{"title":"A study of resource constraint project scheduling problem for energy saving","authors":"T. Miyamoto, K. Mori, S. Kitamura, Y. Izui","doi":"10.1109/ICSSE.2014.6887897","DOIUrl":null,"url":null,"abstract":"In terms of energy consumption, the environment surrounding the manufacturing industries has become considerably strict. As a framework containing many production scheduling problems in manufacturing industries, a great deal of researches on the resource-constrained project scheduling problem (RCPSP) has been performed. We have proposed a RCPSP formulation called RCPSP/πRC, which can deal with realistic energy constraints such as power restriction during peak hours, contract demand, and energy consumption during the setup operations. In this paper, we evaluate RCPSP/πRC through computational experiments. The proposed method is compared with two heuristic rules. Results of computational experiments show the effectiveness of the proposed method.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2014.6887897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In terms of energy consumption, the environment surrounding the manufacturing industries has become considerably strict. As a framework containing many production scheduling problems in manufacturing industries, a great deal of researches on the resource-constrained project scheduling problem (RCPSP) has been performed. We have proposed a RCPSP formulation called RCPSP/πRC, which can deal with realistic energy constraints such as power restriction during peak hours, contract demand, and energy consumption during the setup operations. In this paper, we evaluate RCPSP/πRC through computational experiments. The proposed method is compared with two heuristic rules. Results of computational experiments show the effectiveness of the proposed method.