Supply chain inventory strategies using fuzzy neural networks

DOI

10.2991/jcis.2006.285How to use a DOI?

Keywords

Fuzzy neural network, supply chain, inventory management

Abstract

In the fast-changing business environment, supply chains are affected by the production and inventory strategies, which influence the amount of information needed by the chains. The firms must therefore determine the best supply chain inventory strategies for their products. The lack of precise market demand and reliable supplier’s stock level makes it inappropriate to use the statistically-based inventory model to determine inventory strategies for the new product supply chain. This paper therefore presents a fuzzy neural network model to describe the uncertain market demand and supply reliability. By the joint replenishment and periodic review, we determine, under the consideration of long-term effect, the possible quantities of supply and customer’s demands in the multi-echelon acyclic network supply chain.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hui Wee
AU  - C. Edward Wang
AU  - J. C. Chen
AU  - K.-J. Wang
AU  - Y.-S. Lin
PY  - 2006/10
DA  - 2006/10
TI  - Supply chain inventory strategies using fuzzy neural networks
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.285
DO  - 10.2991/jcis.2006.285
ID  - Wee2006/10
ER  -