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

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

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

 Capable-to-promise (CTP) is a method of order promising that considers both material and capacity availability. CTP is more appropriate than available-to-promise (ATP), which only considers material availability, in environments where the production process is complex, customized, or resource-intensive, and where the demand is uncertain or variable. CTP can provide more accurate and realistic delivery dates, as well as optimize the use of resources and reduce inventory costs.

Among the options given, specialty chemicals packaged and shipped to order is the most suitable environment for CTP. This is because specialty chemicals are often produced in small batches or on demand, according to the specific requirements and preferences of each customer. Therefore, the production process requires high flexibility and customization, as well as careful coordination of materials and capacity. The demand for specialty chemicals may also vary depending on the market conditions and customer needs. CTP can help the company to promise delivery dates that take into account the availability of both materials and capacity, as well as the production lead time and transportation time.

The other options are less suitable for CTP, as they are more likely to use standard or mass production processes, where the products are made in large quantities or in advance, and where the demand is more stable or predictable. In these environments, ATP may be sufficient to promise delivery dates based on material availability alone, without considering capacity constraints.

References : What is a Capable-to-Promise System (CTP System … - Techopedia; Order promising - Supply Chain Management | Dynamics 365; Capable to Promise (CTP) (MRP and Supply Chain Planning Help) - Oracle; Calculate sales order delivery dates using CTP - Supply Chain ….

Activity-based costing (ABC) is a method of allocating costs to products or services based on the activities that consume resources in the production or delivery process. ABC identifies the cost drivers, which are the factors that cause or influence the amount of resources used for each activity. ABC then assigns costs to products or services based on the amount of cost drivers they use. An advantage of ABC is that it uses cost drivers to allocate costs to products, which provides a more accurate and realistic picture of the cost structure and profitability of each product or service. ABC helps to identify the value-added and non-value-added activities, and to eliminate or reduce the waste and inefficiency in the process. ABC does not allow raw material costs to be allocated on a per unit basis, as raw material costs are usually considered as direct costs that can be traced to each product or service. ABC does not make it easier to establish standard costs, which are the predetermined or expected costs of producing or delivering a product or service. ABC does not enable overhead costs to be allocated evenly across all products, as overhead costs are the indirect costs that cannot be traced to each product or service. ABC allocates overhead costs based on the cost drivers, which may vary for different products or services. References: CPIM Exam Content Manual Version 7.0, Domain 8: Manage Quality, Continuous Improvement, and Technology, Section 8.2: Continuous Improvement Concepts, p. 46; Activity-Based Costing (ABC) Definition; Activity-based costing.

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