期刊
OPERATIONS RESEARCH
卷 51, 期 6, 页码 839-849出版社
INFORMS
DOI: 10.1287/opre.51.6.839.24917
关键词
facilities/equipment planning, capacity expansion : strategic capacity planning programming/stochastic : scenario analysis, recourse approximation; production, planning : decentralized coordination
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 recource 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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