{"title":"Proposing a model for operating room scheduling based on fuzzy surgical duration","authors":"B. Lahijanian, M. Zarandi, F. Farahani","doi":"10.1109/NAFIPS.2016.7851627","DOIUrl":null,"url":null,"abstract":"Planning and scheduling of the operating rooms play an undeniable role in providing appropriate services in hospitals. In this paper, a mixed-integer programming model for scheduling the operating rooms is presented in which elective patients are investigated. This model seeks to minimize the total weighted start times. Considering such as issue, three age groups are used for the weighting calculation. The setup times for this group of patients are sequence-dependent and the duration of surgical operation are analyzed through fuzzy logic. The proposed model is solved using a hybrid algorithm. The obtained results show that considering the duration of surgical operation as fuzzy numbers are in accordance with more reality. Furthermore, these fuzzy numbers lead to reaching the final solution in a shorter time.","PeriodicalId":208265,"journal":{"name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2016.7851627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Planning and scheduling of the operating rooms play an undeniable role in providing appropriate services in hospitals. In this paper, a mixed-integer programming model for scheduling the operating rooms is presented in which elective patients are investigated. This model seeks to minimize the total weighted start times. Considering such as issue, three age groups are used for the weighting calculation. The setup times for this group of patients are sequence-dependent and the duration of surgical operation are analyzed through fuzzy logic. The proposed model is solved using a hybrid algorithm. The obtained results show that considering the duration of surgical operation as fuzzy numbers are in accordance with more reality. Furthermore, these fuzzy numbers lead to reaching the final solution in a shorter time.