Free Practice Questions for APICS CPIM-Part-2 Exam

Safety stock is a type of inventory that is held in excess of the expected demand to protect against uncertainties such as demand variability, lead time variability, or supply disruptions. Safety stock can help to reduce the risk of stockouts, which are situations where the inventory level falls below thedemand level and the customer orders cannot be fulfilled. Safety stock can be determined by using different methods, such as statistical models, service level policies, or empirical rules. One of the common criteria that is used to determine safety stock in a distribution center (DC) is the probability of stocking out, which is the likelihood that the inventory level will be insufficient to meet the demand during a replenishment cycle. The probability of stocking out can be calculated by using the normal distribution, assuming that the demand and lead time are normally distributed. The probability of stocking out can also be expressed as the complementary value of the service level, which is the percentage of customer orders that can be satisfied from the available inventory. A higher probability of stocking out implies a lower service level and a lower safety stock. A lower probability of stocking out implies a higher service level and a higher safety stock.

References: CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.2: Implement Distribution Plans, Subsection 7.2.2: Describe how to implement inventory management techniques in distribution (page 68).

Option overplanning is a technique used in an assemble-to-order (ATO) environment to address uncertainty in the product mix. An ATO environment is a production strategy where products are assembled from components or subassemblies after receiving customer orders1. Option overplanning is the practice of planning and stocking more components or subassemblies than the expected demand, based on historical data or forecasts2. The purpose of option overplanning is to increase the flexibility and responsiveness of the production system, by allowing the manufacturer to meet a variety of customer orders with different options or features. Option overplanning can help reduce the risk of stockouts, improve customer service, and capture new market opportunities.

Option overplanning is not used to verify appropriate inventory levels, schedule detailed production, or compensate for forecast bias. Verifying appropriate inventory levels is a function of inventory management, which involves monitoring and controlling the quantity and quality of materials and products in stock. Scheduling detailed production is a function of detailed scheduling, which involves allocating resources and setting priorities for specific tasks or orders in the production process. Compensating for forecast bias is a function of demand management, which involves adjusting the forecasts based on the difference between the actual and predicted demand.

References: Assemble-to-Order (ATO): Overview, Examples, Pros and Cons - Investopedia; Assemble-to-Order - Overview, How It Works, Advantages; [Assemble-to-Order (ATO) Definition | Operations & Supply Chain Dictionary]; [Assemble-to-Order (ATO) - MBA Skool-Study.Learn.Share.]; [InventoryManagement - Definition, Types, Objectives and Examples]; [Detailed Scheduling - an overview | ScienceDirect Topics]; [Forecast Bias - an overview | ScienceDirect Topics].

Process improvement is a method of analyzing and enhancing the production methods and techniques to increase productivity and performance. Process improvement aims to reduce costs, waste, defects, and errors, as well as to improve quality, efficiency, and customer satisfaction. When considering process improvement, the first approach that should be considered is making better use of existing resources. This means that the production system should optimize the utilization and allocation of the available resources, such as materials, labor, machines, and space. This can be achieved by implementing various techniques, such as lean manufacturing, six sigma, kaizen, or 5S. Making better use of existing resources can help to improve the process without requiring additional investment or expenditure.

The other options are not the first approaches that should be considered as part of process improvement. Hiring more skilled people to perform the job is not the first approach, as it may increase the labor cost and require more training and supervision. Hiring more skilled people may not necessarily improve the process if the existing methods and techniques are inefficient or ineffective. Buying better and faster equipment is not the first approach, as it may involve a large capital outlay and a long payback period. Buying better and faster equipment may not necessarily improve the process if the existing resources are underutilized or misallocated. Applying stricter quality control is not the first approach, as it may increase the inspection and testing cost and time. Applying stricter quality control may not necessarily improve the process if the existing methods and techniques are prone to errors or defects. References: CPIM Exam Content Manual Version 7.0,Domain 8: Manage Quality, Continuous Improvement, and Technology, Section 8.2: Continuous Improvement Concepts, p. 46; Process Improvement; Process Improvement Definition.

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 poka-yoke technique of process design is a method for preventing or detecting errors and defects in the manufacturing process. Poka-yoke means “mistake-proofing” in Japanese, and it aims to eliminate human errors by creating systems that either make it impossible for a mistake to occur or make the mistake immediately obvious once it has occurred1. One way to implement poka-yoke is to use part attributes, which are physical features of a part that ensure it can only be assembled or used in the correct way2. For example, a part attribute can define the correct orientation of a part, such as a notch, a hole, a shape, or a color, so that it can only fit into the matching component. This prevents the operator from inserting the part incorrectly or using the wrong part.

The other options do not illustrate the poka-yoke technique of process design. Reducing the number of types of fasteners is an example of standardization, which is a method for simplifying and streamlining the production process by minimizing variation and complexity3. Customized containers that hold mixed sets of parts are an example of kitting, which is a method for organizing and delivering parts or materials to the point of use or consumption in the production process4. An andon is a visual or audible signal that indicates the status of a machine or process, such as normal,abnormal, or emergency5. An andon can be used to alert operators or supervisors of problems or issues, but it does not prevent or detect errors by itself.

References: Lean Six Sigma Tools: What is Poka-Yoke? - Villanova University; What is Poka-Yoke? Mistake & Error Proofing | ASQ; What is Poka-Yoke? [Examples, Principles, Methods]; Standardization - an overview | ScienceDirect Topics; Kitting - an overview | ScienceDirect Topics.