CPIM-Part-2 VCE Exam Download

 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.

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.

 A production cell is a group of machines or workstations that are arranged in a layout that facilitates the flow of materials and work-in-progress in a manufacturing system. A production cell is usually designed to produce a family of products or services that have similar characteristics or requirements. A production cell is often based on the principles of lean manufacturing and group technology, which aim to eliminate waste and improve quality. When designing a production cell, the most important consideration is the flow of materials into the cell and sequencing of operations to minimize total cycle time. The flow of materials into the cell refers to the movement and direction of the raw materials, components, or modules that enter the cell for processing. The sequencing of operations refers to the order and arrangement of the machines or workstations that perform the processing steps within the cell. Minimizing total cycle time refers to reducing the time it takes to complete a product or service from start to finish. By considering these factors, a production cell can achieve high efficiency, flexibility, and productivity.

The other options are not the most important considerations when designing a production cell. The unit per hour requirement for the production cell to meet the sales forecast is not the most important consideration, as it is a result of the demand planning and capacity planning functions, which are separate from the production cell design. The unit per hour requirement indicates how many units of a product or service the production cell needs to produce in an hour to meet the expected customer demand. The output rate for the first operation and move time after the last workstation are not the most important considerations, as they are only parts of the total cycle time calculation, which also includes the processing time and waiting time for each operation. The output rate for the first operation is the number of units that the first machine or workstation in the cell can produce in an hour. The move time after the last workstation is the time it takes to transport the finished product or service from the last machine or workstation in the cell to the next stage or destination. The take time requirement for each operator to meet the monthly production goals of the plant is not the most important consideration, as it is a measure of labor productivity, which is affected by factors such as skill, training, motivation, and supervision. The take time requirement for each operator is the amount of time that an operator needs to complete one unit of a product or service. References: CPIM Exam Content Manual Version 7.0, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.2: Detailed Scheduling Methods, p. 38; Cellular manufacturing; Production Cell.

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

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