Free APICS CPIM-8.0 Practice Exam with Questions & Answers | Set: 10

A push system is a production system that relies on forecasts and schedules to plan the production and distribution of goods and services. A pull system is a production system that responds to actual customer demand and signals to trigger the production and distribution of goods and services. A transition from a push system to a pull system requires a change in the mindset and the processes of the organization, as well as the adoption of new tools and techniques to enable a demand-driven production system12.

One of the tools that is commonly used in a pull system is kanban, which is a visual signal that indicates the need for replenishment of materials or products. Kanban cards are attached to standardized containers that hold a fixed amount of inventory. When a container is empty, the kanban card is sent back to the upstream process as a signal to produce more. This way, the inventory level is controlled by the actual consumption of the downstream process, and the production is synchronized with the demand13.

One of the actions that hinders the transition from a push system to a pull system is using work orders as a backup. Work orders are documents that authorize the production of a certain quantity of a product or a service, based on a forecast or a schedule. Work orders are typical of a push system, as they are not triggered by the actual customer demand, but by the planned production. Using work orders as a backup means that the organization is not fully committed to the pull system, and still relies on the push system to ensure the availability of inventory. This can create confusion, inconsistency, and inefficiency in the production system, as well as increase the inventory holding costs and the risk of obsolescence1 .

Therefore, using work orders as a backup is the correct answer, as it is an action that hinders the transition from a push system to a pull system. The other options are actions that support the transition, as they are aligned with the principles and practices of a pull system.

 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.

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)

 Prevention is a risk control strategy that involves avoiding or eliminating the sources of risk. By deciding not to pursue a business opportunity in a foreign market due to political instability and currency fluctuations, the company prevented the potential losses or disruptions that could arise from these factors. Mitigation is a risk control strategy that involves reducing the impact or likelihood of risk. Recovery is a risk control strategy that involves restoring normal operations after a risk event occurs. Wait and see is a risk control strategy that involves monitoring the risk situation and taking action only when necessary. References:

CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.5: Risk Management

CPIM Part 2 Learning System, Module 4: Execution and Control of Operations, Section 4.3: Risk Management

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