Pattern Recognition in Supply Chain Management

Full Citation
Rabelo, L., Helal, M., Sepulveda, J. 2005. Pattern recognition in supply chain management. in Liu, Y., Chen, G., Ying, M. (Eds.): Fuzzy Logic, Soft computing, and Computational Intelligence, pp 1961-1735, Springer, Tsinghua University Press, Beijing, China

Abstract
This paper introduces a methodology to recognize patterns of behavior and optimize the supply chain. System Dynamics is used to model the supply chain. Neural Networks are utilized to detect the changes at a very early stage and predict their impact. Then, decomposition, linearization, and eigenvalue analysis are used to apply and make modifications to the information and materials flows to avoid any undesirable expected behavior.
Keywords: Supply chain behavior, system dynamics, eigenvalue analysis, neural networks, pattern recognition