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

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