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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}

 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).

 Staging in a manual system corresponds to dispatching in a computer system. Staging is the process of preparing and moving materials or components to the point of use or consumption in a production system1. Staging can be done manually by workers who physically move the items from storage areas to workstations, or automatically by conveyors, robots, or other devices2. Dispatching is the process of authorizing and releasing work orders or tasks to the production system3. Dispatching can be done manually by supervisors who assign work to workers, or automatically by computer systems that use algorithms or rules to prioritize and schedule work4. Both staging and dispatching are functions that facilitate the flow of materials and information in a production system and ensure that the right items are available at the right time and place.

References: CPIM Part 2 Exam Content Manual, Domain 6: Plan, Manage, and Execute Detailed Schedules, Section 6.1: Detailed Scheduling Concepts and Tools, p. 75-76; Staging (manufacturing) - Wikipedia; Staging - an overview | ScienceDirect Topics; Dispatching - an overview | ScienceDirect Topics; Dispatching: Meaning, Objectives, Importance and Procedure.

Production activity control (PAC) is the function of managing the flow of materials and work-in-progress in a manufacturing system. PAC is responsible for executing the master production schedule and the material requirements plan, as well as for planning, implementing, and monitoring the production activities. PAC aims to ensure that the required resources are available, that the production orders are released and completed on time, and that the quality and quantity standards are met. A result of effective PAC is that the actual input/output matches the planned input/output. This means that the actual amount and timing of materials, labor, and machines used for production are consistent with the planned amount and timing. This indicates that the production process is efficient, reliable, and synchronized with the demand. This also helps to reduce inventory, lead time, and waste.

The other options are not necessarily results of effective PAC. Less scrap and rework on the shop floor may be a result of effective quality control, which is a separate function from PAC. Quality control is concerned with inspecting and testing the products or services to ensure that they meet the specifications and standards. Fewer machine hours are required for production may be a result of effective process improvement, which is a separate function from PAC. Process improvement is concerned with analyzing and enhancing the production methods and techniques to increase productivity and performance. Available capacity is increased may be a result of effective capacity planning, which is a separate function from PAC. Capacity planning is concerned with determining and adjusting the optimal level of resources needed to meet the demand. References: Production Activity Control - Tutorial; Production Control: Process, Types and Best Practices - ProjectManager; Production control - Wikipedia.

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

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

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

The results from responding to uncertainty in the supply chain by exaggerating lead times and increasing lot sizes is called the bullwhip effect. The bullwhip effect is a phenomenon that occurs when small changes in demand at the downstream end of the supply chain (such as retailers or customers) cause larger and larger fluctuations in demand at the upstream end of the supply chain (such as wholesalers, distributors, or manufacturers). The bullwhip effect can create inefficiencies, waste, and costs in the supply chain, as well as reduce customer satisfaction and profitability.

One of the causes of the bullwhip effect is the response to uncertainty in the supply chain by exaggerating lead times and increasing lot sizes. Lead time is the time between placing an order and receiving it from a supplier. Lot size is the quantity of units ordered or produced at a time. When there is uncertainty or variability in demand or supply, such as due to seasonality, promotions, disruptions, or forecasting errors, some supply chain members may try to cope by exaggerating lead times and increasing lot sizes. For example, a retailer may increase its safety stock or reorder point to avoid stockouts or delays, or a manufacturer may produce more than needed to take advantage of economies of scale or discounts. However, these actions can have unintended consequences, as they can distort the demand information and amplify the demand variability along the supply chain. This can result in excess inventory, low inventory turnover, high holding costs, poor service levels, lost sales, obsolete products, or capacity issues.

To prevent or reduce the bullwhip effect caused by responding to uncertainty in the supply chain by exaggerating lead times and increasing lot sizes, some possible solutions are:

Improving communication and collaboration among supply chain members to share accurate and timely demand information and forecasts.

Reducing lead times and lot sizes by using lean production techniques, just-in-time inventory systems, or quick response methods.

Implementing vendor-managed inventory (VMI) systems, where suppliers are responsible for managing and replenishing the inventory of their customers based on their actual consumption data.

Adopting advanced technologies, such as radio-frequency identification (RFID), artificial intelligence (AI), or blockchain, to enhance visibility, traceability, and coordination in the supply chain.

References := Bullwhip Effect: Meaning, Example, Impact - Investopedia, Bullwhip Effect - What Is It, Causes, Supply Chain, Examples, Bullwhip Effect: Example, Causes, and Impact on Supply Chain

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

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

An effective process to create meaningful change begins with identifying and discussing a past crisis, a potential crisis, or major opportunities. This step is important because it helps to create a sense of urgency and motivation for the change, as well as to clarify the vision and goals of the change1. A past crisis can be used as a learning opportunity to analyze what went wrong and how to prevent it from happening again. A potential crisis can be used as a warning signal to anticipate and prepare for the possible challenges and risks. A major opportunity can be used as a catalyst to seize the competitive advantage and create value for the organization and its stakeholders2.

The other options are not the best ways to start an effective process to create meaningful change. Reviewing financial outcomes and metrics over the last 4 quarters year-over-year may provide some insights into the performance and profitability of the organization, but it may not reveal the underlying causes or drivers of the change, or the future trends and scenarios that may affect the organization3. Refreshing corporate strategy to align with current marketplace realities for your industry may be a necessary step in the change process, but it may not be sufficient to generate buy-in and commitment from the people who are involved in or affected by the change4. Using consultants to provide in-depth analysis of current management opportunities may be a helpful way to obtain external perspectives and expertise, but it may not ensure that the change is aligned with the organization’s culture, values, and capabilities5.

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

Developing flexible operations is the best action that supports a company’s strategic focus on delivery speed to improve competitive advantage. Flexible operations are the ability to adapt to changes in customer demand, product mix, quality standards, and delivery schedules1. Flexible operations can help a company achieve faster delivery speed by enabling it to respond quickly and efficiently to fluctuations in the market, reduce lead times, optimize resource utilization, and avoid bottlenecks2. Flexible operations can also help a company gain a competitive edge by offering a wider variety of products or services, different volumes or quantities, and varying delivery dates to meet customer needs and expectations3.

Some examples of flexible operations are:

Volume flexibility: the ability to produce different quantities or volumes of output3

Delivery flexibility: the ability to change the timings or modes of delivery3

Product flexibility: the ability to produce different types or variants of products or services4

Process flexibility: the ability to use different methods or technologies to perform a process4

Resource flexibility: the ability to use different inputs or resources for a process4

Some strategies for developing flexible operations are:

Using modular design: designing products or services that consist of interchangeable components or modules that can be easily assembled or disassembled5

Implementing automation: using machines or software to perform tasks that would otherwise require human labor6

Adopting lean principles: eliminating waste and non-value-added activities from processes, such as overproduction, inventory, defects, waiting, transportation, motion, and overprocessing7

Applying agile methods: using iterative and incremental approaches to deliver products or services that meet changing customer requirements and feedback

Cross-training workers: training workers to perform multiple tasks or roles within a process or organization

References: 1: Operations Flexibility Definition 2 2: Why flexibility is critical when planning an operations - KPMG 4 3: Performance Objectives - What Are the 5 Business Objectives? - PeopleGoal 1 4: Competitive Priorities in Operations with Examples - StudiousGuy 5 5: Modular Design Definition 6: Automation Definition 7: Lean Principles Definition : Agile Methodology Definition : Cross-training Definition

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.