Explanation: The cumulative available-to-promise (ATP) method is based on an assumption that available inventory in a period can be committed to demand in that period and any future period in the planning horizon. The planning horizon is the time span for which plans are made and executed1. The cumulative ATP is a running total of the ATP figure in the master schedule, which shows the planned production or purchase of a product over a series of time periods2. The cumulative ATP method allows the company to account for future shortages and build up inventory for large or seasonal orders3. The other options are not correct. The demand time fence (DTF) is a point in the near future, usually equal to the cumulative lead time, beyond which changes to the master schedule are not allowed4. The cumulative ATP method does not depend on the DTF, as it considers all future periods in the planning horizon, regardless of whether they are inside or outside the DTF. Future periods with a planned receipt are periods where there is an expected supply of inventory from production or purchase orders2. The cumulative ATP method does not only commit inventory to these periods, but also to any other periods where there is demand.

References : Available-to-Promise (ATP) - Tutorial; Planning Horizon Definition; Demand Time Fence (DTF) Definition; Cumulative Available-to-Promise | Cargoz.

Explanation: 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.

Explanation: An effective process to create meaningful change begins with identifying and discussing a past crisis, a potential crisis, or major opportunities. This step is important because it helps to create a sense of urgency and motivation for the change, as well as to clarify the vision and goals of the change1. A past crisis can be used as a learning opportunity to analyze what went wrong and how to prevent it from happening again. A potential crisis can be used as a warning signal to anticipate and prepare for the possible challenges and risks. A major opportunity can be used as a catalyst to seize the competitive advantage and create value for the organization and its stakeholders2.
The other options are not the best ways to start an effective process to create meaningful change. Reviewing financial outcomes and metrics over the last 4 quarters year-over-year may provide some insights into the performance and profitability of the organization, but it may not reveal the underlying causes or drivers of the change, or the future trends and scenarios that may affect the organization3. Refreshing corporate strategy to align with current marketplace realities for your industry may be a necessary step in the change process, but it may not be sufficient to generate buy-in and commitment from the people who are involved in or affected by the change4. Using consultants to provide in-depth analysis of current management opportunities may be a helpful way to obtain external perspectives and expertise, but it may not ensure that the change is aligned with the organization’s culture, values, and capabilities5.

References : How To Create A Sense Of Urgency For Change; How To Use Crisis As A Catalyst For Change; Why Financial Metrics Alone Won’t Drive Change; How To Align Your Strategy With Your Organization’s Culture; How To Choose The Right Consultant For Your Change Project.

Explanation: The output of the equipment on Day 6 can be calculated by multiplying the demonstrated capacity, the utilization, and the efficiency. The demonstrated capacity is given as $1,200 per day. The utilization is the ratio of the actual time that the equipment is used to the available time that it could be used. Since the utilization is reduced by 25% on Day 6, it means that the equipment is used for 75% of the available time. Therefore, the utilization is 0.75. The efficiency is the ratio of the actual output to the standard output. It is given as 110%, which means that the equipment produces 10% more than the standard output. Therefore, the efficiency is 1.1. The output on Day 6 can be found by multiplying these three factors:

Output = Demonstrated capacity x Utilization x Efficiency Output = $1,200 x 0.75 x 1.1 Output = $990
Therefore, the output on Day 6 is $990. References: CPIM Part 2 Exam Content Manual, Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section A: Detailed Capacity Planning and Scheduling, Subsection 2: Capacity Management Concepts and Calculations, p. 37-38.

Explanation: Replenishment lead time is the time between placing an order and receiving the goods1. Reducing replenishment lead time will result in lower inventory levels, as it will allow the company to order less frequently and in smaller quantities, while still meeting customer demand. This will reduce the safety stock, cycle stock, and pipeline stock that the company needs to hold, and thus lower the inventory carrying costs and risks.
The other options will not result in lower inventory levels. Level loading the MPS means producing at a constant rate regardless of demand fluctuations2. This will result in higher inventory levels, as the company will need to build up inventory during periods of low demand and draw down inventory during periods of high demand. Increasing customer service level means improving the ability to meet customer expectations and requirements3. This will also result in higher inventory levels, as the company will need to hold more safety stock to avoid stockouts and ensure high fill rates. Decentralizing inventory locations means distributing inventory across multiple warehouses or facilities4. This will also result in higher inventory levels, as the company will need to maintain more safety stock at each location to account for demand variability and uncertainty.

References : What is Replenishment Lead Time?; Level Loading Definition; Customer Service Level; Centralized vs Decentralized Inventory Management.

Explanation: Point-of-use storage is a stock location system that places inventory close to where it is needed in the production process, reducing transportation and handling costs and improving efficiency. It is often used in repetitive manufacturing, lean environment, where the demand is stable and predictable, and the inventory is replenished frequently. Fixed location and central storage are stock location systems that store inventory in a designated area, which may require more space and movement. Floating location is a stock location system that assigns inventory to any available space, which may cause confusion and inefficiency.

References: CPIM Exam Content Manual Version 7.0, Domain 5: Plan and Manage Inventory, Section 5.2: Inventory Management Methods, p. 32.

Explanation: A buffer in the theory of constraints (TOC) is a level of inventory that is placed before the governing constraint or the bottleneck to prevent it from being starved or idle. Buffers are used to immunize the system’s performance from variability in demand or production. Buffers are part of the drum buffer rope method of scheduling and managing operations that have constraints. The purpose of a buffer in TOC is to prevent unplanned idleness of the resource, which is the most important factor that determines the throughput of the system. Throughput is the rate at which the system generates money through sales.
If the resource is idle, then the system loses potential throughput and profit. Therefore, buffers are designed to ensure that there is always enough work available for theresource to process, regardless of any fluctuations or disruptions in the upstream or downstream processes.

References: Theory of constraints - Wikipedia; Drum Buffer Rope and Theory of Constraints - opexlearning.com.

Explanation: Up-to-date information about production order status is required to calculate the cost of work in process (WIP). WIP is the inventory of unfinished goods or partially completed products that are still in the production process1. The cost of WIP is the sum of the costs of the materials, labor, and overhead that have been incurred in the production process but have not yet been transferred to the finished goods inventory2. To calculate the cost of WIP, we need to know how much of each production order has been completed and how much remains to be done. This information can be obtained from the production order status, which is a report that shows the current status of each production order in terms of its quantity, start date, end date, completion percentage, and variance3. By using the production order status, we can determine the amount of WIP for each production order and for the entire production process. This can help us monitor and control the production efficiency, profitability, and quality4.

References: 1: Work In Progress (WIP) Definition 2 2: Work-in-Process (WIP) Accounting 3 3: Production Order Status Report 5 4: How to Calculate Work in Process Inventory 6

Explanation: 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.

Explanation: 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 overforecasting,
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 thedirection 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.

References := Forecast KPI: RMSE, MAE, MAPE & Bias | Towards Data Science, A Critical Look at Measuring and Calculating Forecast Bias – Demand Planning, Forecast bias - Wikipedia

Explanation: Reducing distribution network inventory days of supply will have the impact of increasing turnovers and reducing cash-to-cash cycle time. Distribution network inventory days of supply is a measure of how long it takes for a company to sell its entire inventory in its distribution network, which includes the warehouses and transportation systems that deliver the products to the customers1. It is calculated by dividing the average inventory by the cost of sales per day1. A lower distribution network inventory days of supply indicates that the company is selling its inventory faster and more efficiently, while a higher distribution network inventory days of supply indicates that the company is holding too much inventory or having difficulty selling its products.
Turnovers, also known as inventory turnover or stock turnover, is a measure of how many times a company sells and replaces its inventory in a given period. It is calculated by dividing the cost of goods sold by the average inventory2. A higher turnover indicates that the company is selling its inventory quickly and efficiently, while a lower turnover indicates that the company is holding too much inventory or having difficulty selling its products. Cash-to-cash cycle time, also known as cash conversion cycle or net operating cycle, is a measure of how long it takes for a company to convert its cash outflows into cash inflows. It is calculated by adding the days sales outstanding (DSO), which is the average time it takes for customers to pay for their purchases, and the distribution network inventory days of supply, and subtracting the days payable outstanding (DPO), which is the average time it takes for the company to pay its suppliers3. A shorter cash-to-cash cycle time indicates that the company is managing its cash flow more effectively, while a longer cash-to-cash cycle time indicates that the company is tying up more cash in its operations.
Therefore, reducing distribution network inventory days of supply will have the impact of increasing turnovers and reducing cash-to-cash cycle time, as it will decrease the average inventory level, increase the cost of sales per day, and decrease the distribution network inventory days of supply component in the cash-to-cash cycle time formula. This will improve the efficiency and profitability of the company’s operations and reduce its working capital needs.

References : Inventory Days Of Supply | Supply Chain KPI Library | Profit.co; Inventory Turnover Ratio | Formula | Calculator (Updated 2021); Cash Conversion Cycle - CCC.

Explanation: 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.