Title: Model-based decision support for supply chains

Authors: Subhashini Ganapathy, S. Narayanan, Krishnamurthy Srinivasan

Addresses: Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, 207 Russ Engineering Center, Dayton, OH 45324, USA. ' Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, 207 Russ Engineering Center, Dayton, OH 45324, USA. ' Digital Enterprise Group, Intel Corporation, Chandler, AZ 85226, USA

Abstract: Advances in software algorithms, and operations research methods provide the opportunity for effectively modelling decentralised decision making in large-scale systems operating in dynamic, uncertain environments. Computer models typically contain software abstractions with an excellent mapping to real-world entities that can be rapidly assembled and used for predicting system performance under a variety of alternative situations. This paper outlines fundamental issues in modelling and human-centred decision making and presents an interactive system that follows the philosophy of mixed-initiative collaboration where human decision makers and automated agents work together in achieving high joint performance in the context of a supply chain system.

Keywords: decision support systems; DSS; interactive modelling; supply chain management; SCM; simulation modelling; decision making; supply chain performance; agent-based systems; multi-agent systems; software agents.

DOI: 10.1504/IJSPM.2006.012646

International Journal of Simulation and Process Modelling, 2006 Vol.2 No.3/4, pp.188 - 197

Published online: 05 Mar 2007 *

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