In this paper we develop a framework for the semiconductor manufacturing\nprocess, including front-end (fab) operations and backend (assembly/test)\noperations. We then propose a Quadratic Programming (QP) formulation for\nthe profit maximizing objective with flexible demand and price ranges (per\nproduct) and fab capacities. We demonstrate the model by applying it to a\ncase study that is based on a real-world (distorted) dataset and show how the\nsolution varies between a local optimization of a single fab (for minimum wafer\ncost) and a globally optimal solution for maximum profit of a network of\nfabs.
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