NDLI: Intelligent use of delayed information in the supply chain by artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Chienwen Wu
Copyright Year	1999
Description	Author affiliation: Dept. of Ind. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan (Chienwen Wu)
Abstract	In global and large distributed systems, it is very important to exchange information correctly and efficiently. The supply chain is one such example. However, because of the high communication cost and the long network delay, information may be delayed and thus incorrect. Delayed information will affect the quality of decision making and the productivity of the system. An artificial neural network approach has been adopted in many forecasting applications and has proved to be very useful. We propose an artificial neural network approach for predicting the correct information from the delayed information in the supply chain. In this approach, a multilayer feedforward network trained by standard backpropagation is employed to realize the relationship between the delayed information and the correct information. To demonstrate the effectiveness of this approach, a simplified supply chain system is simulated and the effects of delayed demand information are examined. We compare our approach with the no-prediction approach and the perfect-prediction approach. Experiments show that our approach outperforms the no-prediction approach. Our approach exhibits comparable performance to the perfect-prediction approach when there is a small delay.
Starting Page	66
Ending Page	70
File Size	399542
Page Count	5
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.825209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Artificial intelligence Supply chains Artificial neural networks Delay Costs Decision making Productivity Multi-layer neural network Backpropagation
Content Type	Text
Resource Type	Article

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