Abdelhak Elidrissi, R. Benmansour, M. Benbrahim, D. Duvivier
{"title":"MIP formulations for identical parallel machine scheduling problem with single server","authors":"Abdelhak Elidrissi, R. Benmansour, M. Benbrahim, D. Duvivier","doi":"10.1109/ICOA.2018.8370596","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of scheduling a set of independent jobs on an arbitrary number of identical parallel machines with setup consideration and a makespan objective. The setup operations are performed by one available server. We propose two mixed integer programming (MIP) formulations to solve optimally this problem. The performance of each model is compared with another MIP proposed in the literature. It turns out that our formulation based on time-indexed variables outperforms the other models.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper considers the problem of scheduling a set of independent jobs on an arbitrary number of identical parallel machines with setup consideration and a makespan objective. The setup operations are performed by one available server. We propose two mixed integer programming (MIP) formulations to solve optimally this problem. The performance of each model is compared with another MIP proposed in the literature. It turns out that our formulation based on time-indexed variables outperforms the other models.