Towards a Methodology for Monitoring and Analyzing the Supply Chain Behavior
Reinaldo Moraga (Northern Illinois University, USA), Luis Rabelo (University of Central Florida, USA) and Alfonso Sarmiento (University of Central Florida, USA)
Copyright: © 2008
In this chapter, the authors present general steps towards a methodology that contributes to the advancement of prediction and mitigation of undesirable supply chain behavior within short- and long- term horizons by promoting a better understanding of the structure that determines the behavior modes. Through the integration of tools such as system dynamics, neural networks, eigenvalue analysis, and sensitivity analysis, this methodology (1) captures the dynamics of the supply chain, (2) detects changes and predicts the behavior based on these changes, and (3) defines needed modifications to mitigate the unwanted behaviors and performance. In the following sections, some background information is given from literature, the general steps of the proposed methodology are discussed, and finally a case study is briefly summarized.