APICS CPIM-Part-2 Dumps - Pass Certified in Planning and Inventory Management (Part 2) Exam in 2026

A lean relationship is a type of supplier-customer relationship that focuses on eliminating waste, improving quality, and reducing costs throughout the supply chain. A lean relationship requires a high level of collaboration, trust, and transparency between the supplier and the customer. Communication between the counterparts at the two companies is an essential activity that will enhance a successful lean relationship. Communication can help to align the goals, expectations, and performance measures of the supplier and the customer, as well as to identify and resolve any issues or problems that may arise. Communication can also facilitate information sharing, feedback, and continuous improvement initiatives.Reference: CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.1: Develop Distribution Plans, Subsection 7.1.3: Describe how to develop supplier-customer relationships (page 66).

A two-bin system is a type of inventory management technique that uses two containers or bins to store and replenish items. When the first bin is empty, the second bin is used to supply the demand while the first bin is reordered. A two-bin system is most responsive to changes in demand levels because it triggers replenishment orders based on actual consumption rather than fixed time intervals or reorder points. A two-bin system can reduce stockouts, improve service levels, and lower inventory costs.Reference: CPIM Exam Content Manual Version 7.0, Domain 5: Plan and Manage Inventory, Section 5.2: Implement Inventory Plans, Subsection 5.2.3: Describe how to implement inventory replenishment techniques (page 46).

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 the capacity 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).

Visual control boards are tools that display the key performance indicators (KPIs) and metrics of a production system in a graphical and easy-to-understand format. Visual control boards are usually located at several locations within the production facility, such as the work centers, the shop floor, or the management office. Visual control boards help to communicate operational performance by providing real-time and relevant information, enabling quick feedback and corrective actions, and promoting transparency and accountability.

The other options are not the most effective approaches in communicating operational performance. Quality performance measures are indicators that evaluate the degree to which the products or services meet or exceed the specifications and standards. Quality performance measures are important for communicating operational performance, but they are not sufficient, as they do not cover other aspects of performance, such as cost, time, or customer satisfaction. Reviewing conformance to schedule is a method of comparing the actual production output with the planned production output, based on the master production schedule or the material requirements plan. Reviewing conformance to schedule is useful for communicating operational performance, but it is not timely, as it is usually done after the production is completed, and it does not provide enough details or explanations for the deviations or variances. Monthly meetings with employees are events that involve discussing and reviewing the operational performance with the staff members who are involved in the production process. Monthly meetings with employees are beneficial for communicating operational performance, but they are not frequent, as they are only held once a month, and they may not be effective, as they may lack participation or engagement from the employees.

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 the direction 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.