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The demand for a product for the past 30 periods is shown below. Determine the reorder point, R, and order-up-to-level, S, for this product for the next 6 periods (periods 31-36). Use the following instructions/information.
Plot the demand data. What types of forecasting models would be appropriate for this demand pattern? The lead time is 2 periods. Use fixed ordering cost of $80/order and inventory holding cost of $1.75/unit/period. Forecast the demand for this product in Minitab using Double Exponential Smoothing with smoothing constants of ? = 0.20 and ? = 0.20 (use Minitab to generate forecasts). Calculate the standard deviation of the one-period-ahead forecast error using the most recent n=8 periods (use Minitab to generate one-period-ahead forecasts).
a) Determine the reorder points, R, and order-up-to-levels, S, for the next 6 periods using a probability of no stockout (Type-1 service) of 0.98.
b) Determine the reorder points, R, and order-up-to-levels, S, for the next 6 periods using a fill rate (Type-2 service) of 98%.
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Select an everyday product (personal fitness training, CDs, dog food, cell phones, shoes for example). Show how different versions of your product are aimed toward different market
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Sales of music stands at Johnny Ho music store in Columbus, Ohio, over the past 10 weeks are shown in the table below. a) Forecast demand for each week, including week 10, using
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