Decision support for supply chain analysis

High-fidelity computer models and simulations are very useful in design as well as ongoing systems management of many complex, real world, dynamic systems. Although there have been several studies on simulating aspects of supply chain systems, there is a dearth of high-fidelity models that represent supply chain interactions at a detailed level that includes the incorporation of real-time information updates. This article presents a computational platform that features a decision support system that aids human in making decisions and studies the role of a decision support system in enhancing the performance of the supply chain system. The decision support system follows the philosophy of mixed-initiative collaboration where human decision makers and automated agents work together in achieving high joint performance in the context modeled.