{"title":"A Novel Assembly Sequence Design Mechanism for Assembly Sequence Planning","authors":"Nan Zhang, Zhen-yu Liu, Chan Qiu, Jianrong Tan","doi":"10.1109/ICIEA49774.2020.9102101","DOIUrl":null,"url":null,"abstract":"Assembly sequence planning is a combinatorial optimization problem and plays a vital role in assembly process. In this article, a novel and simple sequence design mechanism is proposed to deal with assembly sequence planning problem. The proposed method combines assembly subset detection method with the characteristic of assembly sequence and uses precedence constraints to guarantee the feasibility of the assembly sequence. The method is compared with different popular metaheuristic algorithms and is verified to be successful in obtaining the optimal assembly sequence for complex assembly products.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA49774.2020.9102101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Assembly sequence planning is a combinatorial optimization problem and plays a vital role in assembly process. In this article, a novel and simple sequence design mechanism is proposed to deal with assembly sequence planning problem. The proposed method combines assembly subset detection method with the characteristic of assembly sequence and uses precedence constraints to guarantee the feasibility of the assembly sequence. The method is compared with different popular metaheuristic algorithms and is verified to be successful in obtaining the optimal assembly sequence for complex assembly products.