Optimal Forecasting Technique in Reducing Supply Chain Amplification

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This paper investigates the optimal forecasting method in reducing supply chain amplification, a.k.a., the Bullwhip Effect. By using a simple replenishing policy and solving Stein Matrix Equations, the relationship between input and output covariance matrices is derived. Both analytical and simulational results support the opinion that proportional forecasting is superior in bullwhip mitigation. There exists trade-off in reducing variance amplifications in order and inventory. For different control objectives, we propose optimal proportional controllers.

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Periodical:

Edited by:

Yuning Zhong

Pages:

362-367

Citation:

X. Wang and J. Wang, "Optimal Forecasting Technique in Reducing Supply Chain Amplification", Applied Mechanics and Materials, Vol. 235, pp. 362-367, 2012

Online since:

November 2012

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$38.00

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