|Title||Robust supply-chain planning using multi-resolution hybrid models: Experimental study|
|Publication Type||Journal Article|
|Year of Publication||2009|
|Authors||Venkateswaran, J, Son, Y-J|
|Journal||International Journal of Modelling and Simulation|
|Keywords||Conceptual frameworks, Decision models, Distributed decision, Distributed simulation, Experimental studies, Global performance, High level architecture, Hybrid model, Hybrid sensors, Integrated analysis, Multi-resolutions, Multiscales, Operational aspects, Simulation, Supply chain, System theory, Three-echelon|
Today, there is little understanding of how decisions and disturbances at individual members impact the global performance and robustness of a supply chain. The goal of our research has been to analyse the interactions between the planning decisions that are spread across different members of the supply chain, considering the operational aspects at each member as well as the robustness of the plan. To this end, we had proposed a conceptual framework earlier, which involve a multi-scale federation of interwoven simulations and decision models to support integrated analysis of stability and performance in hierarchical supply chain planning. In this paper, it is further developed, fully implemented, and demonstrated via extensive experiments involving a realistic three-echelon conjoined supply chain system. A high level architecture (HLA) is used to integrate the distributed decision and simulation models. For the considered supply chains, various hybrid models have been successfully developed conforming to the framework, and experimental results revealed the advantage of our framework in robust supply chain planning.