{"title":"A distributed spare parts warehouse allocation strategy for automobile industry chain based on parallel genetic algorithm","authors":"Rui Lv, Linfu Sun","doi":"10.1109/CCSSE.2016.7784395","DOIUrl":null,"url":null,"abstract":"Aimed at inventory allocation needs with timeliness and accuracy of distributed spare parts warehouses, a collaborative allocation model for spare parts is proposed. Based on an analysis of the characteristics and defects of the genetic algorithm, a distributed inventory allocation strategy based on the parallel genetic algorithm is proposed, and a coarse parallel genetic algorithm within the framework of MapReduce is realized. The proposed strategy and algorithm together reduce the heavy computation burden during the process of problem-solving which is based on the genetic algorithm. Effectiveness of the proposed strategy is verified based on the spare parts inventory data of providers on the automobile industry chain.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSE.2016.7784395","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
Aimed at inventory allocation needs with timeliness and accuracy of distributed spare parts warehouses, a collaborative allocation model for spare parts is proposed. Based on an analysis of the characteristics and defects of the genetic algorithm, a distributed inventory allocation strategy based on the parallel genetic algorithm is proposed, and a coarse parallel genetic algorithm within the framework of MapReduce is realized. The proposed strategy and algorithm together reduce the heavy computation burden during the process of problem-solving which is based on the genetic algorithm. Effectiveness of the proposed strategy is verified based on the spare parts inventory data of providers on the automobile industry chain.
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