Free CPIM-Part-2 Questions Attempt

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.

 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.

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]

 The approved output of the distribution requirements planning (DRP) process is an input to the master production planning (MPS) process. The DRP process determines the quantity and timing of finished goods to be delivered to each distribution center or warehouse to meet customer demand1. The output of the DRP process is a distribution schedule that specifies the planned delivery dates and quantities of products2. The distribution schedule is then used as an input to the MPS process, which determines the quantity and timing of end items to be produced at each manufacturing facility3. The MPS process balances the demand from the distribution schedule with the available capacity and resources of the production system3. The output of the MPS process is a master production schedule that specifies the planned production dates and quantities of end items3.

References: CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section 4.1: Supply Management Concepts and Tools, p. 33-34.