APICS CPIM-Part-2 Certified in Planning and Inventory Management(Part 2) Exam Practice Test

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}

The bullwhip effect is a supply chain phenomenon that causes fluctuations in demand to amplify as they move upstream, from the consumer to the retailer, to the distributor and then to the producer1. The bullwhip effect can result in inefficiencies and costs such as excess inventory, lost revenues, superfluous capacity and poor customer service1.

One of the activities that would be effective to mitigate the bullwhip effect is to reduce lead times, which are the time intervals between placing an order and receiving the goods2. Reducing lead times can help to reduce the uncertainty and variability in demand, as well as improve the responsiveness and flexibility of the supply chain2. By reducing lead times, the supply chain partners can order less frequently and in smaller quantities, while still meeting customer demand. This can reduce the need for safety stock, cycle stock and pipeline stock, and thus lower the inventory carrying costs and risks2.

The other options are not effective activities to mitigate the bullwhip effect. Implementing track and trace technology, which is a method for tracking the origin, history, location and status of a product or its parts throughout the supply chain3, may help to improve the visibility and transparency of the supply chain, but it may not reduce the demand fluctuations or inventory imbalances caused by the bullwhip effect. Using a push system, which is a production system where goods are produced based on forecasted demand rather than actual customer orders4, may increase the risk of overproduction or underproduction, as well as create more inventory and waste in the supply chain. Increasing inventory, which is the stock of goods or materials held by a company to meet customer demand5, may increase the inventory carrying costs and risks, as well as tie up cash flow and working capital.

References : Lead Time Reduction: Definition & Benefits; The bullwhip effect: causes, intensity, and mitigation - Academia.edu; What is Traceability in Supply Chain Management?; Push vs Pull System: What Is The Difference?; Inventory Definition.

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).

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.”

 When procuring for innovative products, the focus should be on the total landed cost, which is the sum of all costs associated with making and delivering products to the point where they are used. This includes not only the unit cost, but also the transportation, handling, inventory, taxes, duties, and other fees associated with the procurement process. By focusing on the total landed cost, procurement can evaluate the true value of innovative products and compare them with alternative solutions. Focusing on unit cost alone may overlook the potential benefits of innovation, such as improved quality, performance, or sustainability. Lead times and lot sizes are also important factors to consider, but they are not the main focus when procuring for innovation. References : CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section A: Supply Management Concepts and Approaches, Subsection 2: Procurement Strategies and Techniques, Page 17.

 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

 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

 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

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.

 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)

 Manufacturing lead time is the time required to acquire, manufacture, or ship goods1. It includes the time required for preprocessing, processing, and postprocessing of a finished product2. The formula for manufacturing lead time is:

Manufacturing lead time = Preprocessing time + Processing time + Postprocessing time

Preprocessing time is the time needed for handling the order, making sales order, and preparing supplies2. Processing time is the period when the product is manufactured or collected. Postprocessing time is the time of delivery2.

In this question, we are given the following information:

• The product is Item A, which requires Operations 10, 20, and 30 in a work cell
• The order quantity is 10 units
• The operations require no set up time
• The processing times for each operation are:

To find the shortest manufacturing lead time, we need to assume that the preprocessing and postprocessing times are zero, and that the operations can be performed in parallel. This means that the work cell can process 10 units of Item A simultaneously, without any waiting or transportation time.

Therefore, the shortest manufacturing lead time is equal to the longest processing time among the three operations. Since Operation 10 has the longest processing time of 1 hour per unit, the shortest manufacturing lead time is:

Manufacturing lead time = 1 hour x 10 units = 10 hours

However, this answer is not among the options given. Therefore, we need to consider another possibility: that the work cell can only process one unit of Item A at a time, and that the operations must be performed in sequence. This means that each unit of Item A must complete Operation 10 before moving to Operation 20, and then to Operation 30. In this case, the shortest manufacturing lead time is equal to the sum of the processing times for all three operations multiplied by the order quantity. Therefore, the shortest manufacturing lead time is:

Manufacturing lead time = (1 hour + 0.5 hour + 0.5 hour) x 10 units = 20 hours

However, this answer is also not among the options given. Therefore, we need to consider one more possibility: that the work cell can process one unit of Item A at a time, but that the operations can be performed in parallel with overlapping times. This means that as soon as one unit of Item A finishes Operation 10, it moves to Operation 20, while another unit of Item A starts Operation 10. Similarly, as soon as one unit of Item A finishes Operation 20, it moves to Operation 30, while another unit of Item A starts Operation 20. In this case, the shortest manufacturing lead time is equal to the sum of the processing times for all three operations plus the processing times for each operation multiplied by the order quantity minus one. Therefore, the shortest manufacturing lead time is:

Manufacturing lead time = (1 hour + 0.5 hour + 0.5 hour) + (1 hour + 0.5 hour + 0.5 hour) x (10 units - 1) = 12 hours

This answer is among the options given and it is the shortest possible manufacturing lead time under these assumptions. Therefore, the correct answer is B. 12 hours.

References : Manufacturing Lead Time; How to Calculate and Reduce Lead Time; How To Calculate Lead Time?; What Is Lead Time? How to Calculate Lead Time in Different Industries.

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

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

References:

• Make-or-Buy Decision - Definition & Examples | Marketing Tutor
• Make-or-Buy Decision - Overview, How It Works, Triggers
• Make or Buy Decision - Definition & Examples | Marketing Tutor
• Make or Buy Decision - What Is It, Examples, Factors, Advantages

 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.

Operations strategy is the process of aligning the operations function with the strategic goals of the organization. It involves translating market requirements into operations decisions that support the competitive priorities of the organization. Operations strategy is not a bottom-up reflection of what the whole group or business wants to do, but rather a top-down alignment of the operations function with the overall business strategy. Operations strategy is not a top-down activity where operations improvements cumulatively build strategy, but rather a deliberate and coherent plan that guides the design and management of the operations system. Operations strategy is not only about exploiting operations capabilities in the global market, but also about developing and sustaining those capabilities in response to the changing market needs.

References := What Is an Operations Strategy? Definition and Benefits, Operations Strategy: Definition And Impact On Projects - monday.com, Operations Strategy: Definition, Example & Strategies In 2022

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

Compared to traditional supplier relationships, a more strategic view of supplier relationships would require maintaining communication based on trust. Trust is a key factor that enables effective collaboration, information sharing, problem solving, and innovation between supply chain partners12. Trust can also reduce transaction costs, conflicts, and opportunism, and increase commitment, loyalty, and performance34. Therefore, maintaining communication based on trust is essential for developing and sustaining strategic supplier relationships that can create value and competitive advantage for both parties.

The other options are not necessarily required for a more strategic view of supplier relationships, because they are either insufficient or irrelevant. Offering the supplier more business may increase the volume or frequency of transactions, but it does not guarantee a more strategic or long-term relationship. Adopting electronic data interchange (EDI) may improve the efficiency or accuracy of information exchange, but it does not ensure a more collaborative or innovative relationship. Implementing concurrent engineering may enhance the product design or development process, but it does not address the other aspects of a strategic relationship, such as quality, delivery, or risk management.

Load variability is the fluctuation in electricity demand over time. It is influenced by factors such as weather conditions, time of day, day of the week, and various external events. The higher the load variability, the more challenging it becomes to accurately predict demand and plan capacity1.

A technique to manage load variability would be to plan additional safety capacity as a part of total available capacity to meet unplanned demand. Safety capacity is the act of consistently planning your production below capacity. The reason for this is so the company can become more flexible and responsive to the changing needs of the customer2. For example, if your company was operating at full capacity and your best customer needed extra product, you would be unable to meet their request. By allowing for safety capacity, your company can become more flexible and more responsive.

The other options are not techniques to manage load variability, because they are either irrelevant or ineffective. Applying capacity planning using overall factors (CPOF) to identify priority items at the work center is a simple approach to capacity planning that applies historical ratios. These ratios are based on the master production schedule along with established production standards3. However, this method does not account for load variability or unexpected changes in demand or supply. Designing the shop floor with machines that sit idle until additional demand requires their use is a wasteful and costly way of managing load variability. It does not optimize the utilization of resources or minimize the inventory costs4. Using capacity bills to provide a rough-cut method of planning total-time-per-unit value is a procedure based on the manufacturing production schedule (MPS). It indicates the total standard time required to produce one end product in each work center required in its manufacture5. However, this method does not address the fluctuations in demand or supply that may occur due to load variability.

Sales and operations planning (S&OP) is a process that aligns the sales plan, the production plan, the inventory plan, and the financial plan to achieve the business objectives. S&OP helps to balance supply and demand, optimize resources, reduce inventory costs, and improve customer service. S&OP is done on an aggregate or family level, and covers a sufficient span of time to make sure that the necessary resources will be available. S&OP also involves regular reviews and updates of the plans based on the changes in the market and the company’s performance.

Business planning is a process that defines the long-term vision, mission, goals, and strategies of the organization. Business planning provides the direction and framework for the operational plans, but does not address the specific issues of inventory management and financial performance.

Detailed material planning is a process that determines the quantity and timing of material requirements for each item or component in the production plan. Detailed material planning is based on the master schedule, which is derived from the S&OP. Detailed material planning does not address the alignment of sales and operations at an aggregate level.

Master scheduling is a process that translates the S&OP into a detailed plan for each product or service in a specific time period. Master scheduling specifies the quantityand timing of finished goods to be produced or delivered to meet the demand. Master scheduling is dependent on the S&OP, and does not address the coordination of sales and operations at an aggregate level.

References:

• APICS Exam Handbook, page 12
• CPIM Part 1 Study Guide, page 19
• CPIM Part 2 Study Guide, page 17
• Sales and Operations Planning (S&OP) 101| Smartsheet
• Sales, Inventory & Operations Planning - What It Is and How to Operate

A company that has prioritized customers A, B, and C, filling orders in that sequence, will have an impact on the customer service levels for customers B and C. Customer service level is the percentage of orders that are fulfilled on time and in full. The higher the customer service level, the more satisfied the customer is with the company’s performance. When a company prioritizes customers based on their importance, value, or profitability, it means that it allocates its resources and capacity to serve the most preferred customers first, and then the less preferred customers later. This can result in different customer service levels for different customer segments. In this case, customer A is the most preferred customer, followed by customer B and then customer C. Therefore, customer A will receive the highest customer service level, as the company will fill its orders first and ensure that they are delivered on time and in full. Customer B will receive the second highest customer service level, as the company will fill its orders after customer A’s orders are fulfilled. Customer B may experience some delays or shortages if the company runs out of resources or capacity after serving customer A. Customer C will receive the lowest customer service level, as the company will fill its orders last, after customer A’s and B’s orders are completed. Customer C may face longer delays or higher shortages if the company has exhausted its resources or capacityafter serving customer A and B. Therefore, the impact of prioritizing customers A, B, and C is that customer B has a higher service level than customer C. References := How to Prioritize Customer Requests - Gladly, Support Ticket Prioritization - 6 Best Practices to follow, [Customer Service Level: Definition & Calculation]

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

ABC classification is an inventory categorization technique that divides items into three classes based on their usage value, which is the product of the number of units sold and the cost per unit. Class A items have the highest usage value and account for a large proportion of the total inventory value, but a small percentage of the number of items. Class B items have a moderate usage value and account for a moderate proportion of the total inventory value and the number of items. Class C items have the lowest usage value and account for a small proportion of the total inventory value, but a large percentage of the number of items1.

An advantage of applying ABC classification to a firm’s replenishment items is that it allows planners to focus on critical products. Replenishment items are items that are regularly ordered or produced to maintain a certain level of inventory. By using ABC classification, planners can prioritize the replenishment of class A items, which have the highest impact on the firm’s profitability and customer satisfaction. Planners can also apply different inventory management techniques and policies for each class of items, such as more frequent reviews, tighter controls, lower safety stocks, and higher service levels for class A items, and less frequent reviews, simpler controls, higher safetystocks, and lower service levels for class C items234. This way, ABC classification can help planners optimize the replenishment process and reduce costs, waste, and stockouts.

The other options are not advantages of applying ABC classification to a firm’s replenishment items, because they are either irrelevant or incorrect. ABC classification does not distinguish independent demand from dependent demand, which are two types of demand that depend on whether the item is sold to customers or used as a component in another item5. ABC classification does not provide better order quantities than the economic order quantity (EOQ), which is a formula that calculates the optimal order quantity that minimizes the total inventory costs6. ABC classification does not allow the firm to utilize time-phased order point (TPOP), which is a method that determines when to place an order based on the projected inventory position and the lead time7.

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 

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 purchase order is issued to the supplier for each delivery requirement is an activity that represents waste in a system. Waste is any activity or process that does not add value to the customer or the product, but consumes resources, time, or money. Waste can reduce the efficiency, productivity, and quality of the system, as well as increase the costs, defects, or delays. Waste can be classified into seven types: overproduction, inventory, transportation, motion, waiting, overprocessing, and defects1.

Issuing a purchase order to the supplier for each delivery requirement is an example of overprocessing waste. Overprocessing waste is any activity or process that is unnecessary or excessive for meeting the customer needs or specifications. Overprocessing waste can result from poor communication, unclear requirements, redundant tasks, or outdated procedures. Issuing a purchase order to the supplier for each delivery requirement is an overprocessing waste because it involves more paperwork, approvals, and transactions than needed. It can also create confusion, errors, or delays in the delivery process. A better way to eliminate this waste is to use a pull system, such as kanban2, that signals the supplier to deliver only when there is a demand from the customer.

The other options are not activities that represent waste in a system. More kanbans with smaller quantities are added to the supply chain is an activity that reduces waste in a system. Kanban is a pull system that uses visual signals, such as cards or containers, to indicate when and how much to produce or deliver. Kanban can help reduce waste by synchronizing the production and delivery processes with the customer demand, minimizing inventory levels, improving quality and efficiency, and preventing overproduction or underproduction3. Adding more kanbans with smaller quantities can help reduce inventory waste by lowering the holding costs, transportation costs, or obsolescence costs of inventory. It can also help reduce overproduction waste by producing or delivering only what is needed by the customer.

A kanban is eliminated from the system is an activity that reduces waste in a system. Eliminating a kanban from the system means reducing the number of signals or containers used in the production or delivery process. Eliminating a kanban from the system can help reduce waste by increasing the throughput and velocity of the process, reducing cycle times and lead times, improving responsiveness and flexibility, and enhancing customer satisfaction4.

A production forecast is issued to the supplier is not an activity that represents waste in a system. A production forecast is an estimate of the future demand or sales of a product or service. A production forecast can help plan and manage the production and delivery processes by determining how much and when to produce or deliver. A production forecast can help reduce waste by optimizing the use of resources and capacity, minimizing inventory levels and costs, improving service levels and quality, and avoiding stockouts or shortages5. Issuing a production forecast to thesupplier can help align the production and delivery processes with the customer demand and expectations.

References := The 7 Wastes With Examples: How to Identify Them | Lean Manufacturing, What Is Overprocessing Waste? Definition And Examples, Kanban - Wikipedia, How To Reduce Inventory With Kanban | Lean Manufacturing, Production Forecasting - an overview | ScienceDirect Topics

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

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

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

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

References:

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

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

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

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

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

Offering digital downloads only may result in an increased possibility of loss of intellectual property, as this exposes the online retailer to the risk of cyber theft and piracy. Digital downloads are easier to copy, distribute, and modify without authorization than hard copy books, and the online retailer may lose control over its IP rights and revenues. Cyber thieves may hack into the online retailer’s network and steal its IP assets, such as the content, design, and format of the books. Pirates may also offer illegal copies of the books to consumers at lower prices or for free, undermining the online retailer’s market share and profitability. According to Deloitte Insights, IP cyber theft has largely remained in the shadows compared with more familiar cybercrimes such as the theft of credit card, consumer health, and other personally identifiable information1. However, IP cyber theft can have serious consequences for a company’s future, as IP is the heart of the 21st-century company, an essential motor driving innovation, competitiveness, and the growth of businesses and the economy as a whole1. The WIPO Magazine also notes that digital technology has made IP theft easier, as Bad Actors use technology to flood the online market with pirated and counterfeit goods2. The impact of IP theft on the economy can be significant, as it can result in loss of legitimate sales, reduced tax revenues, lower employment opportunities, and diminished incentives for innovation3. Therefore, an online retailer that moves from delivering hard copy books to offering digital downloads only should take appropriate measures to protect its IP from cyber theft and piracy. This may include using encryption, digital rights management, watermarking, authentication, and monitoring technologies, as well as educating consumers about the value and benefits of legal downloads

 Inventory turns, 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 as the ratio of cost of goods sold (COGS) to average inventory1. A higher inventory turnover indicates that the company is selling its inventory quickly and efficiently, while a lower inventory turnover indicates that the company is holding too much inventory or having difficulty selling its products.

Increasing safety stock to improve customer fill rate would result in a decrease in inventory turns, as it would increase the average inventory level. Safety stock is the extra inventory that is held to prevent stockouts and meet unexpected demand2. Customer fill rate is the percentage of customer orders that are fulfilled from available inventory without delay3. Increasing safety stock can improve customer fill rate by reducing the risk of stockouts and ensuring high service levels. However, increasing safety stock also increases the inventory carrying costs and risks, such as storage, handling, obsolescence, shrinkage, and opportunity costs4. Therefore, increasing safety stock is a trade-off between customer satisfaction and inventory efficiency.

The other options are not correct. Pipeline inventory is the inventory that is in transit between locations or stages in the supply chain5. Increasing safety stock would not affect pipeline inventory, as it is determined by the lead time and demand rate. Transportation costs are the expenses incurred for moving goods from one location to another6. Increasing safety stock would not affect transportation costs, as it is determined by the distance, mode, volume, and frequency of transportation. Sales revenue is the income generated from selling goods or services to customers7. Increasing safety stock would not affect sales revenue directly, as it is determined by the price and quantity of sales. However, increasing safety stock may have an indirect positive effect on sales revenue by improving customer satisfaction and loyalty.

References : Inventory Turnover Ratio | Formula | Calculator (Updated 2021); Safety Stock: The Ultimate Guide; Fill Rate - Definition, Formula & Example; Inventory Carrying Cost: Definition & Formula; Pipeline Inventory: Definition & Example; Transportation Costs: Definition & Examples; Sales Revenue: Definition & Examples.

A quantitative model is a mathematical representation of a real-world situation that involves numbers, variables, equations, and logic. A quantitative model can be used to support sales and operations planning (S&OP), which is a process of aligning the demand and supply plans of an organization at an aggregate level. To develop a quantitative model for S&OP, the following statements are most true:

• It is not necessary to capture all of the detail in order to create a useful model. In fact, too much detail can make the model complex, unrealistic, and difficult to solve. A useful model should capture the essential features of the situation and simplify the irrelevant or insignificant aspects1.
• Aggregation will be necessary to develop an appropriate model. Aggregation is the process of combining data or information into higher-level categories or groups. For example, products can be aggregated into product families, customers can be aggregated into market segments, and time periods can be aggregated into months or quarters. Aggregation can help reduce the size and complexity of the model, as well as improve its accuracy and reliability2.
• Clear objectives are necessary to begin the modeling process. Objectives are the desired outcomes or goals that the model aims to achieve or optimize. For example, an objective of S&OP could be to maximize profit, minimize cost, or balance inventory. Clear objectives can help define the scope, structure, and criteria of the model3.
• A significant level of effort is required to develop a model. Developing a model involves several steps, such as defining the problem, collecting and analyzing data, formulating and testing the model, implementing and validating the solution, and evaluating and improving the results. Each step requires careful planning, execution, and evaluation4.

References: CPIM Part 2 Exam Content Manual, Domain 3: Plan and Manage Demand, Section 3.1: Demand Management Concepts and Tools, p. 27-28; Quantitative Techniques Used in Sales & Operations Planning; Sales and Operations Planning (S&OP) 101| Smartsheet; Chapter 13 – Aggregate Planning - KSU; What is Sales and Operations Planning (S&OP) | Oracle; Aggregation and Disaggregation | SAP Help Portal.

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

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

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

References:

• Process Capability Analysis Cp, Cpk, Pp, Ppk - A Guide - 1factory
• What is Process Capability? Capability Estimates & Studies | ASQ

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.

A two-bin system is a type of inventory management technique that uses two containers or bins to store and replenish items. When the first bin is empty, the second bin is used to supply the demand while the first bin is reordered. A two-bin system is most responsive to changes in demand levels because it triggers replenishment orders based on actual consumption rather than fixed time intervals or reorder points. A two-bin system can reduce stockouts, improve service levels, and lower inventory costs. References: CPIM Exam Content Manual Version 7.0, Domain 5: Plan and Manage Inventory, Section 5.2: Implement Inventory Plans, Subsection 5.2.3: Describe how to implement inventory replenishment techniques (page 46).

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.

Carrying cost is the cost of holding inventory over a period of time. Carrying cost includes the cost of storage, insurance, taxes, obsolescence, spoilage, and opportunity cost of capital. Carrying cost is usually expressed as a percentage of the inventory value per year. An order point is the level of inventory that triggers a replenishment order. An order point is calculated based on the demand rate, the lead time, and the safety stock. An order point is used to maintain a balance between inventory availability and inventory cost. A planner who chooses to increase the order point for a raw material is most likely to increase the carrying cost, as a higher order point means a higher average inventory level, which in turn means a higher carrying cost. Increasing the order point may reduce the risk ofstockouts and improve customer service, but it also increases the inventory investment and its associated costs.

The other options are not likely to increase as a result of increasing the order point. Ordering cost is the cost of placing and receiving an order. Ordering cost includes the cost of processing, transportation, inspection, and setup. Ordering cost is usually expressed as a fixed amount per order. Ordering cost is not affected by the order point, but by the order quantity and the number of orders. Landed cost is the total cost of delivering a product or service to the customer. Landed cost includes the cost of production, transportation, taxes, duties, and fees. Landed cost is usually expressed as a percentage of the product or service value. Landed cost is not affected by the order point, but by the sourcing, pricing, and logistics decisions. Product cost is the total cost of producing a product or service. Product cost includes the cost of materials, labor, and overhead. Product cost is usually expressed as a variable amount per unit. Product cost is not affected by the order point, but by the production methods, techniques, and efficiency. References: CPIM Exam Content Manual Version 7.0, Domain 5: Plan and Manage Inventory, Section 5.1: Inventory Management Concepts, p. 30; Order Point; Carrying Cost.

 When a certified supplier’s delivery performance declines, a company should respond initially by communicating with the supplier to investigate the source of the problem. A certified supplier is a supplier that has met certain quality, delivery, and service standards and has been approved by the company to supply goods or services without inspection or testing. A certified supplier is expected to maintain a high level of performance and reliability, as well as to report any issues or deviations that may affect the delivery process. However, sometimes a certified supplier may experience a decline in delivery performance, which can cause delays, disruptions, or dissatisfaction for the company and its customers.

The best way to deal with a decline in delivery performance from a certified supplier is to communicate with the supplier and find out the root cause of the problem. Communication is essential for maintaining a good relationship with the supplier and for resolving any issues or conflicts that may arise. Communication can help the company and the supplier to understand each other’s expectations, needs, and challenges, as well as to identify and implement corrective actions or preventive measures. Communication can also help to restore trust and confidence between the parties and to prevent further deterioration of performance.

Tightening performance criteria for the supplier is not an appropriate initial response when a certified supplier’s delivery performance declines. Tightening performance criteria means imposing stricter standards or requirements on the supplier, such as reducing lead times, increasing penalties, or demanding more frequent reports. Tightening performance criteria may seem like a way of holding the supplier accountable and motivating them to improve their performance, but it can also have negative consequences. Tightening performance criteria can create more pressure and stress for the supplier, which can affect their quality, productivity, or morale. It can also damage the relationship with the supplier, as it may signal a lack of trust, respect, or cooperation from the company.

Establishing a temporary buffer of finished goods inventory at the supplier is not an effective initial response when a certified supplier’s delivery performance declines. Establishing a temporary buffer of finished goods inventory means storing extra units of products at the supplier’s location to compensate for any delays or shortages in delivery. Establishing a temporary buffer of finished goods inventory may seem like a way of ensuring availability and continuity of supply, but it can also have drawbacks. Establishing a temporary buffer of finished goods inventory can increase inventory costs, such as holding costs, transportation costs, or obsolescence costs. It can also reduce inventory visibility and control, as it may be difficult to track or manage the inventory at the supplier’s location. Moreover, establishing a temporary buffer of finished goods inventory does not address the root cause of the decline in delivery performance, but rather masks or postpones it.

Increasing the standard lead time of the component to allow for supplier delays is not a suitable initial response when a certified supplier’s delivery performance declines. Increasing the standard lead time of the component means extending the time between placing an order and receiving it from the supplier. Increasing the standard lead time of the component may seem like a way of adjusting to the decline in delivery performance and avoiding late deliveries, but it can also have disadvantages. Increasing the standard lead time of the component can reduce customer satisfaction and loyalty, as it may result in longer waiting times or missed deadlines for the customers. It can also reduce operational efficiency and flexibility, as it may limit the ability to respond to changes in demand or supply. Furthermore, increasing the standard lead time of the component does not solve the problem of the decline in delivery performance, but rather accepts or tolerates it.

References := Supplier Performance Metrics and Scorecard - IADC.org, Delivery Performance Explained (Measures, KPIs, and How to Improve), How to manage supplier performance - gatekeeperhq.com

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 capacity requirements plan is used primarily to balance capacity and load at work centers. A work center is a location where one or more resources perform a specific operation or a group of operations. Capacity is the amount of time or output that a work center can offer for production activities. Load is the amount of time or output that a work center is required to produce based on the planned production schedule. Balancing capacity and load means matching the available capacity with the required load, so that there is no excess or shortage of capacity at any work center.

The capacity requirements plan is a report that shows the projected load and capacity of each work center over a planning horizon. It is derived from the master production schedule (MPS), which specifies the quantity and timing of finished goods to be produced, and the bill of materials (BOM), which specifies the components and materials needed for each finished good. The capacity requirements plan also uses the routing file, which specifies the sequence of operations and work centers required for each finished good, and the work center file, which specifies the capacity and availability of each work center. The capacity requirements plan can help to identify any gaps or surpluses in capacity at each work center and to take corrective actions, such as revising the MPS, rescheduling operations, adding or reducing resources, or outsourcing production.

The other options are not the primary uses of the capacity requirements plan. Calculating the level of available capacity is an input to the capacity requirements plan, not an output. The level of available capacity is determined by the work center file, which contains information such as shifts, hours, efficiency, utilization, and maintenance of each work center. Determining the overall product load profile is not a use of the capacity requirements plan, as it does not consider the product mix or demand variability. The overall product load profile is a general estimate of the total production volume or demand over a period of time. Determining the priority of orders is not a use of thecapacity requirements plan, as it does not consider the due dates or urgency of orders. The priority of orders is determined by using priority rules or dispatching methods, such as first-come-first-served (FCFS), shortest processing time (SPT), earliest due date (EDD), or critical ratio (CR).

References := Capacity Requirements Planning (CRP): Definition and Procedures, Capacity Requirements Planning (CRP Plan and Strategies) - ERP Information, Definition of Capacity Requirements Planning (CRP) - Gartner …

Pareto analysis is a technique that a group can use to prioritize problems. Pareto analysis is based on the Pareto principle, also known as the 80/20 rule, which states that 80% of the effects come from 20% of the causes1. Pareto analysis can help a group identify and focus on the most significant problems that account for the majority of the negative outcomes, and allocate their resources and efforts accordingly2.

The steps of Pareto analysis are3:

• Step 1: Define the problem and its scope. Clarify what the problem is, why it is important, and what are the desired outcomes.
• Step 2: Identify the causes of the problem. Brainstorm and list all the possible factors that contribute to the problem, such as people, processes, equipment, materials, environment, etc.
• Step 3: Collect data on the causes. Gather quantitative or qualitative data on how often or how much each cause affects the problem, such as frequency, severity, cost, time, etc.
• Step 4: Analyze the data using a Pareto chart. A Pareto chart is a type of bar chart that shows the frequency or impact of each cause in descending order, along with a cumulative line that shows the percentage of the total effect. A Pareto chart can help visualize which causes are more significant than others, and where the 80/20 split occurs.
• Step 5: Prioritize the causes and take action. Based on the Pareto chart, select the most critical causes that need to be addressed first, and develop and implement solutions to eliminate or reduce them. Monitor and evaluate the results and repeat the process if necessary.

Therefore, Pareto analysis is a technique that a group can use to prioritize problems by identifying and focusing on the most significant causes that account for the majority of the negative outcomes.

References: 1: The Pareto Principle - The 80/20 Rule Explained 1 2: How to Use Pareto Analysis to Improve Your Business 2 3: How to Perform a Pareto Analysis (Step-by-Step) 3

The question is about forecasting the demand for a product, and the options are different levels of aggregation or disaggregation. The highest percentage of error will occur at the most disaggregated level, which is the field warehouses. The field warehouses are the locations where the finished products are stored and delivered to the customers. The demand at the field warehouses is affected by various factors, such as customer preferences, seasonality, promotions, and competition. The demand at the field warehouses is also more volatile and uncertain than the demand at the higher levels of aggregation, such as the market segment or the central warehouse. Therefore, forecasting the demand at the field warehouses will have the highest percentage of error, which means that the forecast will deviate more from the actual demand.

The other options are not the levels where the highest percentage of error will occur. The master schedule is not a level of aggregation or disaggregation, but a plan that specifies the quantity and timing of finished products to be produced in a given period. The master schedule is based on the forecasted demand, the customer orders, and the production capacity. The master schedule does not have a percentage of error, but it may have a variance or deviation from the actual production output. The market segment is a level of aggregation that groups the customers or products based on their common characteristics or needs. The market segment is a higher level than the field warehouses, and it has less variability and uncertainty in demand. Therefore, forecasting the demand at the market segment will have a lower percentage of error than forecasting at the field warehouses. The central warehouse is a level of aggregation that consolidates the inventory from different sources and distributes it to different destinations. The central warehouse is a higher level than the field warehouses, and it has less variability and uncertainty in demand. Therefore, forecasting the demand at the central warehouse will have a lower percentage of error than forecasting at the field warehouses.

 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 andallocation 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.

The load on a work center is the total time required to complete all the work orders assigned to that work center. The load can be calculated by multiplying the quantity and the run time of each work order, and then adding them up. The formula is:

Load = (Q1 x R1) + (Q2 x R2) + … + (Qn x Rn)

Where Q is the quantity and R is the run time of each work order.

Using the data from the table, we can plug in the values and get:

Load = (10 x 8) + (15 x 9) + (12 x 7.5) + (20 x 10) + (8 x 6.5) = 80 + 135 + 90 + 200 + 52 = 557

Therefore, the load on this work center is 557 hours.

References: CPIM Exam Content Manual Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.3: Monitor Detailed Schedules, Subsection 6.3.2: Describe how to monitor input/output control (I/O) (page 60).

 A work cell layout is a type of process layout that arranges equipment and workers according to the sequence of operations performed on a product or service. A work cell layout can improve space utilization by reducing the amount of floor space needed for production, eliminating unnecessary material handling and storage, and increasing the flexibility of the layout. A work cell layout can also reduce cycle time, improve quality, and enhance worker motivation. References: CPIM Exam Content Manual Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.2: Implement Detailed Schedules, Subsection 6.2.3: Describe the principles of work center design and layout (page 58).

The break-even point is the level of sales or output where the total revenue equals the total cost, and the profit is zero. The break-even point can be calculated in units or in dollars. To calculate the break-even point in units, the following formula can be used:

Break-even point in units = Fixed cost / (Selling price per unit - Variable cost per unit)

In this case, the fixed cost is $120,000, the selling price per unit is $20, and the variable cost per unit is $5. Plugging these values into the formula, we get:

Break-even point in units = 120,000 / (20 - 5) = 120,000 / 15 = 8,000

Therefore, the break-even point in units for Product X is 8,000. This means that the company needs to sell 8,000 units of Product X to cover its fixed and variable costs and make no profit or loss.

References: CPIM Exam Content Manual Version 7.0, Domain 8: Manage Quality, Continuous Improvement, and Technology, Section 8.1: Develop Quality and Continuous Improvement Plans, Subsection 8.1.2: Describe how to develop a business case for quality and continuous improvement initiatives (page 74).