Optimizing Resource Acquisition Decisions by Stochastic Programming

This paper reports on the application of stochastic programming with recourse to strategic planning decisions regarding resource acquisition. A resource directed decomposition method, which simultaneously exploits stochastic programming and mixed integer programming model structures, is proposed. Computational experience with the method applied to fuel contract and plant construction decisions faced by an electric utility is presented.

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Year of publication:	1988
Authors:	Bienstock, Daniel ; Shapiro, Jeremy F.
Published in:	Management Science. - Institute for Operations Research and the Management Sciences - INFORMS, ISSN 0025-1909. - Vol. 34.1988, 2, p. 215-229
Publisher:	Institute for Operations Research and the Management Sciences - INFORMS
Subject:	stochastic programming \| mixed integer programming \| benders decomposition

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Extent:	application/pdf
Type of publication:	Article
Other identifiers:	10.1287/mnsc.34.2.215 [DOI]
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009197419