mean. It is often used in conjunction with an R-chart, which measures the subgroup variation. References:

• Managing Supply Chain Operations, Chapter 9: Quality Management, Section 9.2: Statistical Process Control, Subsection 9.2.1: Control Charts
• CPIM Exam Content Manual, Module 8: Quality, Technology and Continuous Improvement, Section 8.1: Quality Management, Subsection 8.1.2: Statistical Process Control, Subsubsection 8.1.2.1: Control Charts

A cradle-to-cradle sustainability model is a design concept that aims to create products that can be reused or recycled indefinitely, without generating any waste or pollution. It mimics the natural cycles of nature, where everything is a nutrient for something else. A cradle-to-cradle model differs from a cradle-to-grave model, which follows a linear path of production, consumption, and disposal.

Option B is an example of a cradle-to-cradle model, because the paper waste from the coffee shop is collected and recycled by a supplier, who then provides new paper products to the coffee shop. This creates a closed loop of material flow, where nothing is wasted and the paper is continuously reused.

Option A is not a cradle-to-cradle model, because the laundry service does not reuse or recycle the baby clothes. It only cleans and delivers them, but does not prevent them from eventually ending up in the landfill.

Option C is not a cradle-to-cradle model, because the company does not ensure that the wood it uses is from sustainable sources, or that the products it makes can be easily disassembled and recycled. It also does not consider the environmental impacts of transporting the wood from different locations.

Option D is not a cradle-to-cradle model, because the bank does not directly influence the design or production of the products that the firms use. It only provides financial incentives for them to adopt more sustainable practices, but does not guarantee that they will follow a cradle-to-cradle approach.

References:

•Cradle-to-Cradle for Sustainable Development: From Ecodesign to Circular Economy

•Cradle to Cradle – Sustainability Guide

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

Excess capacity is the amount of capacity that is available beyond the normal or expected demand. Safety stock is the inventory that is held to protect against uncertainties in demand, supply, or lead time. Excess capacity can be a good substitute for safety stock when the cost of excess capacity is less than the cost of an additional unit of safety stock in the same period. This means that the opportunity cost of having idle resources is lower than the carrying cost of holding extra inventory. In this case, excess capacity can be used to produce more units in response to demand fluctuations, rather than relying on safety stock to meet customer orders. 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]

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

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

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

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

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 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

 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

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.

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

Reducing replenishment lead times will result in lower inventory levels because it means that the time between placing an order and receiving the goods is shorter. This reduces the need to hold excess inventory to cover the uncertainty and variability of demand and supply. Reducing replenishment lead times can also improve customer service levels, as orders can be fulfilled faster and more reliably. Level loading the master production schedule (MPS), increasing customer service level, and decentralizing inventory locations are all actions that will increase inventory levels, as they require more inventory to buffer against fluctuations in demand and supply, and to ensure availability at multiple locations. References: Inventory Management: Lead Time Reduction, APICS CPIM 8 Planning and Inventory Management | ASCM

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

In a lean environment, the batch-size decision for planning “A” items would be done by lot-for-lot (L4L). L4L is an inventory management technique that orders exactly the quantity needed to meet the demand for each period. This minimizes the work in process, cycle time, and inventory holding costs. L4L is consistent with the lean principles of reducing batch sizes, eliminating waste, and responding to customer pull. The other options are not suitable for a lean environment, as they either order more than the demand (least total cost, min-max system, periodic order quantity) or incur more setup costs (least total cost, periodic order quantity). References:

•[CPIM Part 2 - Section A - Topic 3 - Lean and Just-in-Time]

•Optimize Production Batch Sizes

•How to determine your Lot Size - Part 1

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

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

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.

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 statistical safety stock calculation is based on the assumption that demand and lead time are normally distributed and independent. This method is suitable for end items with stable demand, as it can provide a reasonable estimate of the required safety stock to achieve a desired service level. Therefore, option C is correct. Option A is incorrect because components used in multiple end items may have dependent demand, which means that their demand is derived from the demand of the end items. Dependent demand may not follow a normal distribution and may require a different method of safety stock calculation. Option B is incorrect because new products at time of introduction may have uncertain or variable demand, which makes it difficult to apply a statistical safety stock calculation. Option D is incorrect because supply-constrained raw materials may have long and variable lead times, which also complicates the use of a statistical safety stock calculation. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section E: Plan and Manage Inventory, Subsection E.2: Inventory Management Methods, p. 54.

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, thetotal 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

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

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)

 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.