{"title":"Allocation efficiency optimization model of support equipment of materiel","authors":"Longkun An, B. Xiao, Jianlong Wu, Tiankun Liu","doi":"10.1109/ICRSE.2017.8030791","DOIUrl":null,"url":null,"abstract":"In view of the fact that there is no comprehensive evaluation parameter of support equipment allocation efficiency, in this paper, we had a comprehensive consideration of the mean logistic delay time and the annual consumption cost of support equipment, and analyzed and constructed the optimization model of allocation efficiency from the perspective of cost-effectiveness with the constraint of satisfaction and utilization rate of support equipment. An improved genetic algorithm was used to solve this model, finally, a set of optimal allocation concept of equipment was obtained.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In view of the fact that there is no comprehensive evaluation parameter of support equipment allocation efficiency, in this paper, we had a comprehensive consideration of the mean logistic delay time and the annual consumption cost of support equipment, and analyzed and constructed the optimization model of allocation efficiency from the perspective of cost-effectiveness with the constraint of satisfaction and utilization rate of support equipment. An improved genetic algorithm was used to solve this model, finally, a set of optimal allocation concept of equipment was obtained.