Tiening Wang, Shuangshuang Yu, Ning Li, Shengliang Xu, Chao Yun, Qinqin Wang
{"title":"设备维修物资协调分配模型与方法","authors":"Tiening Wang, Shuangshuang Yu, Ning Li, Shengliang Xu, Chao Yun, Qinqin Wang","doi":"10.1109/ICACI.2016.7449798","DOIUrl":null,"url":null,"abstract":"As to solve the shortcomings such as waste of resources, high cost of support, low support efficiency as a result of the over-stocked materiel and under-stocked materiel existing in equipment maintenance materiel storage support, the coordinative allocation was put forward to alleviate the problem of imbalanced resource storage, in which the over-stocked materiel was well used to satisfy the units lack of materiel. Based on three targets such as support cost, support time and materiel utilization ratio, the multi-objective optimization decision-making model of equipment maintenance materiel coordinative allocation was established, and simplified to a single-objective model adopting constraint method; the improved particle swarm optimization algorithm was designed based on guiding factor to solve the model, and verified through simulation experiment. The result shows that through coordinative allocation the storage resources in the support system can be balanced effectively and the support efficiency of equipment maintenance materiel is enhanced as well.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coordinative allocation model and method of equipment maintenance materiel\",\"authors\":\"Tiening Wang, Shuangshuang Yu, Ning Li, Shengliang Xu, Chao Yun, Qinqin Wang\",\"doi\":\"10.1109/ICACI.2016.7449798\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As to solve the shortcomings such as waste of resources, high cost of support, low support efficiency as a result of the over-stocked materiel and under-stocked materiel existing in equipment maintenance materiel storage support, the coordinative allocation was put forward to alleviate the problem of imbalanced resource storage, in which the over-stocked materiel was well used to satisfy the units lack of materiel. Based on three targets such as support cost, support time and materiel utilization ratio, the multi-objective optimization decision-making model of equipment maintenance materiel coordinative allocation was established, and simplified to a single-objective model adopting constraint method; the improved particle swarm optimization algorithm was designed based on guiding factor to solve the model, and verified through simulation experiment. The result shows that through coordinative allocation the storage resources in the support system can be balanced effectively and the support efficiency of equipment maintenance materiel is enhanced as well.\",\"PeriodicalId\":211040,\"journal\":{\"name\":\"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2016.7449798\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2016.7449798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coordinative allocation model and method of equipment maintenance materiel
As to solve the shortcomings such as waste of resources, high cost of support, low support efficiency as a result of the over-stocked materiel and under-stocked materiel existing in equipment maintenance materiel storage support, the coordinative allocation was put forward to alleviate the problem of imbalanced resource storage, in which the over-stocked materiel was well used to satisfy the units lack of materiel. Based on three targets such as support cost, support time and materiel utilization ratio, the multi-objective optimization decision-making model of equipment maintenance materiel coordinative allocation was established, and simplified to a single-objective model adopting constraint method; the improved particle swarm optimization algorithm was designed based on guiding factor to solve the model, and verified through simulation experiment. The result shows that through coordinative allocation the storage resources in the support system can be balanced effectively and the support efficiency of equipment maintenance materiel is enhanced as well.