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

Providing a realistic basis for setting internal performance targets can be accomplished through benchmarking. Benchmarking is a process of comparing one’s own performance, processes, or practices with those of other organizations that are recognized as leaders or best in class in a specific area. Benchmarking can help identify gaps, strengths, weaknesses, opportunities, and threats in one’s own performance, as well as learn from the experiences and successes of others. Benchmarking can also help set realistic, achievable, and challenging goals and targets for improvement, based on external standards or benchmarks. Benchmarking can be done internally(within the same organization), externally (with other organizations in the same industry or sector), or functionally (with other organizations that perform similar functions or processes).

Beta testing is not a way of providing a realistic basis for setting internal performance targets. Beta testing is a stage of product development where a sample of potential users or customers test a product or service before it is released to the general public. Beta testing can help identify and fix any bugs, errors, or issues in the product or service, as well as collect feedback and suggestions for improvement. Beta testing can also help evaluate the usability, functionality, and quality of the product or service, as well as measure customer satisfaction and loyalty. Beta testing is not related to setting internal performance targets, as it is focused on the product or service, not the organization.

Breakthrough innovation is not a way of providing a realistic basis for setting internal performance targets. Breakthrough innovation is a type of innovation that creates significant value for customers and markets by introducing new products, services, or business models that are radically different from existing ones. Breakthrough innovation can help create competitive advantage, disrupt existing markets, or create new markets. Breakthrough innovation is not related to setting internal performance targets, as it is focused on the outcome, not the process.

Best practices are not a way of providing a realistic basis for setting internal performance targets. Best practices are methods or techniques that have been proven to be effective and efficient in achieving desired results or outcomes. Best practices can be derived from one’s own experience, research, or benchmarking. Best practices can help improve performance, quality, or productivity by adopting proven solutions or standards. Best practices are not related to setting internal performance targets, as they are focused on the implementation, not the measurement.

References := Benchmarking - Wikipedia, Benchmarking: Definition & Process | Study.com, What Is Benchmarking? Definition And Examples, What Is Beta Testing? Definition And Examples, What Is Breakthrough Innovation? Definition And Examples, What Are Best Practices? Definition And Examples

An effective single-sourcing relationship requires that the organizations must be mutually dependent. This means that both the customer and the supplier rely on each other for their success and benefit from the partnership. Mutual dependence can foster trust, collaboration, communication, innovation, and problem-solving between the parties. It can also reduce the risks of supply disruptions, quality issues, price fluctuations, and contract breaches. Mutual dependence can be achieved by aligning the goals, values, and strategies of the organizations, as well as by sharing information, resources, and risks. Demand for the customer’s products does not have to be stable for a single-sourcing relationship to work. In fact, single sourcing can help the customer cope with demand variability by ensuring a consistent supply of goods or services from the supplier. The supplier does not have to offer the lowest price per unit for a single-sourcing relationship to be effective. The customer may choose a single supplier based on other factors, such as quality, delivery, innovation, or reputation. The price per unit may not reflect the total cost of ownership, which includes other costs such as transportation, inventory, maintenance, and warranty. The organizations do not have to be located close to each other for a single-sourcing relationship to be successful. With advances in technology and logistics, distance is not a major barrier for communication and coordination between the customer and the supplier. Moreover, single sourcing can reduce the complexity of managing multiple suppliers across different locations. References := What Is Single Sourcing? (Plus Benefits and 7 Examples), Single Sourcing Vs Sole Sourcing Sourcing | CIPS, What Is Single Sourcing In Procurement And Why Is It Important?

 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

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.

The measurement that indicates there may be bias in the forecast model is the tracking signal. The tracking signal is a ratio of the cumulative forecast error to the mean absolute deviation (MAD). The cumulative forecast error is the sum of the differences between the forecasted and actual values over a period of time. The MAD is the average of the absolute values of the forecast errors. The tracking signal can help detect and measure the bias of a forecast model by comparing the magnitude and direction of the forecast errors. A positive tracking signal indicates that the forecast model is consistently over-forecasting, while a negative tracking signal indicates that the forecast model is consistently under-forecasting. A zero tracking signal indicates that there is no bias in the forecast model. A rule of thumb is that if the tracking signal exceeds a certain threshold, such as ±4, then there is a significant bias in the forecast model that needs to be corrected.

The other measurements do not indicate bias in the forecast model, but rather other aspects of the forecast accuracy or variability. The MAD is a measure of the average error or deviation of the forecast model from the actual values. The MAD does not indicate bias, as it does not consider thedirection or sign of the errors. A low MAD indicates a high accuracy of the forecast model, while a high MAD indicates a low accuracy of the forecast model.

The standard deviation is a measure of the dispersion or variation of the forecast errors around their mean. The standard deviation does not indicate bias, as it does not consider the direction or sign of the errors. A low standard deviation indicates a low variability or uncertainty of the forecast model, while a high standard deviation indicates a high variability or uncertainty of the forecast model.

The variance is a measure of the squared deviation or dispersion of the forecast errors around their mean. The variance does not indicate bias, as it does not consider the direction or sign of the errors. The variance is related to the standard deviation, as it is equal to the square of the standard deviation. A low variance indicates a low variability or uncertainty of the forecast model, while a high variance indicates a high variability or uncertainty of the forecast model.

References := Forecast KPI: RMSE, MAE, MAPE & Bias | Towards Data Science, A Critical Look at Measuring and Calculating Forecast Bias – Demand Planning, Forecast bias - Wikipedia