Free and Premium APICS CPIM-8.0 Dumps Questions Answers

A control chart is a tool that shows process changes and random variation over time. It is a type of statistical process control (SPC) that monitors the performance of a process and detects whether it is in or out of control. A control chart consists of a center line, an upper control limit, and a lower control limit. The center line represents the average or target value of the process. The control limits represent the acceptable range of variation within the process. If the data points fall within the control limits, the process is considered stable and in control. If the data points fall outside the control limits, or show a non-random pattern, the process is considered unstable and out of control, indicating the presence of special causes of variation that need to be investigated and eliminated. References:

Managing Supply Chain Operations, Chapter 9: Quality Management, Section 9.2: Statistical Process Control

CPIM Exam Content Manual, Module 8: Quality, Technology and Continuous Improvement, Section 8.1: Quality Management, Subsection 8.1.2: Statistical Process Control

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

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

 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.

The demand management function brings qualitative insights like market intelligence, promotions, and competitor actions that are not part of statistical forecasts. These are integrated during S&OP reviews to align demand and supply effectively.

“Demand management supplements forecast data with inputs not captured in historical forecasting models.”

— CPIM SMR Module – Sales & Operations Planning Role of Demand Management

Inventory days of supply (IDS) is a measure of how long it takes for a company to sell its entire inventory. Reducing IDS means that the company is selling its inventory faster, which increases the inventory turnover ratio. Inventory turnover ratio is the number of times a company sells and replaces its inventory in a given period. A higher inventory turnover ratio indicates that the company is more efficient in managing its inventory and generating sales. Reducing IDS also means that the company is reducing the time between paying its suppliers and receiving payment from its customers, which reduces the cash-to-cash cycle time. Cash-to-cash cycle time is the number of days a company’s cash is tied up in its operations. A lower cash-to-cash cycle time indicates that the company is more efficient in converting its inventory into cash and improving its liquidity. Therefore, reducing distribution network inventory days of supply will have the impact of increasing turnovers and reducing cash-to-cash cycle time. References:

Gartner’s Top Actions for Supply Chain Inventory Reduction

Inventory Days Of Supply | Supply Chain KPI Library | Profit.co

Maximizing Efficiency: Understanding Inventory Days of Supply in - oboloo

 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

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.

In inflationary environments, LIFO assigns the most recent (higher) costs to the cost of goods sold, resulting in higher COGS and lower taxable income. FIFO does the opposite, leading to lower COGS and higher profits.

“When inflation occurs, the LIFO method results in higher cost of goods sold because it uses more recent, higher-cost inventory values.”

— CPIM Practice Questions, Inventory Valuation (DSP Page 97)

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.

 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.

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.

Customer service performance is the degree to which a company meets or exceeds the expectations of its customers in terms of the quality, timeliness, and satisfaction of the service provided. The most relevant measure of customer service performance is the service perceived by the customer against the service expected by the customer, also known as the service quality gap. This measure captures the difference between what customers expect from a service and what they actually receive, and reflects the level of customer satisfaction or dissatisfaction. A positive service quality gap indicates that the service exceeded the expectations, while a negative service quality gap indicates that the service fell short of the expectations. The other options are not as relevant as the service quality gap because they do not account for the customer’s perspective or perception of the service. Service promised to the customer against service measured by the supplier is an internal measure of service performance, but it does not reflect how the customer perceives the service. Customer complaints received as a percentage of orders shipped is a measure of service failure, but it does not capture the positive feedback or the silent dissatisfied customers. Positive customer feedback as a percentage of customer feedback is a measure of service satisfaction, but it does not account for the customer’s expectations or the service quality dimensions. References:

CPIM Part 2 Exam Content Manual, p. 67

Customer Service Metrics: Top 10 to Measure

20 Customer Service KPIs You Need To Know

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

CPIM Part 2 Exam Content Manual, p. 29

Sales Forecast: Complete Guide to Sales Forecasting in [2023]

The Complete Guide to Building a Sales Forecast | Salesforce

Maintenance, repair, and operating (MRO) supply systems are essential for ensuring the availability and reliability of equipment and infrastructure used in production processes. MRO supplies include items such as spare parts, tools, lubricants, cleaning materials, and safety equipment. The primary consideration in MRO supply systems typically is stockout costs, which are the costs incurred when an item is not available when needed. Stockouts can cause production delays, equipment breakdowns, customer dissatisfaction, and lost sales opportunities. Therefore, it is important to maintain adequate inventory levels of MRO supplies to avoid stockouts and ensure uninterrupted operations. Order quantity, carrying costs, and shelf life are also important factors in MRO supply systems, but they are not the primary consideration. Order quantity is the amount of MRO supplies ordered at a time, which affects the ordering costs and the inventory levels. Carrying costs are the costs of holding MRO supplies in inventory, which include storage, handling, insurance, and obsolescence costs. Shelf life is the period of time that MRO supplies can be stored before they expire or deteriorate, which affects the inventory turnover and the waste disposal costs. These factors need to be balanced with the stockout costs to optimize the MRO supply systems. References:

CPIM Part 2 Study Guide, Chapter 6: Inventory Management, Section 6.3: Inventory Management for Independent Demand Items

What is maintenance, repair and operations | IBM, Section: Why should you care about MRO?

Maintenance, Repair, and Operations/Overhaul (MRO) - A Complete Guide, Section: Understanding MRO

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

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

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

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.

 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

 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

Developing flexible operations best supports a company’s strategic focus on delivery speed to improve competitive advantage. Delivery speed is the time it takes for a company to deliver its products or services to the customers after receiving an order. Delivery speed is a key factor in customer satisfaction, retention, and loyalty, as well as a source of differentiation and value creation in the market1. Developing flexible operations means having the ability to adapt to changes in demand, supply, technology, and environment, and to respond quickly and efficiently to customer needs and expectations. Flexible operations can improve delivery speed by reducing lead times, increasing responsiveness, enhancing quality, and minimizing costs23. References: 1 The Shipper’s Competitive Advantage of Delivery Speed to Market 4 2 Operations Strategy, 4th ed., 2015, Slack, N., Lewis, M., ISBN: 978-0273776208 3 CPIM Exam References - Association for Supply Chain Management 1

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

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

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

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

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

•What Is the Kanban System? - Investopedia

•Kanban - What Is it? | Lean Enterprise Institute

Multisourcing is a supply chain strategy that involves sourcing from multiple suppliers, rather than relying on a single supplier. Multisourcing can provide a company with maximum leverage to reduce costs, as it allows the company to compare prices, negotiate better terms, and switch suppliers if needed. Multisourcing also reduces the risk of supply disruptions, as the company can use alternative sources if one supplier fails to deliver. Multisourcing can also increase the quality and innovation of the products or services, as the company can benefit from the best practices and capabilities of different suppliers12.

The other options are not correct because:

•A. Single sourcing. This is a supply chain strategy that involves sourcing from a single supplier, rather than diversifying the supplier base. Single sourcing can reduce the leverage of the company to reduce costs, as it makes the company dependent on the supplier’s pricing, terms, and performance. Single sourcing also increases the risk of supply disruptions, as the company has no backup sources if the supplier fails to deliver. Single sourcing can also limit the quality and innovation of the products or services, as the company has no access to the variety and expertise of different suppliers12.

•C. Long-term agreement. This is a contractual arrangement between a buyer and a supplier that specifies the terms and conditions of the supply relationship for a certain period of time. Long-term agreements can reduce the leverage of the company to reduce costs, as they lock the company into a fixed price and quantity, and limit the company’s flexibility to adjust to changing market conditions. Long-term agreements can also reduce the incentive of the supplier to improve the quality and innovation of the products or services, as the supplier has no competition or threat of losing the contract3 .

•D. Service-level agreement (SLA). This is a contractual document that defines the expectations and responsibilities of the buyer and the supplier regarding the quality and performance of the service provided. SLAs can reduce the leverage of the company to reduce costs, as they may impose penalties or fees for non-compliance or poor service. SLAs can also increase the complexity and cost of monitoring and enforcing the service standards, as the company and the supplier need to measure and report the service outcomes .

References := 1 Single Sourcing vs. Multiple Sourcing: Which Is Better?1 2 Single Sourcing vs. Multiple Sourcing: What’s the Difference?2 3 Long-Term Agreements: What Are They and Why Do They Matter?3 Long-Term Agreements: Benefits and Risks What Is a Service-Level Agreement (SLA)? Service-Level Agreement (SLA) - an overview | ScienceDirect Topics

Available-to-promise (ATP) is the uncommitted portion of a company’s inventory and planned production maintained in the master schedule to support customer-order promising. ATP is calculated by subtracting the customer orders and forecast from the projected on-hand inventory. The projected on-hand inventory is calculated by adding the beginning inventory and the master production schedule (MPS) and subtracting the customer orders. The largest customer order that could be accepted for delivery at the end of week 3 without making changes to the MPS is the ATP at the end of week 3. To calculate the ATP, we need to fill in the projected on-hand inventory for each week using the given information:

Table

Week

Forecast

Customer Orders

MPS

Projected On-Hand Inventory

ATP

1

20

22

0

43 + 0 - 22 = 21

21 - 20 = 1

2

20

17

0

21 + 0 - 17 = 4

4 - 20 = -16

3

20

10

80

4 + 80 - 10 = 74

74 - 20 = 54

The ATP at the end of week 3 is 54, which means that the company can promise 54 units of inventory to customers without changing the MPS. However, the question asks for the largest customer order that could be accepted, which means that we need to consider the existing customer orders as well. The customer orders for week 3 are 10, which means that the company has already committed 10 units of inventory to customers. Therefore, the largest customer order that could be accepted for delivery at the end of week 3 is 54 + 10 = 64 units. However, this is not one of the options given in the question. The closest option that is less than or equal to 64 is 61, which is option C12 References: 1: CPIM Part 1 - Section A - Module 1 - Session 4 - Master Scheduling 2: CPIM Part 1 - Section A - Module 1 - Session 5 - Available to Promise

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

 Absorption costing is a method of allocating all manufacturing costs to the units produced. It includes both fixed and variable costs in the calculation of the unit cost. In this example, the fixed cost per unit is §10, which is obtained by dividing the total fixed cost of §200,000 by the number of units produced (20,000). This fixed cost per unit is then added to the variable cost per unit to get the total unit cost under absorption costing. Variable costing, on the other hand, only assigns variable costs to the units produced and treats fixed costs as period costs. Activity-based costing (ABC) is a method of allocating overhead costs to products or services based on the activities they consume. Overhead costing is a general term that refers to any method of assigning overhead costs to products or services. References:

CPIM Part 2 Learning System, Module 2: Demand Management, Section 2.4: Costing Methods and Cost Behavior

CPIM Part 2 Learning System, Module 3: Supply, Section 3.5: Cost Management

The discrete available-to-promise (ATP) method is a calculation based on the available-to-promise figure in the master schedule. For the first period, the ATP is the sum of the beginning inventory plus the MPS quantity minus backlog for all periods until the item is master scheduled again. For other periods, the quantity that is available for an item is based on the quantity available within an individual purchase. Therefore, the master production receipt quantity is committed to requests only for shipment before the next MPS receipt12. References:

•1: APICS CPIM Part 2 Exam Content Manual, Version 8.0, p. 29

•2: NetSuite Applications Suite - Available to Promise Methods3

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

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

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

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

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

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

The Growth Stage Of The Product Life Cycle [Explained]

Product Life Cycle - Definition, Stages, Usage

The four stages of the product life cycle

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 firm must 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

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

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)

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

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 inventory quickly 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

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

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

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

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

Rough Cut Capacity Planning (RCCP) - Definition, Example, and Benefits

Rough Cut Capacity Planning (RCCP) - Meaning, Objectives, and Advantages

Rough Cut Capacity Planning (RCCP) - Overview, Steps, and Example

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

CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.4: Master Scheduling

CPIM Part 2 Learning System, Module 3: Supply, Section 3.2: Material Requirements Planning

If demand is relatively stable and has only minor random variation, a stable or slow-responding forecasting method, such as a moving average with a long period, is best. Fast-responding methods are prone to overreact to noise in such cases.

“Slow-responding methods are preferred when random variation is small and stability is desired in forecasted outputs.”

— CPIM ECO Module; Forecasting Techniques Section

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

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

The tracking signal is a measurement that indicates there may be bias in the forecast model. The tracking signal is the ratio of the cumulative forecast error to the mean absolute deviation (MAD). It measures how well the forecast is tracking the actual demand over time. A tracking signal of zero means that the forecast is perfectly accurate. A tracking signal within the range of -4 to +4 is considered acceptable. A tracking signal outside this range indicates that the forecast is consistently overestimating or underestimating the demand, which implies that there is bias in the forecast model. Bias is the tendency of a forecast to be consistently higher or lower than the actual demand. Bias can be caused by factors such as inaccurate data, inappropriate forecasting methods, or changes in demand patterns. References:

Managing Supply Chain Operations, Chapter 5: Demand Management and Forecasting, Section 5.2: Forecasting Methods, Subsection 5.2.3: Forecast Accuracy and Control

CPIM Exam Content Manual, Module 3: Demand, Section 3.2: Forecasting, Subsection 3.2.2: Forecasting Methods, Subsubsection 3.2.2.3: Forecast Accuracy and Control

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

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

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

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

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

Cellular Manufacturing: Definition, Examples & Advantages — Katana

Cellular or Functional Layout? - IGI Global

Functional Layout - Velaction

What is cell layout? - Studybuff.com

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

•CPIM Part 2 Exam Content Manual, p. 49

•Cellular Manufacturing: A Comprehensive Guide

•Cellular manufacturing - Wikipedia

Sales and Operations Planning (S&OP) is the proper forum for evaluating cross-functional impacts of a change in demand, including capacity, supply, and financial implications. Executive-level S&OP meetings align demand and supply decisions and ensure that changes in strategic direction are reviewed and approved.

“The S&OP executive meeting is where demand and supply plans are balanced and decisions are made on resource changes or market actions.”

— CPIM SMR Module, S&OP Function and Governance