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Journal article

Polynomial-time algorithms for single resource stochastic capacity expansion models with lost sales

Abstract

In this paper, we consider multi-period single resource stochastic capacity expansion problems with lost sales. We study two models. The first model does not consider fixed-charge for capacity purchases, while the second one incorporates fixed-charges. We use multi-stage stochastic integer programs to present both models and show how adding the fixed-charge cost changes the structure of the mathematical models. For both models, we study their structures and design polynomial-time algorithms to solve them. We present computational results to show the performance of the designed algorithms.

Authors

Taghavi M; Huang K; Golmohammadi A

Journal

INFOR Information Systems and Operational Research, Vol. 59, No. 4, pp. 572–591

Publisher

Taylor & Francis

Publication Date

November 2, 2021

DOI

10.1080/03155986.2021.1971594

ISSN

0315-5986

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