Free APICS CPIM-Part-2 Practice Exam with Questions & Answers | Set: 3

Shop backlogs are the amount of work that has been ordered but not yet completed by a production facility1. Shop backlogs remain constant when the work input, which is the rate of incoming orders, equals the work output, which is the rate of finished products2. This means that the production facility is able to match the demand and supply of its products, and maintain a steady level of backlog. This can indicate that the production facility is operating efficiently and effectively, and has a stable market position.

The other options are not correct. Forecasts are updated on the basis of the longest lead time item means that the production facility uses the item that takes the longest time to produce as a reference for planning its future production3. This may help the production facility to avoid underestimating its capacity or overcommitting its resources, but it does not guarantee that the shop backlogs will remain constant, as it depends on the actual demand and supply of its products. Capacity is assumed to be infinite means that the production facility does not consider anylimitations or constraints on its ability to produce its products. This may help the production facility to simplify its production planning and scheduling, but it does not reflect the reality of its operations, and may lead to unrealistic expectations or poor performance. Shop orders are released at a steady rate means that the production facility releases a fixed number of orders to its shop floor at regular intervals. This may help the production facility to smooth out its production flow and reduce variability, but it does not ensure that the shop backlogs will remain constant, as it depends on the actual work input and output.

References : Backlog Definition, Implications, and Real-World Examples - Investopedia; Production Planning - an overview | ScienceDirect Topics; [Production Planning: Definition & Types | Study.com]; [Production Planning: Definition & Types | Study.com]; What is a Sprint Backlog? Create With Examples [2023] • Asana.

A chase operational strategy is one that adjusts production to match the demand pattern. This means that the inventory level is kept low, as the output is synchronized with the demand. This reduces the inventory cost, as there is less need for holding, ordering, and carrying inventory. A chase strategy also minimizes the risk of obsolescence, spoilage, or excess inventory.

A level operational strategy is one that maintains a constant output rate, production rate, or workforce level. This means that the inventory level fluctuates, as the output may not match the demand. This increases the inventory cost, as there is more need for holding, ordering, and carrying inventory. A level strategy also increases the risk of stockouts, overstocking, or waste.

A mixed-model operational strategy is one that produces several products with the same resources. This means that the inventory level varies, as the output depends on the product mix and the demand. This may increase or decrease the inventory cost, depending on the product characteristics, demand variability, and resource utilization. A mixed-model strategy also requires more flexibility and coordination in production planning and scheduling.

A hybrid operational strategy is one that combines elements of chase and level strategies. This means that the inventory level is balanced, as the output is partly adjusted to the demand and partly kept constant. This may increase or decrease theinventory cost, depending on the degree of adjustment and constancy. A hybrid strategy also requires more trade-offs and compromises in production decision making.

References:

• APICS Exam Handbook, page 12
• CPIM Part 1 Study Guide, page 19
• CPIM Part 2 Study Guide, page 17

Ergonomic workstation design should incorporate the reduction of repetitive motion, as this can help prevent musculoskeletal disorders, fatigue, and errors. Repetitive motion can cause strain on the muscles, tendons, and nerves, leading to pain, inflammation, and loss of function. Ergonomic workstation design can reduce repetitive motion by optimizing the layout of the workstation, tools, and materials, using automation or mechanization where possible, and varying the tasks performed by the worker. References: CPIM Part 2 Exam Content Manual, Domain 8: Manage Quality, Continuous Improvement, and Technology, Section A: Quality Management, Subsection 3: Quality Tools and Techniques, Page 37.

The master production schedule (MPS) and final assembly schedule (FAS) are most closely linked in the assemble-to-order (ATO) production strategy. ATO is a production strategy that producescustomized products or services by assembling standardized components or modules according to customer specifications. The MPS is a plan that specifies the quantity and timing of finished products to be produced in a given period. The FAS is a plan that specifies the quantity and timing of final assembly operations to be performed in a given period. In the ATO strategy, the MPS and FAS are closely linked because the MPS determines the demand for the finished products, and the FAS determines the demand for the components or modules. The MPS and FAS are synchronized to ensure that the components or modules are available when needed for the final assembly, and that the finished products are delivered on time to the customers.

The MPS and FAS are not closely linked in the other production strategies. Make-to-stock (MTS) is a production strategy that produces standardized products or services in advance of customer demand, and stores them in inventory until they are sold. The MPS is based on the forecasted demand, and the FAS is not relevant for this strategy, as there is no customization involved. Make-to-order (MTO) is a production strategy that produces customized products or services from raw materials or components after receiving customer orders. The MPS is based on the actual customer orders, and the FAS is not relevant for this strategy, as there is no assembly involved. Engineer-to-order (ETO) is a production strategy that produces customized products or services that require engineering design or modification after receiving customer orders. The MPS is based on the actual customer orders, and the FAS is not relevant for this strategy, as there is no standardization involved. References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.1: Supply Planning Concepts, p. 23; Master Production Schedule; Final Assembly Schedule; Assemble to order.

 A production cell is a group of machines or workstations that are arranged in a layout that facilitates the flow of materials and work-in-progress in a manufacturing system. A production cell is usually designed to produce a family of products or services that have similar characteristics or requirements. A production cell is often based on the principles of lean manufacturing and group technology, which aim to eliminate waste and improve quality. When designing a production cell, the most important consideration is the flow of materials into the cell and sequencing of operations to minimize total cycle time. The flow of materials into the cell refers to the movement and direction of the raw materials, components, or modules that enter the cell for processing. The sequencing of operations refers to the order and arrangement of the machines or workstations that perform the processing steps within the cell. Minimizing total cycle time refers to reducing the time it takes to complete a product or service from start to finish. By considering these factors, a production cell can achieve high efficiency, flexibility, and productivity.

The other options are not the most important considerations when designing a production cell. The unit per hour requirement for the production cell to meet the sales forecast is not the most important consideration, as it is a result of the demand planning and capacity planning functions, which are separate from the production cell design. The unit per hour requirement indicates how many units of a product or service the production cell needs to produce in an hour to meet the expected customer demand. The output rate for the first operation and move time after the last workstation are not the most important considerations, as they are only parts of the total cycle time calculation, which also includes the processing time and waiting time for each operation. The output rate for the first operation is the number of units that the first machine or workstation in the cell can produce in an hour. The move time after the last workstation is the time it takes to transport the finished product or service from the last machine or workstation in the cell to the next stage or destination. The take time requirement for each operator to meet the monthly production goals of the plant is not the most important consideration, as it is a measure of labor productivity, which is affected by factors such as skill, training, motivation, and supervision. The take time requirement for each operator is the amount of time that an operator needs to complete one unit of a product or service. References: CPIM Exam Content Manual Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.2: Detailed Scheduling Methods, p. 38; Cellular manufacturing; Production Cell.

 Failure Mode and Effects Analysis (FMEA) is a systematic, proactive method for identifying and evaluating the potential causes and impacts of failures in a process, product, or service1. It aims to anticipate and prevent failures by assessing the relative effect and risk of different failure modes1.

The use of FMEA would be most appropriate prior to a new product introduction (NPI). During the NPI phase, FMEA can be used to identify potential failure modes in the design of the product and assess their potential effects on the product’s performance and reliability. This allows for proactive measures to be taken to mitigate or eliminate these risks before the product is launched. FMEA is particularly useful in the early stages of design, as it helps in making informed decisions that can improve the quality and safety of the product1.

In contrast, using FMEA after a one-time quality incident investigation (A) or during evaluation of a new market opportunity © may not be as effective, as these situations do not involve the design or development of a product or process. While FMEA can be used during the define phase of a Six Sigma project (B), its most impactful application is during the design phase of a new product, where it can significantly influence the final outcome.

A control chart is a tool that shows process changes and random variation over time. A control chart is a graph that plots data points over time and shows the mean and the upper and lower control limits of the process. The mean is the average value of the data, and the control limits are the boundaries of the normal variation of the process. A control chart can help monitor the stability and performance of a process by detecting any unusual or non-random patterns in the data, such as trends, cycles, or shifts. A control chart can also help identify the sources of variation in the process, whether they are common causes (inherent to the process) or special causes (external factors). A control chart can be used for both variable data (measured on a continuous scale) and attribute data (counted or categorized).

A check sheet is a tool that collects and summarizes data in a structured way. A check sheet is a simple form that records the frequency or occurrence of specific events or problems during a process. A check sheet can help organize and analyze data by showing patterns, trends, or relationships among the data. A check sheet can also help identify potential causes of problems or areas for improvement.

A histogram is a tool that displays the distribution of data in a graphical way. A histogram is a type of bar chart that shows how many times each value or range of values occurs in a data set. A histogram can help describe and compare data by showing the shape, center, spread, and variation of the distribution. A histogram can also help identify outliers, gaps, or clusters in the data.

A Pareto analysis is a tool that prioritizes problems or causes based on their frequency or impact. A Pareto analysis is based on the Pareto principle, which states that 80 percent of the effects come from 20 percent of the causes. A Pareto analysis uses a combination of a bar chart and a line graph to show the relative importance of different factors in a process. The bars represent the frequency ormagnitude of each factor, and the line represents the cumulative percentage of the total effect. A Pareto analysis can help focus on the most significant problems or causes and allocate resources accordingly.

References := Control Chart - Statistical Process Control Charts | ASQ, A Guide to Control Charts - iSixSigma, 2 Tools to Understand Variation in Your Improvement Journey, Understanding variation | Turas | Learn

An effective single-sourcing relationship requires that the organizations must be mutually dependent. This means that both the customer and the supplier rely on each other for their success and benefit from the partnership. Mutual dependence can foster trust, collaboration, communication, innovation, and problem-solving between the parties. It can also reduce the risks of supply disruptions, quality issues, price fluctuations, and contract breaches. Mutual dependence can be achieved by aligning the goals, values, and strategies of the organizations, as well as by sharing information, resources, and risks. Demand for the customer’s products does not have to be stable for a single-sourcing relationship to work. In fact, single sourcing can help the customer cope with demand variability by ensuring a consistent supply of goods or services from the supplier. The supplier does not have to offer the lowest price per unit for a single-sourcing relationship to be effective. The customer may choose a single supplier based on other factors, such as quality, delivery, innovation, or reputation. The price per unit may not reflect the total cost of ownership, which includes other costs such as transportation, inventory, maintenance, and warranty. The organizations do not have to be located close to each other for a single-sourcing relationship to be successful. With advances in technology and logistics, distance is not a major barrier for communication and coordination between the customer and the supplier. Moreover, single sourcing can reduce the complexity of managing multiple suppliers across different locations. References := What Is Single Sourcing? (Plus Benefits and 7 Examples), Single Sourcing Vs Sole Sourcing Sourcing | CIPS, What Is Single Sourcing In Procurement And Why Is It Important?

Exponential smoothing is a forecasting technique that uses a weighted average of past and present data to predict future values. It is suitable for time series data that have a stable or slowly changing trend and no significant seasonal variations. Exponential smoothing assigns more weight to the most recent data, giving it a higher influence on the forecast. This makes it more responsive to changes in demand patterns than other techniques, such as moving average or time series decomposition, which use fixed weights or historical data. The Delphi method is a qualitative technique that involves a panel of experts who provide their opinions and feedback on a topic through multiple rounds of surveys. It is not based on historical data or mathematical formulas, but rather on human judgment and consensus. Therefore, it is not appropriate for developing a forecast. References: CPIM Part 2 Exam Content Manual, Version 7.0, Domain 3: Plan and Manage Demand, Section A: Demand Management, Subsection 2: Forecasting Techniques and Methods, p. 14-15.

Production activity control (PAC) is the function of managing the flow of materials and work-in-progress in a manufacturing system. PAC is responsible for executing the master production schedule and the material requirements plan, as well as for planning, implementing, and monitoring the production activities. PAC aims to ensure that the required resources are available, that the production orders are released and completed on time, and that the quality and quantity standards are met. A result of effective PAC is that the actual input/output matches the planned input/output. This means that the actual amount and timing of materials, labor, and machines used for production are consistent with the planned amount and timing. This indicates that the production process is efficient, reliable, and synchronized with the demand. This also helps to reduce inventory, lead time, and waste.

The other options are not necessarily results of effective PAC. Less scrap and rework on the shop floor may be a result of effective quality control, which is a separate function from PAC. Quality control is concerned with inspecting and testing the products or services to ensure that they meet the specifications and standards. Fewer machine hours are required for production may be a result of effective process improvement, which is a separate function from PAC. Process improvement is concerned with analyzing and enhancing the production methods and techniques to increase productivity and performance. Available capacity is increased may be a result of effective capacity planning, which is a separate function from PAC. Capacity planning is concerned with determining and adjusting the optimal level of resources needed to meet the demand. References: Production Activity Control - Tutorial; Production Control: Process, Types and Best Practices - ProjectManager; Production control - Wikipedia.