DocumentCode
393584
Title
Intuitive ordering to alleviate volatility in supply chain
Author
Mori, Ryoichi
Author_Institution
Yamatake Ind. Syst. Co. Ltd.., Yokohma, Japan
Volume
2
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
1368
Abstract
This paper addresses the detrimental effect of volatile phenomena caused by retailer speculative actions in a supply chain system. After attempting to simulate such phenomena with a multi-dimensional Kalman filter, a predictive ordering method to alleviate excessive inventory burden is proposed.
Keywords
adaptive Kalman filters; prediction theory; stock control; supply chain management; adaptable observation equation; intuitive ordering; inventory burden; multi-dimensional Kalman filter; predictive ordering method; retailer speculative actions; supply chain system; volatile phenomena; volatility alleviation; Automatic logic units; Drives; Economic forecasting; Equations; Human factors; Production systems; Propagation losses; Psychology; Supply chains; Waste materials;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195393
Filename
1195393
Link To Document