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This method simply calculates the average of a number of expert estimates. Let E denote the number of experts, and mn,e denote the forecast of expert e, e =1, ... ,E, for SKU n 2N. Then the average experts' forecast mn for SKU n can be written as
This averaging method was applied by Fisher and Raman (1996), Fisher et al. (2000), who use panels of 7 and 4 experts, respectively. The use of an expert panel (also referred to as a buying committee) in forecasting has also been documented by Raman (1999), Mantrala and Rao (2001). Combining forecasts of experts increases accuracy, because inconsistencies of one expert tend to cancel out the inconsistencies of another (Blattberg and Hoch, 1990)
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In this paper, we propose new forecasting methods based on advance demand information, and perform a case study to compare them to existing ones based on advance demand information
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For a large set of SKUs and in two successive selling seasons, we have compared the accuracy of three quantitative forecasting methods based on advance (preview) demand information
Hello, can you help me to calculate the Discount rate and Internal Rate of Return?
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