APICS CPIM-Part-2 Practice Test - Questions Answers, Page 7

A process capability study is a method of evaluating how well a process can produce outputs that meet the specifications or requirements.A process capability study involves collecting data from a sample of the process output, calculating the process mean and standard deviation, and comparing them with the specification limits1.A process capability study can help identify the sources and causes of variation, measure the performance and quality of the process, and determine the potential for improvement2.

A process capability study would be necessary in a laboratory when frequent failures are occurring. Frequent failures indicate that the process is not capable of producing reliable and consistent results, and that there may be some problems or defects in the process. A process capability study can help diagnose the issues and suggest corrective actions to reduce or eliminate the failures. For example, a laboratory that performs blood tests may conduct a process capability study to find out why some of the test results are inaccurate or invalid, and what factors affect the accuracy and validity of the test results.

The other options are not situations that would require a process capability study, because they are either unrelated or irrelevant to the process performance or quality. A test results are consistently late (A) is a problem of timeliness, not capability. A new technician is hired is a change of personnel, not process. Hours of operation are to be extended (D) is a change of schedule, not process.

Process Capability Analysis Cp, Cpk, Pp, Ppk - A Guide - 1factory

What is Process Capability? Capability Estimates & Studies | ASQ

Substituting capital equipment in place of direct labor can be economically justified for the scenario where volumes are forecasted to increase. This is because capital equipment can provide higher productivity, efficiency, and quality than direct labor, especially when the demand for the product or service is high or growing.Capital equipment can also reduce the labor costs, such as wages, benefits, training, and turnover, that are associated with direct labor12. Therefore, investing in capital equipment can lower the unit cost and increase the profit margin of the product or service, as well as improve the customer satisfaction and loyalty.

The other scenarios are not likely to justify substituting capital equipment in place of direct labor, because they are either irrelevant or ineffective. Material prices are forecasted to increase (B) is a factor that affects the cost of inputs, not outputs. Substituting capital equipment in place of direct labor may not reduce the material costs, unless the capital equipment can use less or cheaper materials than direct labor. Implementing a pull system in production is a method of managing inventory and production based on actual customer demand, rather than forecasts. Substituting capital equipment in place of direct labor may not facilitate the implementation of a pull system, unless the capital equipment can provide more flexibility and responsiveness than direct labor. Functional layouts are being utilized (D) is a way of arranging the production facilities according to the type of operation or function performed. Substituting capital equipment in place of direct labor may not improve the performance or efficiency of a functional layout, unless the capital equipment can reduce the setup time or transportation cost between different functions.

Make-or-Buy Decision - Definition & Examples | Marketing Tutor

Make-or-Buy Decision - Overview, How It Works, Triggers

Make or Buy Decision - Definition & Examples | Marketing Tutor

Make or Buy Decision - What Is It, Examples, Factors, Advantages

Finite loading is a capacity planning approach that considers adjustments to plans based on planned capacity utilization. It does not allow overloading of resources and schedules operations only when there is enough capacity available. Finite loading creates a more realistic schedule for the production processes than other approaches, such as infinite loading, that ignore the capacity constraints and assume that the due dates of orders are absolute. Finite loading is not highly dependent on advanced computer software, although it can benefit from it. It is not only managed by shop floor supervisors, but also by planners and schedulers. It can use historical information, but it is not the only approach that can do so. Therefore, the fundamental difference between finite loading and other capacity planning approaches is that it considers adjustments to plans based on planned capacity utilization.Reference:= CPIM Part 2 Exam Content Manual, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section B: Schedule Production Activities, Subsection 1: Develop a detailed production schedule (p. 28)

Exponential smoothing is a forecasting method that assigns weights to past observations, with more recent observations having higher weights. The alpha value is the smoothing constant that determines how much weight is given to the most recent observation. A low alpha value means that the forecast is based more on the historical average, while a high alpha value means that the forecast is more responsive to the latest changes in demand. A company with stable demand would typically use a low alpha value to smooth out random fluctuations and obtain a more accurate forecast. A beta value is another smoothing constant that is used for trend-adjusted exponential smoothing, which accounts for the presence of a linear trend in the data. A low beta value means that the trend component is based more on the historical average, while a high beta value means that the trend component is more responsive to the latest changes in demand. A company with stable demand would not need to use trend-adjusted exponential smoothing, since there is no significant trend in the data.Reference:= CPIM Part 2 Exam Content Manual, Domain 3: Plan and Manage Demand, Section C: Forecast Demand, Subsection 2: Select appropriate forecasting technique(s) (p. 16)

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.Reference:=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?

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 capacity after 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.Reference:=How to Prioritize Customer Requests - Gladly,Support Ticket Prioritization - 6 Best Practices to follow, [Customer Service Level: Definition & Calculation]

In a make-to-stock (MTS) environment, improving estimates of customer demand would improve the trade-off between the cost of inventory and the level of customer service. MTS is a production strategy that manufactures products in anticipation of customer demand, based on forecasts. The main challenge of MTS is to balance the inventory costs and the customer service levels. Inventory costs include holding costs, ordering costs, and obsolescence costs. Customer service levels measure the ability to meet customer demand without delay or stockout. A trade-off exists between these two objectives, as higher inventory levels can increase customer service levels but also increase inventory costs, and vice versa.

Improving estimates of customer demand can help reduce the trade-off between inventory costs and customer service levels, as it can lead to more accurate production planning and inventory management. By forecasting demand more accurately, a company can avoid overproduction or underproduction, which can result in excess inventory or stockouts, respectively. By producing the right amount of products at the right time, a company can lower its inventory costs and increase its customer service levels.

Eliminating raw material stockouts would not improve the trade-off between inventory costs and customer service levels in a MTS environment, as it would not affect the finished goods inventory or the customer demand. Raw material stockouts are a supply issue that can disrupt the production process and cause delays or shortages in the finished goods. However, they do not directly impact the inventory costs or the customer service levels of the finished goods, which are determined by the demand forecasts and the production plans.

Decreasing the frozen time zone would not improve the trade-off between inventory costs and customer service levels in a MTS environment, as it would increase the variability and uncertainty in the production process. The frozen time zone is the period of time in which no changes can be made to the production schedule, as it is considered fixed and final. Decreasing the frozen time zone would allow more flexibility and responsiveness to changes in demand or supply, but it would also increase the risk of errors, disruptions, or inefficiencies in the production process. This could result in higher production costs, lower quality, or longer lead times, which could negatively affect the inventory costs and the customer service levels.

Reducing manufacturing overtime would not improve the trade-off between inventory costs and customer service levels in a MTS environment, as it would reduce the production capacity and output. Manufacturing overtime is a way of increasing the production capacity and output by extending the working hours of the production resources, such as labor or equipment. Reducing manufacturing overtime would lower the production costs, but it would also lower the production output. This could result in insufficient inventory to meet customer demand, which could lower the customer service levels.Reference:=Make-to-Stock (MTS) Definition,Make-to-Stock (MTS) vs Make-to-Order (MTO) | TradeGecko,Value Creation: Assessing the Cost-Service Trade-off

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 or magnitude 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.

Rough-cut capacity planning (RCCP) is a long-term capacity planning technique that validates the master production schedule (MPS) by comparing the required capacity and the available capacity of critical resources. Critical resources are those that have the most impact on the production process, such as machines, labor, or materials. RCCP helps to identify any potential imbalances or bottlenecks in the production system and to adjust the MPS or the resource availability accordingly.

To perform RCCP, one of the forms of data that is required is critical work center availability. A work center is a location where one or more resources perform a specific operation or a group of operations. A critical work center is a work center that has a high utilization rate, a low flexibility, or a high influence on the production output. Critical work center availability is the amount of time or capacity that a critical work center can offer for production activities. Critical work center availability can be affected by factors such as shifts, holidays, maintenance, breakdowns, or setups. RCCP uses critical work center availability to determine whether there is enough capacity to meet the planned production.

Current work in process (WIP) is not a form of data that is required for RCCP. WIP is the inventory of partially finished goods that are waiting for further processing or assembly. WIP is not relevant for RCCP, as RCCP focuses on the future demand and capacity, not the current inventory status.

Resource requirements plan is not a form of data that is required for RCCP. Resource requirements plan is the output of RCCP, not the input. Resource requirements plan is a report that shows the projected load and capacity of each critical resource over a planning horizon. Resource requirements plan can help to identify any gaps or surpluses in capacity and to take corrective actions.

Work center queues are not a form of data that is required for RCCP. Work center queues are the waiting lines of jobs or orders at a work center. Work center queues are an indicator of short-term capacity issues, such as delays, backlogs, or congestion. Work center queues are not relevant for RCCP, as RCCP focuses on the long-term capacity planning, not the short-term scheduling.