Transfer function analysis of forecasting induced bullwhip in supply chains

Transfer function analysis of forecasting induced bullwhip in supply chains

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Article ID: iaor200354
Country: Netherlands
Volume: 78
Issue: 2
Start Page Number: 133
End Page Number: 144
Publication Date: Jan 2002
Journal: International Journal of Production Economics
Authors: , , ,
Keywords: forecasting: applications
Abstract:

The present paper analyses the bullwhip problem generated by exponential smoothing algorithms in both ‘stand alone’ passing-on-orders mode, and within inventory controlled feedback systems. Results are predicted from transfer function analysis, and then confirmed by simulation via the Bullwhip Explorer supply chain software. A novel feature of the paper is the introduction of the ‘matched filter’ concept into the exponential smoothing algorithm. This adjusts the value of the smoothing constant depending on whether the Constant, Linear, or Quadratic forecasting model is used. It is shown that matching the filter via noise bandwidth equalises the output variance when the demand is a random signal. Hence some of the unwanted effects of using the Linear and Quadratic forecasting models are attenuated. However, there is little benefit obtained by using sophisticated forecasting methods within inventory controlled feedback systems as their tracking ability is reduced.

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