CPIM-Part-2 Exam Dumps - APICS CPIM Questions and Answers

A company that has prioritized customers A, B, and C, filling orders in that sequence, will have an impact on the customer service levels for customers B and C. Customer service level is the percentage of orders that are fulfilled on time and in full. The higher the customer service level, the more satisfied the customer is with the company’s performance. When a company prioritizes customers based on their importance, value, or profitability, it means that it allocates its resources and capacity to serve the most preferred customers first, and then the less preferred customers later. This can result in different customer service levels for different customer segments. In this case, customer A is the most preferred customer, followed by customer B and then customer C. Therefore, customer A will receive the highest customer service level, as the company will fill its orders first and ensure that they are delivered on time and in full. Customer B will receive the second highest customer service level, as the company will fill its orders after customer A’s orders are fulfilled. Customer B may experience some delays or shortages if the company runs out of resources or capacity after serving customer A. Customer C will receive the lowest customer service level, as the company will fill its orders last, after customer A’s and B’s orders are completed. Customer C may face longer delays or higher shortages if the company has exhausted its resources or capacityafter serving customer A and B. Therefore, the impact of prioritizing customers A, B, and C is that customer B has a higher service level than customer C. References := How to Prioritize Customer Requests - Gladly, Support Ticket Prioritization - 6 Best Practices to follow, [Customer Service Level: Definition & Calculation]

 Apush system is a production system that operates based on planned or forecasted demand, rather than actual or current demand. In a push system, work orders or tasks are released to the work centers according to a predetermined schedule, regardless of the availability of capacity or resources at the work centers. This means that work centers may receive work even if they are already overloaded or have no idle time, which can result in long lead times, high inventory levels, and poor customer service1.

The other options are more likely to occur when using a pull system, which is a production system that operates based on actual or current demand, rather than planned or forecasted demand. In a pull system, work orders or tasks are released to the work centers only when there is a need or a request from the downstream work centers or customers. This means that work centers are scheduled using finite capacity planning, which is a method of allocating capacity and resources based on the actual availability and constraints of the work centers2. Work centers also operate using decentralized control, which means that each work center has the autonomy and authority to make decisions based on the local conditions and signals from the environment3. Work centers also signal previous work centers when they are ready for more work, which is a way of synchronizing the flow of materials and information along the production process4.

References: Push System vs. Pull System: Adopting A Hybrid Approach To MRP; Push Systems vs. Pull System: Definitions and Differences; JUST-IN-TIME MANUFACTURING | SpringerLink; 9 Just-In-Time and Lean Systems - Seneca College.

Full pegging is a method of tracing the relationship between supply and demand in a manufacturing system. Full pegging shows the link between each demand and its corresponding supply, as well as the link between each demand and the highest-level order that triggered it. Full pegging helps to identify the impact of changes in demand or supply on the production plan, and to make adjustments accordingly. Full pegging is most beneficial in an assemble-to-order (ATO) environment, where products are customized by assembling standardized components or modules according to customer specifications. In an ATO environment, full pegging can show the connection between the finished products, the components or modules, and the customer orders. This can help to optimize the inventory level, reduce lead time, and improve customer service.

Full pegging is not very useful in the other production environments. Distribute-to-order is a production strategy that delivers finished products from inventory to customers based on their orders. There is no customization or assembly involved in this strategy, so full pegging is not needed. Make-to-order is a production strategy that produces customized products from raw materials or components after receiving customer orders. There is no standardization ormodularization involved in this strategy, so full pegging is not applicable. Make-to-stock is a production strategy that produces standardized products in advance of customer demand, and stores them in inventory until they are sold. There is no customization or assembly involved in this strategy, so full pegging is not relevant. References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.1: Supply Planning Concepts, p. 23; Full Pegging; Assemble to order.

 Rivalry among competing sellers is the degree of competition between firms in the same industry. It can affect the profitability and market share of the firms, and influence their strategies and decisions. Rivalry tends to be stronger when the demand is slow, the products are similar, the switching costs are low, and the capacity is high. Rivalry can also lead to innovation, differentiation, and customer satisfaction.

Rivalry among competing sellers is generally weaker when buyer demand is growing rapidly. This is because a fast-growing market offers more opportunities for expansion and growth for all the firms, without having to compete aggressively for a limited number of customers. A fast-growing market also reduces the pressure to cut prices or increase advertising, as the demand exceeds the supply. A fast-growing market can also attract new entrants, which can increase the rivalry in the long run, but in the short run, it can create more diversity and segmentation in the market.

References: Competitive Rivalry: What Is It and Why Is It Important? | Indeed.com; Industry Rivalry & Competition | Porter’s Five Forces.

 The capacity requirements plan is used primarily to balance capacity and load at work centers. A work center is a location where one or more resources perform a specific operation or a group of operations. Capacity is the amount of time or output that a work center can offer for production activities. Load is the amount of time or output that a work center is required to produce based on the planned production schedule. Balancing capacity and load means matching the available capacity with the required load, so that there is no excess or shortage of capacity at any work center.

The capacity requirements plan is a report that shows the projected load and capacity of each work center over a planning horizon. It is derived from the master production schedule (MPS), which specifies the quantity and timing of finished goods to be produced, and the bill of materials (BOM), which specifies the components and materials needed for each finished good. The capacity requirements plan also uses the routing file, which specifies the sequence of operations and work centers required for each finished good, and the work center file, which specifies the capacity and availability of each work center. The capacity requirements plan can help to identify any gaps or surpluses in capacity at each work center and to take corrective actions, such as revising the MPS, rescheduling operations, adding or reducing resources, or outsourcing production.

The other options are not the primary uses of the capacity requirements plan. Calculating the level of available capacity is an input to the capacity requirements plan, not an output. The level of available capacity is determined by the work center file, which contains information such as shifts, hours, efficiency, utilization, and maintenance of each work center. Determining the overall product load profile is not a use of the capacity requirements plan, as it does not consider the product mix or demand variability. The overall product load profile is a general estimate of the total production volume or demand over a period of time. Determining the priority of orders is not a use of thecapacity requirements plan, as it does not consider the due dates or urgency of orders. The priority of orders is determined by using priority rules or dispatching methods, such as first-come-first-served (FCFS), shortest processing time (SPT), earliest due date (EDD), or critical ratio (CR).

References := Capacity Requirements Planning (CRP): Definition and Procedures, Capacity Requirements Planning (CRP Plan and Strategies) - ERP Information, Definition of Capacity Requirements Planning (CRP) - Gartner …

Measurements are quantitative or qualitative data that indicate the magnitude, frequency, or impact of the problem. Measurements help to define the problem clearly, objectively, and specifically, as well as to establish a baseline for improvement. Therefore, what should be added to the problem statement to make it more useful is measurements that help describe the problem. For example, a more useful problem statement could be “We have observed that the inventory system causes 15% of plastic parts to be damaged or misplaced every month, resulting in $10,000 of additional costs and 5% of customer complaints.”

A3 method is a tool that can be used in a root cause corrective action process to determine the problem of a machine that is suddenly having excessive downtime. A3 method is a structured problem-solving approach that follows the Plan-Do-Check-Act (PDCA) cycle and uses a single sheet of paper (A3 size) to document the problem, analysis, countermeasures, and results1. A3 method can help identify the root cause of a problem by using tools such as the 5 Whys or the fishbone diagram, and then develop and implement effective corrective actions to prevent recurrence2. A3 method can also help communicate the problem and the solution to stakeholders, as well as monitor and evaluate the outcomes3.

The steps of the A3 method are4:

• Step 1: Define the problem and its impact. Describe the current situation, the gap between the actual and the desired state, and the scope and magnitude of the problem.
• Step 2: Identify the root cause of the problem. Use tools such as the 5 Whys or the fishbone diagram to analyze the factors that contribute to the problem and drill down to its root cause.
• Step 3: Propose countermeasures to address the root cause. Generate possible solutions that can eliminate or reduce the root cause, and evaluate their feasibility, effectiveness, and costs.
• Step 4: Implement countermeasures. Select the best solution and plan how to execute it. Define the roles, responsibilities, resources, timeline, and expected outcomes of the implementation.
• Step 5: Check results and process. Measure and compare the results before and after the implementation, and verify if the problem has been solved or improved. Also check if the process has been followed correctly and document any deviations or issues.
• Step 6: Standardize successful processes or identify unresolved issues. If the results are satisfactory, standardize the new process and ensure that it is sustained. If not, identify the remaining or new issues and repeat the A3 method.

Therefore, A3 method is a tool that can be used in a root cause corrective action process to determine the problem of a machine that is suddenly having excessive downtime.

References: 1: What is an A31 2: How to Use an A3 Report for Problem Solving 2 3: The A3 Problem Solving Method 4 4: The A3 Report – A Simple Tool for Complex Problems 5

 Capable-to-promise (CTP) is a method of order promising that considers both material and capacity availability. CTP is more appropriate than available-to-promise (ATP), which only considers material availability, in environments where the production process is complex, customized, or resource-intensive, and where the demand is uncertain or variable. CTP can provide more accurate and realistic delivery dates, as well as optimize the use of resources and reduce inventory costs.

Among the options given, specialty chemicals packaged and shipped to order is the most suitable environment for CTP. This is because specialty chemicals are often produced in small batches or on demand, according to the specific requirements and preferences of each customer. Therefore, the production process requires high flexibility and customization, as well as careful coordination of materials and capacity. The demand for specialty chemicals may also vary depending on the market conditions and customer needs. CTP can help the company to promise delivery dates that take into account the availability of both materials and capacity, as well as the production lead time and transportation time.

The other options are less suitable for CTP, as they are more likely to use standard or mass production processes, where the products are made in large quantities or in advance, and where the demand is more stable or predictable. In these environments, ATP may be sufficient to promise delivery dates based on material availability alone, without considering capacity constraints.

References : What is a Capable-to-Promise System (CTP System … - Techopedia; Order promising - Supply Chain Management | Dynamics 365; Capable to Promise (CTP) (MRP and Supply Chain Planning Help) - Oracle; Calculate sales order delivery dates using CTP - Supply Chain ….

The S&OP process in an ATO production environment focuses on control of key intermediate part inventory, which are the components or subassemblies that are produced in advance and assembledto order when the customer order is received. By controlling the key intermediate part inventory, the S&OP process can balance the demand and supply of the final products, while reducing the lead time and inventory costs. The key intermediate part inventory is also known as the decoupling point, where the production process switches from MTS to MTO mode. The S&OP process can determine the optimal level of key intermediate part inventory based on the forecast and backlog of customer orders, as well as the production capacity and costs.

The other options are less relevant for the S&OP process in an ATO production environment. End product backlog refers to the customer orders that have not been fulfilled yet. Finished goods inventory refers to the final products that are ready for sale. Raw material inventory refers to the basic materials that are used to produce the components or subassemblies. These types of inventory are more applicable for MTS or MTO production environments, where the production process is either entirely based on forecast or entirely based on sales order. In an ATO production environment, the S&OP process does not need to control these types of inventory, as they are either minimal or nonexistent. References : CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section B: Production Planning and Control, Subsection 1: Production Strategies and Techniques, Page 19; Demand management process in assemble to order (ATO) environment; Assemble-to-Order (ATO): Overview, Examples, Pros and Cons.

The measurement that indicates there may be bias in the forecast model is the tracking signal. The tracking signal is a ratio of the cumulative forecast error to the mean absolute deviation (MAD). The cumulative forecast error is the sum of the differences between the forecasted and actual values over a period of time. The MAD is the average of the absolute values of the forecast errors. The tracking signal can help detect and measure the bias of a forecast model by comparing the magnitude and direction of the forecast errors. A positive tracking signal indicates that the forecast model is consistently over-forecasting, while a negative tracking signal indicates that the forecast model is consistently under-forecasting. A zero tracking signal indicates that there is no bias in the forecast model. A rule of thumb is that if the tracking signal exceeds a certain threshold, such as ±4, then there is a significant bias in the forecast model that needs to be corrected.

The other measurements do not indicate bias in the forecast model, but rather other aspects of the forecast accuracy or variability. The MAD is a measure of the average error or deviation of the forecast model from the actual values. The MAD does not indicate bias, as it does not consider thedirection or sign of the errors. A low MAD indicates a high accuracy of the forecast model, while a high MAD indicates a low accuracy of the forecast model.

The standard deviation is a measure of the dispersion or variation of the forecast errors around their mean. The standard deviation does not indicate bias, as it does not consider the direction or sign of the errors. A low standard deviation indicates a low variability or uncertainty of the forecast model, while a high standard deviation indicates a high variability or uncertainty of the forecast model.

The variance is a measure of the squared deviation or dispersion of the forecast errors around their mean. The variance does not indicate bias, as it does not consider the direction or sign of the errors. The variance is related to the standard deviation, as it is equal to the square of the standard deviation. A low variance indicates a low variability or uncertainty of the forecast model, while a high variance indicates a high variability or uncertainty of the forecast model.

References := Forecast KPI: RMSE, MAE, MAPE & Bias | Towards Data Science, A Critical Look at Measuring and Calculating Forecast Bias – Demand Planning, Forecast bias - Wikipedia