{"title":"有限等待时间约束下动力电池编队生产调度问题研究","authors":"Ning Zhou, Menghan Wu, Jianxin Zhou","doi":"10.1109/iccsn.2018.8488247","DOIUrl":null,"url":null,"abstract":"The formation production scheduling problem of power battery is a combinatorial optimization problem with limited waiting time constraints. The time of waiting for the start of the formation processing is limited after power batteries completed the high temperature standby processing. In this paper, to minimize the makespan and the minimum number of changes to machines production parameters, we proposed a scheduling model with waiting time constraints and put forward a particle swarm optimization algorithm based on the formation production scheduling. The validity of the proposed model and the algorithm were verified by the example-based numerical simulation and comparison with the current scheduling methods which commonly used on the production line.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research On Power Battery Formation Production Scheduling Problem With Limited Waiting Time Constraints\",\"authors\":\"Ning Zhou, Menghan Wu, Jianxin Zhou\",\"doi\":\"10.1109/iccsn.2018.8488247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The formation production scheduling problem of power battery is a combinatorial optimization problem with limited waiting time constraints. The time of waiting for the start of the formation processing is limited after power batteries completed the high temperature standby processing. In this paper, to minimize the makespan and the minimum number of changes to machines production parameters, we proposed a scheduling model with waiting time constraints and put forward a particle swarm optimization algorithm based on the formation production scheduling. The validity of the proposed model and the algorithm were verified by the example-based numerical simulation and comparison with the current scheduling methods which commonly used on the production line.\",\"PeriodicalId\":243383,\"journal\":{\"name\":\"2018 10th International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccsn.2018.8488247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccsn.2018.8488247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research On Power Battery Formation Production Scheduling Problem With Limited Waiting Time Constraints
The formation production scheduling problem of power battery is a combinatorial optimization problem with limited waiting time constraints. The time of waiting for the start of the formation processing is limited after power batteries completed the high temperature standby processing. In this paper, to minimize the makespan and the minimum number of changes to machines production parameters, we proposed a scheduling model with waiting time constraints and put forward a particle swarm optimization algorithm based on the formation production scheduling. The validity of the proposed model and the algorithm were verified by the example-based numerical simulation and comparison with the current scheduling methods which commonly used on the production line.