@inproceedings{268bcd0c6d1d4a268c50ad6e2e830225,
title = "Optimal forecasting technique in reducing supply chain amplification",
abstract = "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.",
keywords = "Bullwhip effect, Forecasting, Inventory control",
author = "Xun Wang and Jing Wang",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.235.362",
language = "英语",
isbn = "9783037855201",
series = "Applied Mechanics and Materials",
pages = "362--367",
booktitle = "Advances in Computing, Control and Industrial Engineering",
note = "2012 3rd International Conference on Computing, Control and Industrial Engineering, CCIE 2012 ; Conference date: 27-10-2012 Through 28-10-2012",
}