A Quadratic Goal Programming Model and Sensitivity Analysis for Semiconductor Supply Chain

As semiconductor supply chain becomes widespread and the competition pressure is very fierce, the detrimental effects of increasing varieties and variations are magnified in the supply chain. Conventional modeling techniques are no longer effective for supply chain configuration. Therefore, we first build up the empirical model to describe the relationship between supply-chain configuration and metrics under the influence of the variability sources. Secondly, an optimal supply chain configuration model is formulated as a quadratic goal programming model to accommodate different goal objectives. Finally, an efficient sensitivity analysis methodology is developed to find out the range of feasibility. Our results show that our proposed model can easily be adapted to the practices in semiconductor supply chain.