{"title":"Polynomial-time algorithms for single resource stochastic capacity expansion models with lost sales","authors":"M. Taghavi, Kai Huang, A. Golmohammadi","doi":"10.1080/03155986.2021.1971594","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"18 1","pages":"572 - 591"},"PeriodicalIF":1.1000,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infor","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/03155986.2021.1971594","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.