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Global Optimization of a Semiconductor IC Supply Chain Network
Intel Qiriat-Gat and Ben-Gurion University, Beer-Sheva, Israel
University of California at Berkeley, Berkeley, CA, USA
- 1 Intel Qiriat-Gat and Ben-Gurion University, Beer-Sheva, Israel
- 2 University of California at Berkeley, Berkeley, CA, USA
Journal of Service Science and Management·Volume 10 (2017)·Pages 338–352·Published 4 May 2017·DOI10.4236/jssm.2017.103027
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Abstract
In this paper we develop a framework for the semiconductor manufacturing process, including front-end (fab) operations and backend (assembly/test) operations. We then propose a Quadratic Programming (QP) formulation for the profit maximizing objective with flexible demand and price ranges (per product) and fab capacities. We demonstrate the model by applying it to a case study that is based on a real-world (distorted) dataset and show how the solution varies between a local optimization of a single fab (for minimum wafer cost) and a globally optimal solution for maximum profit of a network of fabs.
KeywordsSupply Chain ManagementOptimizationNetwork Based ManufacturingNon-Linear ProgrammingQuadratic Programming
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