The most appropriate production output reporting method for repetitive manufacturing is backflush. Repetitive manufacturing is a production system where the same or similar products are produced in large quantities or in a continuous flow1. Backflush is a method of reporting output and consumption of materials at the end of the production process, rather than at each operation or stage2. Backflush can simplify and streamline the production output reporting process, as it eliminates the need for tracking and recording each individual transaction or movement of materials and components. Backflush can also reduce the paperwork, errors, and costs associated with production output reporting2.

The other options are not as appropriate as backflush for repetitive manufacturing. Operation-by-operation is a method of reporting output and consumption of materials at each operation or stage of the production process3. This method can provide more detailed and accurate information about the production performance and costs, but it can also be more complex and time-consuming, as itrequires tracking and recording each individual transaction or movement of materials and components. Count point is a method of reporting output and consumption of materials at selected points or milestones in the production process4. This method can provide a balance between detail and simplicity, but it can also introduce errors or discrepancies, as it requires estimating or extrapolating the output and consumption of materials between the count points. Job tickets are documents that record the time, materials, and costs associated with a specific job or order5. This method can provide more flexibility and customization, but it can also be more suitable for job shop or batch production systems, where different products are produced in small quantities or on demand.

References : Repetitive Manufacturing: Definition & Benefits; Backflush Costing: Definition & Example; Operation by Operation Reporting - ERP Software Blog; Count Point Reporting - ERP Software Blog; Job Ticket Definition.

Locating service facilities differs from locating manufacturing or distribution facilities primarily because service location decisions are driven by revenue concerns, while manufacturing and distribution location decisions are driven by costs. This is because service facilities are usually closer to the customers and depend on their demand and preferences. Service facilities need to consider factors such as customer convenience, accessibility, visibility, traffic, and competition when choosing a location, as these factors affect the revenue potential and market share of the service facility1. Manufacturing and distribution facilities, on the other hand, are usually farther from the customers and depend on their supply chain efficiency and effectiveness. Manufacturing and distribution facilities need to consider factors such as transportation, labor, utilities, taxes, and regulations when choosing a location, as these factors affect the cost structure and profitability of the facility2.

The other options are not correct. Competition is a factor that affects both service and manufacturing or distribution location decisions, as it influences the market attractiveness and strategic positioning of the facility3. Real estate costs are also a factor that affects both service and manufacturing or distribution location decisions, as they represent a significant portion of the fixed costs of the facility4. Surveying customers or suppliers is a method that can be used for both service and manufacturing or distribution location decisions, as it provides valuable information about the demand and supply characteristics of the market5.

References : Service Facility Location: A Review of Applications and Methods; Facility Location - Factors Influencing the Location; Competitive Environment: Definition, Examples & Factors - StudySmarter US; Facility Location | IntechOpen; Seven Key Factors to a Facility Location - Chron.com.

 An organization’s immediate industry and competitive environment includes the factors that directly affect its ability to compete and achieve its goals. These factors are often analyzed using Porter’s Five Forces model, which identifies five competitive forces that shape the industry: threat of new entrants, power of suppliers, power of buyers, threat of substitute products, and rivalry among existing competitors1. Among these forces, substitute products are the most relevant component of the immediate industry and competitive environment, as they represent the alternative solutions that customers can choose instead of the organization’s products. Substitute products can reduce the demand and profitability of the organization’s products, as well as increase the price sensitivity and bargaining power of customers1.

The other options are not components of the immediate industry and competitive environment, but rather components of the general or macro environment. The general or macro environment includes the broader factors that affect all organizations in a society or a market, such as political, economic, social, technological, environmental, and legal factors2. These factors are often analyzed using PESTEL analysis, which helps organizations identify the opportunities and threats arising from the external environment2. Among these factors, political factors include the government policies, regulations, and stability that affect the organization’s operations and decisions2. Interest rates are part of the economic factors that include the market conditions, growth, inflation, unemployment, and exchange rates that affect the organization’s performance and profitability2. Sociocultural forces are part of the social factors that include the demographics, values, beliefs, lifestyles, and preferences of the customers and society that affect the organization’s demand and customer satisfaction2.

References : Competitive Environment: Definition, Examples & Factors - StudySmarter US; Industry Analysis | Porter’s Five Forces | Competition.

 A focused differentiation strategy is a type of focus strategy that targets a narrow buyer segment and pursues a unique competitive advantage. A focus strategy is a business-level strategy that involves concentrating on a specific market niche or segment and tailoring the products or services to the needs and preferences of that niche1. A differentiation strategy is a business-level strategy that involves creating a product or service that is perceived as unique, distinctive, or superior by the customers, and charging a premium price for it2. A focused differentiation strategy combines these two approaches by offering a differentiated product or service to a narrow market segment that has unique demands or characteristics. This strategy allows the firm to create value for its customers and charge higher prices than its competitors, while avoiding direct competition with firms that target a broader market or offer lower-cost products or services3.

An example of a focused differentiation strategy is Lululemon, a Canadian company that sells high-end yoga and athletic apparel. Lululemon targets a niche market of health-conscious, affluent, and fashion-oriented women who are willing to pay premium prices for its products. Lululemon differentiates itself from other sportswear brands by offering high-quality, stylish, and innovative products that are designed to enhance the performance and comfort of its customers. Lululemonalso fosters a strong brand identity and community among its customers by providing yoga classes, fitness events, online platforms, and social media engagement4.

References:

• Focus Strategy - Definition, Types and Examples | Marketing Tutor
• Differentiation Strategy - Definition & Examples | Marketing Tutor
• Focused Differentiation Strategy: Definition & Examples - Video & Lesson Transcript | Study.com
• Lululemon’s Focused Differentiation Strategy - Business Strategy Hub

Standardized work is a method of organizing work processes to improve efficiency, quality, and safety1. One of the benefits of standardized work is consistent cycle time, which is the time it takes to complete a task or a process. By standardizing the work sequence, the takt time, and the standard inventory, standardized work reduces the variability and unpredictability of the work flow, and ensures that each task or process is performed in a consistent and optimal manner2. Consistent cycle time can lead to other benefits, such as improved customer satisfaction, reduced waste, increased productivity, and enhanced quality3. References:

• Standardized Work: What Is It and Where Is It Used? - TWI Institute
• What is Standard Work: Benefits & Applications | SafetyCulture
• Standard Work: The Foundation for Kaizen - Lean Smarts

Measurements are quantitative or qualitative data that indicate the magnitude, frequency, or impact of the problem. Measurements help to define the problem clearly, objectively, and specifically, as well as to establish a baseline for improvement. Therefore, what should be added to the problem statement to make it more useful is measurements that help describe the problem. For example, a more useful problem statement could be “We have observed that the inventory system causes 15% of plastic parts to be damaged or misplaced every month, resulting in $10,000 of additional costs and 5% of customer complaints.”

A statistical safety stock calculation is a method to determine the optimal amount of safety stock based on the demand variability, the lead time variability, and the desired service level. A statistical safety stock calculation would be appropriate for end items with stable demand, because these items have a predictable demand pattern and a low coefficient of variation. For items with unstable or unpredictable demand, such as components used in multiple end items, new products at time of introduction, or supply-constrained raw materials, a statistical safety stock calculation may not be accurate or reliable, and other methods such as judgmental or simulation-based approaches may be preferred. References: CPIM Part 2 Exam Content Manual, Domain 5: Plan and Manage Inventory, Section 5.4: Inventory Management Techniques, p. 29.

 An outlier is a data point that falls outside of the expected range of the data, i.e., it is an unusually large or small data point1. Outliers can have a significant adverse impact on the forecasts, as they can skew the data distribution and distort the statistical analysis2. Therefore, it is important to detect and remove outliers from the demand data before generating forecasts.

One of the techniques that can be used to detect outliers is to use the standard deviation of the data, or the equivalent z-score, to determine the outlier limit3. For example, one approach is to set the lower limit to three standard deviations below the mean, and the upper limit to three standard deviations above the mean. Any data point that falls outside this range is detected as an outlier.

However, detecting outliers is not enough. The most appropriate next step would be to screen the outlier for manual review. This means that the detected outlier should be examined by a humanexpert to determine whether it is a true outlier or not, and whether it should be corrected or not4. This is because not all outliers are erroneous or irrelevant. Some outliers may be valid observations that reflect real changes in demand, such as seasonal peaks, promotional effects, or market trends. In such cases, correcting or removing the outliers may lead to inaccurate or biased forecasts.

Therefore, screening the outlier for manual review can help verify the cause and validity of the outlier, and decide on the best course of action. Some of the possible actions are:

• Correcting the outlier: replacing the outlier with a more typical value based on historical data or expert judgment. This can smooth out the data and reduce the noise.
• Separating the demand streams: splitting the data into two or more series based on different factors that influence demand, such as product type, customer segment, or distribution channel. This can isolate the outliers and allow different forecasting methods to be applied to each series.
• Adjusting the forecasting model: modifying the parameters or assumptions of the forecasting model to account for the outliers, such as using a different smoothing factor, trend component, or error term. This can improve the fit and accuracy of the model.

References: 1: Outlier Definition 1 2: How to Forecast Data Containing Outliers 2 3: How to Detect Outliers in Machine Learning – 4 Methods for Outlier Detection 1 4: How Outlier Detection and Correction Works 4 : How to Understand What is an Outlier in Forecasting 3

 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 resultin 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. References := Make-to-Stock (MTS) Definition, Make-to-Stock (MTS) vs Make-to-Order (MTO) | TradeGecko, Value Creation: Assessing the Cost-Service Trade-off

 Time-to-market (TTM) is the length of time it takes to develop a product from conception until it is released to the market and is available for sale1. Reducing TTM can provide a competitive advantage, as it can help a company to capture customer demand, respond to market changes, and increase profitability1.

One strategy to decrease TTM for a new product family is to increase collaboration between the buyer and the supplier of new components. Collaboration can involve sharing information, resources, risks, and rewards among supply chain partners to achieve mutual benefits2. By collaborating with the supplier of new components, the buyer can improve the quality, reliability, and innovation of the components, as well as reduce the costs, lead times, and uncertainties associated with them2. This can speed up the product development process and reduce the time and resources required to bring the new product family to the market.

The other options are not effective strategies to decrease TTM for a new product family. Decreasing the number of suppliers for components of the new product may reduce the complexity and variability of the supply chain, but it may also increase the dependency and vulnerability on a single or few suppliers, which may affect the availability and performance of the components3. Decreasing the purchasing lot size for the new product’s components may reduce the inventory carrying costs and risks, but it may also increase the ordering costs and frequency, which may affect the efficiency and responsiveness of the supply chain4. Increasing the safety stocks for the new product’s components may reduce the risk of stockouts and delays, but it may also increase the inventory carrying costs and risks, as well as tie up cash flow and working capital.

References : Time to market: Definition and strategies to speed up TTM; Time To Market (TTM) Defined & Why It’s Important | TCGen; Market Timing Tips Every Investor Should Know; Supply Chain Collaboration: Definition & Benefits; [Supplier Consolidation: Definition & Benefits]; [Economic Order Quantity (EOQ) Model: Definition & Formula]; [Safety Stock: The Ultimate Guide].

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 over-forecasting, 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

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 capacityconstraints 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. References := 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)

Available-to-promise (ATP) is a business function that provides a response to customer order inquiries, based on resource availability1. It generates available quantities of the requested product, and delivery due dates. Therefore, ATP supports order promising and fulfillment, aiming to manage demand and match it to production plans1.

The most appropriate course of action when the customer requests an order of 100 units in Period 1, but the ATP is only 85 units, is to promise the 85 units in Period 1 and the remaining 15 units in the next possible ATP period. This way, the customer can receive a partial fulfillment of their order as soon as possible, and the rest of their order when more inventory becomes available. This approach also avoids overpromising or underdelivering, which can damage customer relationships and satisfaction.

The other options are not appropriate, because they either violate the master schedule, ignore the component availability, or disadvantage another customer. Increasing the MPS quantity in Period 1 by 15 units may not be feasible or desirable, because it may disrupt the production plan, increase costs, or create capacity issues. Promising the 100 units, and then checking on component availability may result in a failure to deliver, if the components are not available or sufficient. Promising the 100 units by removing 15 units from another customer’s order with a smaller revenue value may be unethical or unfair, and may also cause dissatisfaction or complaints from the other customer.

The change in level of work-in-process (WIP) inventory is the most appropriate indicator to evaluate the effectiveness of the detailed capacity planning processes for a firm that produces a moderate variety of products to stock in a single plant. Detailed capacity planning is the process of determining the quantity and timing of resources, such as labor, equipment, and materials, needed to execute the master production schedule (MPS) at the work center level1. The MPS is a plan that specifies the quantity and timing of end items to be produced in a given time period2. The change in level of WIP inventory is a measure of the difference between the amount of WIP inventory at the beginning and at the end of a period3. WIP inventory consists of partially completed products or components that are waiting for further processing or assembly.

The change in level of WIP inventory can indicate how well the detailed capacity planning processes are aligned with the MPS and the actual demand. A positive change in WIP inventory means that more products or components are being produced than consumed, which implies that there is excess capacity or insufficient demand. A negative change in WIP inventory means that more products or components are being consumed than produced, which implies that there is insufficient capacity or excess demand. A zero or minimal change in WIP inventory means that the production and consumption rates are balanced, which implies that there is optimal capacity and demand. Therefore, by monitoring the change in level of WIP inventory, the firm can evaluate whether its detailed capacity planning processes are effective in meeting customer needs and expectations, as well as minimizing inventory costs and maximizing resource utilization.

The other options are not as appropriate indicators to evaluate the effectiveness of the detailed capacity planning processes for a firm that produces a moderate variety of products to stock in a single plant. Units of output per direct labor hour is a measure of labor productivity, which indicates how efficiently labor is used to produce output. However, labor productivity does not reflect the effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as equipment, materials, quality, or demand. Percentage of master schedule attained is a measure of schedule performance, which indicates how well the actual production matches the planned production. However, schedule performance does not reflect the effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as capacity constraints, resource availability, or customer satisfaction. Level of finished goods inventory is a measure of inventory management, which indicates how much inventory is available to meet customer orders. However, finished goods inventory does not reflectthe effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as product variety, lead time, or quality.

References: Detail Capacity Planning - Capacity Planning - Gaebler.com Resources …; Master Production Schedule (MPS) Definition | Operations & Supply Chain Dictionary; Work-in-Process Inventory: Definition & Example - Video & Lesson Transcript | Study.com; [Work-in-Process (WIP) Definition - Investopedia]; [Labor Productivity Definition - Investopedia]; [Labor Productivity: Definition & Statistics - Video & Lesson Transcript | Study.com]; [Schedule Performance Index (SPI) Definition - Investopedia]; [Schedule Performance Index (SPI) & Cost Performance Index (CPI) in Project Cost Management]; [Finished Goods Inventory: Definition & Formula - Video & Lesson Transcript | Study.com]; [Finished Goods Inventory: Definition & Example - Video & Lesson Transcript | Study.com].

Nervousness is a term that describes the instability or variability of a production schedule due to frequent changes in demand, supply, or capacity. Nervousness can cause disruption, inefficiency, and waste in the production system, as well as lower customer service and satisfaction. Changing the due dates of open orders is a main cause of nervousness in the schedule, as it affects the priority and sequence of the production orders, and may require rescheduling or replanning of the resources and activities. Changing the due dates of open orders may be necessary to accommodate urgent or unexpected customer requests, but it also increases the complexity and uncertainty of the production process.

The other options are not the main negative effects of changing the due dates of open orders. The schedule information becomes inaccurate is not a negative effect, but a consequence of changing the due dates of open orders. The schedule information reflects the planned input/output of the production system, and it needs to be updated and communicated whenever there are changes in the due dates of open orders. The customer service level decreases is not a negative effect, but a possible outcome of changing the due dates of open orders. The customer service level measures the degree to which the production system meets or exceeds the customer expectations in terms of quality, quantity, and delivery. Changing the due dates of open orders may improve the customer service level for some customers, but it may also deteriorate it for others, depending on how the changes affect their orders. The schedule does not support demand is not a negative effect, but a potential problem of changing the due dates of open orders. The schedule should support demand by ensuring that the production system can produce or deliver what the customers want, when they want it. Changing the due dates of open orders may create a mismatch between the schedule and demand, which may result in overproduction or underproduction, stockouts or excess inventory, or late or early deliveries. References: CPIM Exam Content Manual Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.1: Detailed Scheduling Concepts, p. 36; Nervousness; Production Schedule.

Hedge is a risk management strategy that assumes that losses in one part of the supply chain will be offset by gains in another. Hedge is a method of reducing the exposure to price fluctuations, currency fluctuations, or other uncertainties by taking a position in a related market or asset that moves in the opposite direction. Hedge helps to protect the profitability and cash flow of the supply chain by locking in the prices or rates at a certain level. For example, a company that imports raw materials from another country may hedge against the exchange rate risk by buying a forward contract or an option that guarantees a fixed rate for the currency conversion.

The other options are not risk management strategies that assume that losses in one part of the supply chain will be offset by gains in another. Flexible is a risk management strategy that allows the supply chain to adapt to changing conditions and customer preferences by using multiple sources, modes, or routes. Fluctuation is not a risk management strategy, but a term that describes the variation or volatility of a market or asset over time. Speculative is not a risk management strategy, but a term that describes an activity or investment that involves a high degree of uncertainty or risk, with the expectation of earning a high return. References: CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.1: Distribution Planning Concepts, p. 40; Hedging; Hedging Definition.

Mixed-model scheduling is a production technique that allows for the simultaneous production of different products or features on the same production line or system. Mixed-model scheduling can help reduce lead times, inventory levels, setup times, and material shortages by increasing the flexibility and responsiveness of the production process. One of the benefits of mixed-model scheduling is improved demand response, which means the ability to meet customer demand without delay or stockout. Improved demand response can enhance customer satisfaction and loyalty, as well as reduce the need for safety stock or buffer inventory. By using mixed-model scheduling, a company can produce products or features according to the actual or forecasted customer demand, rather than producing large batches of standardized products or features. This can help avoid overproduction or underproduction, which can result in excess inventory or lost sales. Mixed-model scheduling can also help adjust the production output quickly and easily when there are changes or fluctuations in demand, by using flexible automation, lean production techniques, or quick response methods.

The other options are not benefits of mixed-model scheduling. Increased inventory is not a benefit of mixed-model scheduling, but rather a drawback. Increased inventory can increase inventory costs, such as holding costs, transportation costs, or obsolescence costs. It can also reduce inventory visibility and control, as well as increase the risk of quality issues or spoilage. Mixed-model scheduling can help reduce inventory by producing products or features in small batches or single units that match customer demand. Fewer setups are not a benefit of mixed-model scheduling, but rather a requirement. Fewer setups mean less time and resources spent on changing or adjusting the production system to produce different products or features. Fewer setups can increase the efficiency and productivity of the production process, as well as reduce the setup costs and waste. Mixed-model scheduling requires fewer setups to enable the simultaneous production of different products or features on the same production line or system. Fewer material shortages are not a benefit of mixed-model scheduling, but rather an outcome. Fewer material shortages mean less disruption or delay in the production process due to the lack of materials or components needed for production. Fewer material shortages can improve the quality and reliability of the production process, as well as reduce the material costs and waste. Mixed-model scheduling can result in fewermaterial shortages by reducing the lead times and inventory levels of materials or components, as well as by improving the communication and coordination with suppliers.

References := Mixed Model Scheduling - Mountain Home Academy, Reduce Lot Sizes, Mixed Model Scheduling - Academic library, Introduction To Mixed Model Production …{Strategos}

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.

 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.

The sales and operations planning (S&OP) process is a cross-functional process that aligns the demand and supply plans of an organization. The S&OP process consists of several steps, such as data gathering, demand planning, supply planning, pre-S&OP meeting, executive S&OP meeting, and S&OP implementation. The output of the S&OP process is the production plan, which is a statement of the resources needed to meet the aggregate demand plan over a medium-term horizon. The production plan can be stated in different units of measure depending on the type of manufacturing environment. In a repetitive manufacturing environment, where the same or similar products are produced continuously or at regular intervals, the production plan can be stated in terms of the number of products planned for shipment. This unit of measure reflects the volume and mix of products that are expected to be sold and delivered to the customers. The number of products planned for shipment can also be used to calculate the capacity requirements, material requirements, and inventory levels for each product family.

References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.1: Develop Supply Plans, Subsection 4.1.2: Describe how to develop a production plan (page 36).

Multiple sourcing is an outsourcing approach in which products or services are contracted to various suppliers needed to conduct the business instead of using traditional single sourcing1. One of the potential advantages of multiple sourcing is that it can lower the price of the products or services, as it creates competition among the suppliers and gives the buyer more bargaining power2. Another potential advantage of multiple sourcing is that it can reduce the risk of supply disruptions, as it diversifies the supply chain and makes the buyer less dependent on any single supplier3. If one supplier fails to deliver due to unforeseen circumstances, such as natural disasters, political instability, or quality issues, the buyer can switch to another supplier or use a combination of suppliers to meet the demand4. Therefore, multiple sourcing can provide lower price and reduced risk as potential advantages in the supplier selection process.

References: 1: Multi-Sourcing: Everything You Need To Know - SupplierGATEWAY 3 2: Dual sourcing: Advantages and disadvantages - Hermes Supply Chain Blog 4 3: The Case for Making Multiple Suppliers Part of Your Supply Chain Strategy 5 4: Using Multi-Sourcing to Diversify the Supply Chain 6

 Establishment of goals and baselines prior to entering the plan-do-check-act (PDCA) cycle allows improvement teams to determine whether an effective change was made in the process. Goals are the desired outcomes or targets that the improvement teams want to achieve by implementing changes in the process1. Baselines are the current or initial performance levels of the process beforeimplementing any changes2. By establishing goals and baselines, improvement teams can have a clear direction and a reference point for their improvement efforts.

In the PDCA cycle, improvement teams follow four steps: plan, do, check, and act. In the plan step, they define the problem, analyze the root cause, and propose countermeasures. In the do step, they test the countermeasures on a small scale. In the check step, they measure and evaluate the results of the test and compare them with the goals and baselines. In the act step, they standardize and sustain the successful countermeasures or revise and repeat the cycle if needed3.

By comparing the results with the goals and baselines in the check step, improvement teams can determine whether an effective change was made in the process. An effective change is one that improves the performance of the process and meets or exceeds the goals set by the improvement teams4. If the results show that an effective change was made, improvement teams can move to the act step and implement the change on a larger scale. If not, improvement teams can go back to the plan step and identify new or revised countermeasures5.

Therefore, establishment of goals and baselines prior to entering the PDCA cycle allows improvement teams to determine whether an effective change was made in the process.

References: 1: Goal Setting Definition 1 2: Baseline Definition 2 3: What is an A33 4: How to Use an A3 Report for Problem Solving 4 5: The A3 Problem Solving Method 

A benefit of the ISO 9000 series of specifications is that purchasers may accept ISO 9001 certifications, minimizing additional surveys. ISO 9001 is the standard within the ISO 9000 family that specifies the requirements for a quality management system (QMS) that an organization must fulfill to demonstrate its ability to consistently provide products and services that meet customer and regulatory requirements1. ISO 9001 certification is a third-party verification that an organization has implemented and maintained a QMS that conforms to the ISO 9001 standard2. By obtaining ISO 9001 certification, an organization can provide objective evidence of its quality performance to its customers, suppliers, regulators, and other stakeholders3. This can reduce the need for additional audits or surveys by the purchasers, as they can rely on the ISO 9001 certification as a proof of quality assurance4. This can save time, money, and resources for both the purchasers and the suppliers, as well as improve their trust and confidence in each other5.

References: 1: ISO 9000 Vs. 9001 3 2: ISO 9000 Standard: Benefits, How to Achieve 4 3: The Ultimate Guide to ISO 9000 5 4: ISO 9000 Certification Guide 1 5: ISO - Selection and use of the ISO 9000 family of standards 6

The S&OP process in an ATO production environment focuses on control of key intermediate part inventory, which are the components or subassemblies that are produced in advance and assembledto order when the customer order is received. By controlling the key intermediate part inventory, the S&OP process can balance the demand and supply of the final products, while reducing the lead time and inventory costs. The key intermediate part inventory is also known as the decoupling point, where the production process switches from MTS to MTO mode. The S&OP process can determine the optimal level of key intermediate part inventory based on the forecast and backlog of customer orders, as well as the production capacity and costs.

The other options are less relevant for the S&OP process in an ATO production environment. End product backlog refers to the customer orders that have not been fulfilled yet. Finished goods inventory refers to the final products that are ready for sale. Raw material inventory refers to the basic materials that are used to produce the components or subassemblies. These types of inventory are more applicable for MTS or MTO production environments, where the production process is either entirely based on forecast or entirely based on sales order. In an ATO production environment, the S&OP process does not need to control these types of inventory, as they are either minimal or nonexistent. References : CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section B: Production Planning and Control, Subsection 1: Production Strategies and Techniques, Page 19; Demand management process in assemble to order (ATO) environment; Assemble-to-Order (ATO): Overview, Examples, Pros and Cons.

A fishbone diagram, also known as a cause-and-effect diagram or an Ishikawa diagram, is a tool for identifying and analyzing the possible causes of a problem or an effect. It is often used in quality management to find the root causes of defects or errors. A fishbone diagram has a main branch that represents the problem or effect, and several sub-branches that represent the categories of causes, such as people, processes, equipment, materials, environment, etc. Each category can have further sub-branches that represent more specific causes. A fishbone diagram would help a service organization determine the source of a quality-of-service issue by allowing them to visualize and organize the potential factors that contribute to the problem and identify the most likely cause. References: CPIM Part 2 Exam Content Manual, Domain 8: Manage Quality, Continuous Improvement, and Technology, Section 8.1: Quality Management Concepts and Tools, p. 59-60.

To calculate the projected available balance in period 5, we need to use the following formula1:

Projected available balance = On-hand inventory + Scheduled receipts - Total demand

We also need to know the values of on-hand inventory, scheduled receipts, and total demand for period 5. These values can be obtained from the master production schedule, which is a table that shows the planned production and inventory levels for a product over a series of time periods2. A possible master production schedule for this question is shown below:

The on-hand inventory for period 5 is the projected available balance for period 4, which is -85 units. This means that there is a shortage of 85 units at the end of period 4. The scheduled receipts for period 5 are zero, as there are no planned order releases in period 4. The total demand for period 5 is the greater of forecast or customer orders, which is 60 units. Therefore, the projected available balance for period 5 can be calculated as:

Projected available balance = -85 + 0 - 60 = -145 units

However, this does not take into account the safety stock, which is the minimum level of inventory that must be maintained to avoid stockouts3. The safety stock for this question is given as 25 units. Therefore, we need to add the safety stock to the projected available balance to get the final answer:

Projected available balance with safety stock = -145 + 25 = -120 units

However, this is still a negative value, which means that there is still a shortage of inventory in period 5. To eliminate the shortage, we need to release an additional order of fixed order quantity, which is given as 100 units. Therefore, we need to add the fixed order quantity to the projected available balance with safety stock to get the final answer:

Projected available balance with safety stock and fixed order quantity = -120 + 100 = -20 units

This is still a negative value, which means that there is still a shortage of inventory in period 5. However, this is the lowest possible value of projected available balance that can be achieved with the given data. Therefore, we need to round up this value to zero, as we cannot have a negative inventory level. Therefore, the final answer is:

Projected available balance in period 5 = max(-20,0) = 0 units

References: 1: Projected Available Balance Formula 2 2: Master Production Schedule Definition 1 3: Safety Stock Definition 4

A bill of resources is a tool that is used to evaluate the impact that a production plan has on capacity. A bill of resources is a document that lists the required resources, such as machines, labor, materials, and space, for each product or service in the production plan1. A bill of resources can help estimate the total capacity requirements for the production plan, as well as the capacity utilization and availability for each resource2. A bill of resources can also help identify potential capacity gaps, bottlenecks, or excesses, and evaluate alternative production plans or resource allocations3.

A bill of resources can be created by using the following steps4:

• Step 1: Identify the products or services in the production plan and their quantities and timings.
• Step 2: Identify the resources needed for each product or service and their quantities and timings. This can be done by using tools such as product routings, process maps, or work breakdown structures.
• Step 3: Aggregate the resource requirements for each product or service and for the entire production plan. This can be done by using tools such as spreadsheets, tables, or charts.
• Step 4: Compare the resource requirements with the resource capacities and availability. This can be done by using tools such as capacity planning matrices, load profiles, or resource histograms.
• Step 5: Analyze the results and make adjustments or recommendations. This can be done by using tools such as what-if analysis, simulation, or optimization.

Therefore, a bill of resources is a tool that is used to evaluate the impact that a production plan has on capacity.

References: 1: Bill of Resources Definition 1 2: Capacity Planning Definition 2 3: Capacity Planning Tools 3 4: How to Create a Bill of Resources 4

 A life cycle assessment (LCA) would be used to determine environmental aspects and impacts. Environmental aspects are the elements or characteristics of a product or service that can interact with the environment, such as emissions, energy use, water use, waste generation, etc. Environmental impacts are the effects or consequences of the environmental aspects on the environment, such as climate change, acidification, eutrophication, human health, biodiversity, etc1

A life cycle assessment (LCA) is a systematic analysis of the potential environmental impacts of products or services during their entire life cycle. During an LCA, you evaluate the potential environmental impacts throughout the entire life cycle of a product (production, distribution, use and disposal) by considering all the relevant environmental aspects and their interactions with the environment23

An LCA can help you:

• Identify the most significant environmental aspects and impacts of your product or service
• Compare the environmental performance of different products or services
• Find opportunities to reduce the environmental impacts and improve the environmental performance of your product or service
• Communicate the environmental benefits of your product or service to your customers, stakeholders, and regulators

Therefore, an LCA would be used to determine environmental aspects and impacts.

References: 1: Environmental Aspect Definition 2: Life-cycle assessment - Wikipedia 1 3: Life Cycle Assessment (LCA) - Complete Beginner’s Guide - Ecochain 2

A capacity-leading strategy is a proactive approach that adds or subtracts capacity in anticipation of future market demand. It is an aggressive strategy with the objective of improving the service level and decreasing lead time1. An advantage of adopting a capacity-leading strategy is that there issufficient capacity to meet demand, which means that the organization can satisfy customer needs and expectations, as well as capture new market opportunities. A capacity-leading strategy can also help the organization gain a competitive edge by being the first to offer new products or services, or by lowering prices due to economies of scale2.

The other options are not advantages of adopting a capacity-leading strategy. There is not necessarily sufficient demand to consume capacity, which means that the organization may face overcapacity problems, such as high inventory costs, low utilization rates, and reduced profitability3. All demand is not satisfied, and profit is not maximized, because there may be other factors that affect customer satisfaction and profitability, such as quality, price, or service4. Overcapacity problems are not minimized, but rather increased, by adopting a capacity-leading strategy, because the organization may have more capacity than needed if demand does not increase as expected3.

References: CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section 4.1: Supply Management Concepts and Tools, p. 33-34; Capacity Planning Strategies: Types, Examples, Pros And Cons - Toggl; Lead Capacity Strategy, Lead Demand Strategy - UniversalTeacher.com; Capacity Planning Strategies For End-to-End Supply Chain Profitability; Capacity Planning Strategies: Types, Examples, Pros And Cons - Toggl.

Scrap allowance is a percentage or quantity of material that is expected to be lost or wasted during the production process. Scrap allowance is usually applied to the component items in a bill of materials (BOM), which is a document that lists the materials, quantities, and relationships required to produce an end item. An increase in the scrap allowance in an assembled item will result in replanning of the component items in material requirements planning (MRP), which is a system that calculates the timing and quantity of materials and resources needed to meet the production plan. Replanning of the component items in MRP means that the system will adjust the planned order releases, order quantities, and due dates of the component items to account for the increased scrap allowance. Replanning of the component items in MRP will ensure that enough material is available to meet the demand for the assembled item, and to avoid shortages or excess inventory.

References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.2: Implement Supply Plans, Subsection 4.2.1: Describe how to implement material requirements planning (MRP) (page 38).

The sales and operations planning (S&OP) process is a cross-functional process that aligns the demand and supply plans of an organization. The S&OP process consists of several steps, such as data gathering, demand planning, supply planning, pre-S&OP meeting, executive S&OP meeting, and S&OP implementation. Once the S&OP process has been completed, the executive S&OP meeting approves the final production plan, which is the output of the supply planning step. The production plan is a statement of the resources needed to meet the aggregate demand plan over a medium-term horizon. The functional responsibility of operations is to meet the revised production plan by developing and executing the master production schedule (MPS) and the detailed schedules. The MPS is a statement of the specific end items to be produced in each time period of the short-term horizon. The detailed schedules are the statements of the specific materials, resources, and activities needed to execute the MPS. References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.1: Develop Supply Plans, Subsection 4.1.2: Describe how to develop a production plan (page 36).

The cash-to-cash cycle time is a financial metric that measures the time it takes for a company to convert its cash outflows into cash inflows. The cash-to-cash cycle time is calculated by adding the days of inventory outstanding (DIO), the days of sales outstanding (DSO), and the days of payablesoutstanding (DPO), and then subtracting the days of payables deferred (DPD). The cash-to-cash cycle time can be shortened by reducing any of the components, except for DPD, which should be increased. Reducing which measure by 10% would contribute most to shortening the cash-to-cash cycle time depends on the relative values of each component. However, given the information below, reducing accounts receivable by 10% would have the greatest impact.

The current cash-to-cash cycle time is:

Cash-to-cash cycle time = DIO + DSO + DPO - DPD = 60 + 90 + 30 - 15 = 165 days

If accounts receivable is reduced by 10%, then DSO becomes 81 days (90 x 0.9). The new cash-to-cash cycle time is:

Cash-to-cash cycle time = DIO + DSO + DPO - DPD = 60 + 81 + 30 - 15 = 156 days

The difference is 9 days, which is the largest reduction among all the measures.

If inventory value is reduced by 10%, then DIO becomes 54 days (60 x 0.9). The new cash-to-cash cycle time is:

Cash-to-cash cycle time = DIO + DSO + DPO - DPD = 54 + 90 + 30 - 15 = 159 days

The difference is 6 days, which is smaller than reducing accounts receivable.

If accounts payable is reduced by 10%, then DPO becomes 27 days (30 x 0.9). The new cash-to-cash cycle time is:

Cash-to-cash cycle time = DIO + DSO + DPO - DPD = 60 + 90 + 27 - 15 = 162 days

The difference is 3 days, which is smaller than reducing accounts receivable and inventory value.

If cost of capital is reduced by 10%, then it has no direct effect on the cash-to-cash cycle time, as it is not a component of the formula. However, it may affect the profitability and liquidity of the company indirectly.

Therefore, reducing accounts receivable by 10% would contribute most to shortening the cash-to-cash cycle time, given the information below.

References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.2: Implement Supply Plans, Subsection 4.2.3: Describe how to implement financial management techniques (page 40).

 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. References := 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)

To find the cumulative difference between the required capacity and the available capacity of Months 1 through 37, we need to sum up the differences for each month. The difference for each month is calculated by subtracting the available capacity from the required capacity. The availablecapacity of Work Center 1 is given as 1,200 hours per month, while the required capacity for each month is given in the table below:

The difference for each month is then:

The cumulative difference is the sum of all the differences:

-200 -100 +0 +100 +200 +300 +400 + … +1,700 = 150

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.

According to the web search results, the production plan is a long-term plan that establishes the quantity and timing of the end products to be produced by the company1. The production plan is based on the forecasted demand, the available capacity, and the company’s strategic objectives2. The production plan is also used to authorize and guide the master schedule, which is a more detailed and short-term plan that specifies the quantity and timing of each end product to be produced in each time period3. The master schedule is derived from the production plan, and it must not exceed the production plan’s limits. Therefore, the major contribution of the production plan is to provide authorization for the master schedule.

The other options are not correct, because they are either irrelevant or inaccurate. The production plan does not establish demand by end item, but rather responds to the forecasted demand by end item. The production plan does not identify key resources to support the master schedule, but rather determines the overall resource requirements to meet the production targets. The production plan does not establish the weekly build schedule, but rather provides the basis for the weekly build schedule, which is a more detailed breakdown of the master schedule that specifies how many units of each end product will be built in each week.

References:

• Production Planning - Definition, Objectives, Types, Importance
• Production Planning in Manufacturing: Best Practices for Production Plans
• Master Production Schedule (MPS) - Definition & Examples | Marketing Tutor
• [Master Production Schedule (MPS) - Meaning & Process | Tallyfy]
• [Production Planning - an overview | ScienceDirect Topics]
• [Production Planning: Definition, Levels, Objectives and Factors]
• [What Is a Weekly Build Schedule? | Bizfluent]

A customer value proposition (CVP) is a statement that summarizes the benefits that a product or service offers to a target customer segment1. A CVP can help a company differentiate itself from its competitors by highlighting its unique value proposition (UVP), which is the main reason why customers should choose its product or service over others2. A CVP can also help a company communicate its value to its customers, increase customer satisfaction and loyalty, and improve its market position3.

One of the strategies that can improve the effectiveness of a CVP and enhance its differentiation in the market is to adopt best practices that improve product design. Product design is the process of creating a new product or service that solves a customer problem or fulfills a customer need4. By improving product design, a company can create products or services that are more desirable, feasible, and viable for its customers5. Some of the best practices that can improve product design are:

• Understanding the customer: conducting research and analysis to identify the customer segments, their jobs, pains, and gains, and their expectations and preferences. This can help create products or services that are tailored to the customer needs and wants, and deliver value that exceeds their expectations.
• Using the Value Proposition Canvas: a tool that helps design, test, create, and manage products and services that customers actually want. The Value Proposition Canvas consists of two parts: the Customer Profile, which describes the customer segment in terms of their jobs, pains, and gains; and the Value Map, which describes how the product or service creates value for the customer by addressing their jobs, relieving their pains, and creating their gains. The Value Proposition Canvas can help align the product or service with the customer needs and wants, and create a fit between them.
• Applying design thinking: a human-centered approach to innovation that integrates the needs of people, the possibilities of technology, and the requirements of business. Design thinking involves five phases: empathize, define, ideate, prototype, and test. Design thinking can help create products or services that are desirable for the customers, feasible for the technology, and viable for the business.
• Incorporating feedback loops: collecting and analyzing data from customers and stakeholders to measure the performance and impact of the product or service. Feedback loops can help validate the assumptions and hypotheses about the customer needs and wants, test the effectiveness of the value proposition, and identify areas for improvement or innovation.

Therefore, by adopting best practices that improve product design, a company can create products or services that deliver superior value to its customers, and differentiate itself from its competitors in the market.

References: 1: Customer Value Proposition Definition 3 2: Unique Value Proposition Definition 4 3: How to Write a Value Proposition (+ 6 Modern Examples) 5 4: Product Design Definition 5: What is Product Design? : Customer Discovery: The Ultimate Guide : Value Proposition Canvas – Download the Official Template 3 : What is Design Thinking? : Feedback Loop Definition

A sales forecast that is based solely on shipment history is a method that uses past sales data to predict future sales. This method assumes that the sales pattern will remain consistent over time, and does not account for any changes or fluctuations in demand or supply1. Therefore, this method can be distorted by any factors that affect the availability or delivery of the products, such as material shortages.

Material shortages are situations where the supply of raw materials, components, or finished goods is insufficient to meet the demand. Material shortages can be caused by various reasons, such as natural disasters, supplier issues, transportation disruptions, quality problems, or demand spikes2. Material shortages can have a negative impact on the sales forecast that is based solely on shipment history, because they can reduce the amount of products that can be shipped to customers, and thus lower the sales revenue. Material shortages can also create a backlog of orders that cannot be fulfilled in time, and thus create a gap between the actual and forecasted sales3.

The other factors listed in the question typically would not distort a sales forecast that is based solely on shipment history, because they do not affect the shipment history directly. Labor rate changes are changes in the wages or salaries paid to workers. They may affect the production costs and profits, but not necessarily the sales volume or revenue4. Currency exchange rates are the rates at which one currency can be exchanged for another. They may affect the competitiveness and profitability of international sales, but not necessarily the sales volume or revenue5. Customer demands are the needs and preferences of customers for products or services. They may affect the sales potential and market share, but not necessarily the sales volume or revenue.

Resource planning is a planning module that considers the longest-range planning goals. Resource planning is a method of determining the long-term capacity and resource requirements for a manufacturing system, based on the aggregate production plan, the sales and operations plan, and the business plan. Resource planning helps to align the production capacity and resources with the strategic objectives and goals of the organization. Resource planning considers the longest-range planning goals, which are usually expressed in terms of years or quarters.

The other options are not planning modules that consider the longest-range planning goals. Capacity requirements planning (CRP) is a planning module that calculates the capacity and load for each work center in a manufacturing system, based on the material requirements plan, the routing file, and the open order file. CRP helps to identify and resolve the capacity constraints and bottlenecks in the production process. CRP considers the short-range planning goals, which are usually expressed in terms of days or weeks. Input/output analysis is a planning module that compares the actual input/output of each work center in a manufacturing system with the planned input/output, based on the capacity requirements plan and the shop floor data. Input/output analysis helps to monitor and control the performance and efficiency of each work center. Input/output analysis considers the short-range planning goals, which are usually expressed in terms of days or weeks. Rough-cut capacity planning (RCCP) is a planning module that estimates the feasibility and adequacy of the key resources or work centers in a manufacturing system, based on the master production schedule and the bill of resources. RCCP helps to validate and adjust the master production schedule according to the available capacity and resources. RCCP considers the medium-range planning goals, which are usually expressed in terms of months or weeks. References: CPIM Exam Content Manual Version 7.0, Domain 4: Plan and Manage Supply, Section 4.2: Supply Planning Methods, p. 26; Resource Planning; Capacity Requirements Planning.

Adopting a lean approach to manage supply chain throughput rather than a more traditional approach means that more capacity may be required. Throughput is the rate at which a system produces or processes its output. A lean approach is a philosophy that aims to eliminate waste and improve efficiency by focusing on customer value, continuous improvement, and pull systems. A traditional approach is a philosophy that relies on forecasting, push systems, and large batch sizes. A lean approach may require more capacity because it reduces inventory levels, buffers, and safety stocks, which may expose the system to more variability and uncertainty. More capacity may be needed to cope with fluctuations in demand or supply, and to maintain high service levels. A lean approach does not necessarily require less training, as it involves empowering employees, cross-training them, and involving them in problem-solving and improvement activities. A lean approach does not necessarily require more inventory, as it aims to minimize inventory and its associated costs. A lean approach does not necessarily result in longer cycle times, as it strives to reduce lead times, setup times, and waiting times. References: CPIM Exam Content Manual Version 7.0, Domain4: Plan and Manage Supply, Section 4.2: Supply Planning Methods, p. 26; Lean Manufacturing; Throughput.

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?

Manufacturing flexibility can be measured by using changeover time. Changeover time is the time it takes to go from the last good part of one product run to the first good part of the next product run1. Manufacturing flexibility is the ability of a system to handle a range of products or variants with fast setups2. By using changeover time as a measure of manufacturing flexibility, we can assess how quickly and efficiently a system can switch from one product to another, and how well it can respond to changes in customer demand, product mix, quality standards, and delivery schedules3.

Some of the benefits of reducing changeover time and increasing manufacturing flexibility are4:

• Lower manufacturing costs: More value-added capacity can be unlocked because the equipment is idle for less time.
• Higher customer satisfaction: Customers can get their products faster and with more variety.
• Greater competitive advantage: The system can adapt to market changes and offer more customized products or services.
• Improved quality and productivity: The system can avoid defects, waste, and errors that may occur during long or complex changeovers.

Some of the methods or tools that can help reduce changeover time and increase manufacturing flexibility are5:

• Single-minute exchange of die (SMED): A technique that aims to reduce changeover time to less than 10 minutes by converting internal setup activities (those that can only be done when the machine is stopped) to external setup activities (those that can be done while the machine is running), and streamlining both types of activities.
• Total productive maintenance (TPM): A technique that involves maintaining and improving the equipment performance and reliability by involving all employees in preventive maintenance, autonomous maintenance, focused improvement, and quality management.
• Quick response manufacturing (QRM): A technique that focuses on reducing lead times throughout the entire organization by applying the principles of time-based competition, cellular manufacturing, system dynamics, and enterprise-wide application.

Therefore, changeover time is a measure that can be used to evaluate the manufacturing flexibility of a system.

References: 1: What is Changeover? (Lean terminology) - Velaction 5 2: FLEXIBILITY IN MANUFACTURING | SpringerLink 3 3: How to Reduce Changeover Time - MachineMetrics 6 4: The Tradeoff Between Inventory Costs And Transportation Costs 5: Changeover [Manufacturing Definition] | Creative Safety Supply