Title :
Intuitive ordering to alleviate volatility in supply chain
Author_Institution :
Yamatake Ind. Syst. Co. Ltd.., Yokohma, Japan
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;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195393
