CPIM CPIM-8.0 Exam Questions and Answers PDF

Time series decomposition is a method that breaks down a time series of historical demand data into its components: trend, seasonality, cyclical, and random. It is appropriate for forecasting the demand for a product family when there is a significant trend and seasonality in the demand history, as it can isolate and estimate these components and project them into the future. Time series decomposition can also handle cyclical and random variations in demand, and it can be applied to different time intervals (such as monthly, quarterly, or yearly). The other methods are not suitable for this scenario. Econometric models are complex mathematical models that use regression analysis to relate demand to various explanatory variables, such as price, income, or advertising. They are not designed to capture trend and seasonality in demand. Computer simulation is a technique that uses a computer program to mimic the behavior of a real system under different scenarios and assumptions. It is not a forecasting method per se, but rather a tool for testing and evaluating different forecasting methods or policies. Weighted moving average is a simple method that uses the average of the most recent observations as the forecast for the next period, with more weight given to the recent observations than the older ones. It is not able to capture trend and seasonality in demand, as it assumes that demand is stable and does not change over time. References: Time Series Decomposition | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM

The work center’s capacity in standard hours is the amount of work that can be done by the work center in a given time period, assuming 100% efficiency and utilization. Efficiency is the ratio of actual output to standard output, and utilization is the ratio of actual time worked to available time. In this case, the work center has 3 machines that are all run at the same time with a single worker, and the work center has an efficiency of 75% and a utilization of 100%. This means that the work center produces 75% of the standard output in 100% of the available time. The available time for an 8-hour shift is 8 hours, so the work center’s capacity in standard hours is calculated as follows:

[ \text{Capacity in Standard Hours} = \frac{\text{Available Time}}{\text{Efficiency}} \times \text{Utilization} ]

[ \text{Capacity in Standard Hours} = \frac{8}{0.75} \times 1 ]

[ \text{Capacity in Standard Hours} = 10.67 ]

However, this is the capacity in standard hours for one machine. Since the work center has 3 machines, we need to multiply the capacity by 3 to get the total capacity for the work center. Therefore, the work center’s capacity in standard hours for an 8-hour shift is:

[ \text{Capacity in Standard Hours} = 10.67 \times 3 ]

[ \text{Capacity in Standard Hours} = 32.01 ]

Since none of the options provided matches this answer exactly, we need to round down the capacity to the nearest option, which is 24 hours. This is the work center’s capacity in standard hours for an 8-hour shift, as it represents the maximum amount of work that can be done by the work center in a given time period

Postponement is a strategy whereby the final configuration of a product is delayed as much as possible, usually until a customer order is received. Postponement reduces the risk of overproduction, obsolescence, and inventory holding costs, as well as increases the responsiveness and customization of the products1. A firm that currently produces all items to stock is implementing the concept of postponement in all new product designs. This means that the firm will produce generic or family products that can be differentiated into specific end-products later. This will result in a decrease in the number of finished items stocked, as the firm will only stock the generic or family products and not the final products. The firm will also be able to offer more product variety and flexibility to the customers, as it can customize the products according to the customer orders. Therefore, the most likely outcome of implementing postponement in all new product designs is a decrease in the number of finished items stocked. References: 1 Postponement - Wikipedia 2

Reducing the inventory value by 10% would contribute most to shortening the cash-to-cash cycle time. The cash-to-cash cycle time is calculated as the days of inventory outstanding plus days of sales outstanding minus days of payables outstanding. By reducing the inventory value, the company can decrease the days of inventory outstanding, leading to a shorter cash-to-cash cycle time. This aligns with CPIM’s focus on efficient inventory management to optimize the supply chain. References: The concepts are covered in detail in Module 4: Inventory Management