{"title":"Buffer allocation, machine selection and preventive maintenance optimization in unreliable production lines","authors":"N. Nahas, M. Nourelfath","doi":"10.1109/IESM.2015.7380281","DOIUrl":null,"url":null,"abstract":"In this paper, we consider a serial production line consisting of n unreliable machines with n-1 buffers. The objective is to determine the optimal preventive maintenance policy, the optimal selection of machines and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. We assume that the mean time between failures (MTBF) of all machines will be increased when performing periodic preventive maintenance. An analytical decomposition-type approximation is used to estimate the production line throughput. The optimal design problem is formulated as a combinatorial optimization one where the decision variables are buffer levels, types of machines and times between preventive maintenance. To solve this problem, a Genetic algorithm is proposed. A numerical example is presented to illustrate the model.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESM.2015.7380281","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
In this paper, we consider a serial production line consisting of n unreliable machines with n-1 buffers. The objective is to determine the optimal preventive maintenance policy, the optimal selection of machines and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. We assume that the mean time between failures (MTBF) of all machines will be increased when performing periodic preventive maintenance. An analytical decomposition-type approximation is used to estimate the production line throughput. The optimal design problem is formulated as a combinatorial optimization one where the decision variables are buffer levels, types of machines and times between preventive maintenance. To solve this problem, a Genetic algorithm is proposed. A numerical example is presented to illustrate the model.