SUPPLY CHAIN MANAGEMENT I THUMBS UP FOR ANSWERS TO ALL 10 QUESTIONS 1. What role
ID: 392175 • Letter: S
Question
SUPPLY CHAIN MANAGEMENT I THUMBS UP FOR ANSWERS TO ALL 10 QUESTIONS
1. What role does forecasting play in the supply chain of a build-to-order server manufacturer such as Dell?
2. How could Apple use collaborative forecasting with its sup- pliers to improve its supply chain?
3. What role does forecasting play in the supply chain of a mail- order firm such as L.L. Bean?
4. What systematic and random components would you expect in demand for chocolates?
5. Why should a manager be suspicious if a forecaster claims to forecast historical demand without any forecast error?
6. Give examples of products that display seasonality of demand.
7. What is the problem if a manager uses last year’s sales data instead of last year’s demand to forecast demand for the com- ing year?
8. How do static and adaptive forecasting methods differ?
9. What information do the MSE, MAD, and MAPE provide to a manager? How can the manager use this information?
10. What information do the bias and TS provide to a manager? How can the manager use this information?
Explanation / Answer
1. Based on the demand forecast in the market, the producer will employ all the resources and make production plans. For all these supply chain plan play a vital role. It explains the required amount of goods, the time of requirement, the mode of transportaion, storing those materials etc. Even it is same for DELL, based on the market demand, they procure material, plan production schedules and use their logistics and supply chain more accurately.
4. The demand for chacolates were increased drastically in the recent times. The best method to estimate the demand for chacolates are, do the cencus calculation of child in respective market or nation, and based on the variation in child levels, the demand for chacolates varies in direct proportionate only.
5. there are many products go with seasonality, and the list is as follows:
8. under static method, the forecaster estimates of trend, level, seasonality etc, based on historical data and by using the same we estimate the demand for future.
where as in adaptive forecasting, we estimate the demand with help of an error component.
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