Coordinating strategic capacity planning in the semiconductor industry

Coordinating strategic capacity planning in the semiconductor industry

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Article ID: iaor20073183
Country: United States
Volume: 51
Issue: 6
Start Page Number: 839
End Page Number: 849
Publication Date: Nov 2003
Journal: Operations Research
Authors: ,
Keywords: production, programming: probabilistic
Abstract:

We study strategic capacity planning in the semiconductor industry. Working with a major US semiconductor manufacturer on the configuration of their worldwide production facilities, we identify two unique characteristics of this problem as follows: (1) wafer demands and manufacturing capacity are both main sources of uncertainty, and (2) capacity planning must consider the distinct viewpoints from marketing and manufacturing. We formulate a multi-stage stochastic program with demand and capacity uncertainties. To reconcile the marketing and manufacturing perspectives, we consider a decomposition of the planning problem resembling decentralized decision-making. We develop recourse approximation schemes representing different decentralization schemes, which vary in information requirements and complexity. We show that it is possible to arrive at near optimal solutions (within 6.5%) with information decentralization while using a fraction (16.2%) of the computer time.

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