BOTTLENECK BASED MODELING OF SEMICONDUCTOR SUPPLY CHAINS

Supply chain planning is critical in semiconductor manufacturing with its expensive production facilities, expensive inventory and usually expensive logistics. Simulation provides a powerful technique to study supply chain dynamics and evaluate options for supply chain planning and control. However, detailed simulation models of semiconductor supply chain can be computationally quite intensive. One promising approach to reduce the computational and data collection effort for supply chain simulation is to model based on bottleneck stages in the process. This paper compares supply chain simulation results achieved using detailed modeling with those achieved using bottleneck based models. The results show that, subject to careful selection of bottleneck stages, bottleneck modeling provides quite close results to that of detailed modeling.

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