Material management in decentralized supply chains
Operations Research
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Simulation with Arena
Analysis of a customer demand driven semiconductor supply chain in a distributed simulation test bed
WSC '04 Proceedings of the 36th conference on Winter simulation
Modeling and analysis of a generic cross-docking facility
WSC '05 Proceedings of the 37th conference on Winter simulation
A distributed simulation approach for modeling and analyzing systems of systems
Proceedings of the 38th conference on Winter simulation
Proceedings of the 40th Conference on Winter Simulation
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In this paper, a three-echelon supply chain model is analyzed to determine strategies to reduce the supply chain system dynamics. Uniqueness of this research stems from the use of multiple models with varying degrees of detail representing the same supply chain. The significance of a detailed supply chain model on the quality of result is made clear. Factors employed to build an abstract to a detailed model include: transportation and production delay, demand at the retailer, and production and transportation capacity. It is shown that the system dynamics itself varies with increasing detail in the model. In addition, it is examined to see if a strategy found effective in improving the system dynamics with an abstract model is effective with a detailed model. It is established that the strategy found to be the most effective on an abstract model is not always the best strategy for the real supply chain.