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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)

 A product family is a group of products that share common characteristics, components, or functions, and that satisfy a similar customer need or market segment1. A bill of material (BOM) is a list of all the materials, components, and subassemblies required to manufacture a product2. A BOM can have different levels, depending on the complexity and structure of the product. The most common levels are:

Final assembly level: This is the highest level of the BOM, where the finished product is shown as a single item. This level contains the basic information about the product, such as its name, description, quantity, and unit of measure2.

Subassembly level: This is the intermediate level of the BOM, where the subassemblies or modules that make up the final product are shown as separate items. A subassembly is a group of components or parts that are assembled together to perform a specific function within the final product3. This level contains the information about the subassemblies, such as their names, descriptions, quantities, units of measure, and relationships to the final product2.

Component level: This is the lowest level of the BOM, where the individual components or parts that make up the subassemblies or the final product are shown as separate items. A component is a basic element or material that is used to manufacture a subassembly or a final product4. This level contains the information about the components, such as their names, descriptions, quantities, units of measure, and relationships to the subassemblies or the final product2.

The most appropriate level of the BOM to forecast for a product family depends on several factors, such as the demand variability, production lead time, inventory cost, and customer preference of each level5. However, in general, it is advisable to forecast at the highest possible level of aggregation that still meets the customer requirements and expectations5. This is because forecasting at a higher level can reduce the forecast error and uncertainty, improve the forecast accuracy and reliability, and simplify the forecasting process5.

Therefore, for a product family that consists of 46 items, each having 5 features available and 6 options available, it would be most appropriate to forecast at the final assembly level items. This is because forecasting at this level can capture the overall demand pattern and trend of the product family, without getting into too much detail or complexity. Forecasting at this level can also allow for more flexibility and responsiveness in meeting customer needs and preferences by using postponement strategies6. Postponement strategies involve delaying some aspects of production or customization until after receiving customer orders6. For example, instead of forecasting and producing each item with each feature and option in advance, which would result in 46 x 5 x 6 = 1380 different combinations, the company can forecast and produce only 46 items at the final assembly level and then add features and options later according to customer orders.

The other options are not as appropriate as forecasting at the final assembly level items. Forecasting at the subassembly level items may be too detailed and complex for a product family with many features and options available. Forecasting at this level may result in higher forecast error and uncertainty, lower forecast accuracy and reliability, and more complicated forecasting process. Forecasting at this level may also reduce flexibility and responsiveness in meeting customer needs and preferences by committing resources too early in production. Forecasting at the component level items may be even more detailed and complex than forecasting at the subassembly level items. Forecasting at this level may have all the disadvantages mentioned above, as well as increase inventory cost and risk by holding too many components in stock.

References : Product Family Definition; Bill of Materials (BOM) – An Essential Guide with Examples; Subassembly Definition; Component Definition; Forecasting for Bill of Materials Inventory - EazyStock; Postponement Strategy: Definition & Benefits.

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.

Third-party logistics (3PL) services are services that involve outsourcing some or all of the logistics functions of a firm, such as transportation, warehousing, distribution, or order fulfillment, to an external provider1. By using 3PL services, a firm can reduce its need to own and operate its own logistics assets, such as trucks, trailers, warehouses, or inventory management systems. These assets are classified as fixed assets on the balance sheet, because they are long-term and tangible assets that are used in the normal course of business2. Therefore, increased use of 3PL services is likely to have the effect of decreasing the fixed assets on a firm’s balance sheet.

The other options are not likely effects of increased use of 3PL services on a firm’s balance sheet. Retained earnings are the accumulated net income of a firm that is not distributed to shareholders as dividends3. Retained earnings are not directly affected by the use of 3PL services, unless the firm’s net income changes as a result of cost savings or revenue growth from outsourcing logistics functions. Accounts receivable are the amounts owed to a firm by its customers for goods or services delivered on credit4. Accounts receivable are not directly affected by the use of 3PL services, unless the firm’s sales volume or credit terms change as a result of improved customer service or delivery performance from outsourcing logistics functions. Intangible assets are non-physical assets that have value based on their intellectual or legal rights, such as patents, trademarks, goodwill, or brand names5. Intangible assets are not directly affected by the use of 3PL services, unless the firm’s reputation or market position changes as a result of enhanced quality or innovation from outsourcing logistics functions. References:

What Is Third Party Logistics (3PL) ? | Definition, Types, Benefits

Fixed Asset - Definition & Examples (Assets = Liabilities + Equity)

Retained Earnings - Definition & Formula

Accounts Receivable - Overview, Examples & Importance

Intangible Asset - Definition & Examples

 Vendor-managed inventory (VMI) is a type of supply chain collaboration where the supplier takes responsibility for managing the inventory levels and replenishment orders of the buyer. VMI provides a benefit to the buying company in several ways, such as improving service levels, reducing stockouts, increasing visibility, and enhancing trust. One of the specific benefits of VMI is that it reduces administrative expenses for the buying company. Administrative expenses are the costs associated with the general operations and management of the business, such as salaries, rent, utilities, office supplies, and communication. VMI reduces administrative expenses by eliminating or simplifying the tasks related to inventory management, such as forecasting, ordering, invoicing, and payment. VMI also reduces administrative expenses by streamlining the communication and coordination between the buyer and the supplier, and by reducing the errors and disputes that may arise from inventory discrepancies.

References: CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.1: Develop Distribution Plans, Subsection 7.1.3: Describe how to develop supplier-customer relationships (page 66).

The horizon for forecasts that are input to the sales and operations planning (S&OP) process should be long enough that required resources can be properly planned. The 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, such as hours, units, tons, or dollars. The horizon for forecasts that are input to the S&OP process should be long enough that required resources can be properly planned, meaning that the organization can anticipate and allocate the necessary capacity, materials, labor, equipment, and facilities to meet the expected demand. The horizon for forecasts should also match the lead time for acquiring or changing the resources, as well as the planning cycle for updating the production plan.

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).

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

The information about the consistent overage in actual run time for one operation should be sent first to the engineering manager to evaluate the run time for the routing. A routing is a document that specifies the sequence of operations and work centers required to produce a product or feature. A run time is the amount of time needed to perform an operation or a task at a work center. An overage in actual run time means that the actual time spent on an operation or a task is more than the planned or standard time. This can result in lower efficiency, productivity, or quality, as well as higher costs, waste, or delays.

The engineering manager is responsible for designing and maintaining the routing and the run time for each operation or task. The engineering manager can evaluate the run time for the routing by comparing the actual and planned times, identifying the causes of the overage, and taking corrective actions. For example, the engineering manager may:

Review the accuracy and validity of the planned or standard time, and update it if necessary.

Analyze the performance and capability of the machines, equipment, or labor involved in the operation or task, and improve them if needed.

Investigate the presence of any errors, defects, rework, or variability in the operation or task, and eliminate them if possible.

Implement lean production techniques, such as value stream mapping, waste reduction, or continuous improvement, to optimize the operation or task.

The other options are not appropriate for sending the information about the consistent overage in actual run time for one operation first. The product manager is not responsible for designing or maintaining the routing or the run time for each operation or task. The product manager is responsible for managing and marketing the product or feature, such as defining its specifications, features, price, or promotion. Increasing the selling price of the product is not a solution for addressing the overage in actual run time, as it may reduce customer demand or satisfaction, as well as increase competition. The quality manager is not responsible for designing or maintaining the routing or the run time for each operation or task. The quality manager is responsible for ensuring and improving the quality of the product or feature, such as setting quality standards, implementing quality control methods, or conducting quality audits. Adding a new qualitymeasurement to the operation is not a solution for addressing the overage in actual run time, as it may increase complexity or cost without improving efficiency or productivity. The production supervisor is not responsible for designing or maintaining the routing or the run time for each operation or task. The production supervisor is responsible for overseeing and coordinating the production activities at a work center, such as scheduling operations, assigning resources, monitoring performance, or resolving issues. Reviewing and explaining the overage in actual run time is not a solution for addressing it, as it does not identify or eliminate its causes.

References := [Routing - an overview | ScienceDirect Topics], [Run Time - an overview | ScienceDirect Topics], [Engineering Manager Job Description - Betterteam], [Product Manager Job Description - Betterteam], [Quality Manager Job Description - Betterteam], [Production Supervisor Job Description - Betterteam]

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

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.