{"title":"考虑刀具劣化的拆解线平衡问题离散候鸟优化算法","authors":"Jiaxin Wang, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, Ying Tang","doi":"10.1109/ICNSC55942.2022.10004124","DOIUrl":null,"url":null,"abstract":"The issue of resource shortage has received much attention in recent years. Recycling end-of-life (EOL) products is conducive to alleviating the issue as well protecting the environment. In a practical disassembly process, the disassembly time of EOL products is affected by many factors. In this paper, we address the impact of tool deterioration on disassembly time. A disassembly line balancing model with a goal to maximize disassembly profit is established. In addition, we use a migratory bird optimizer to solve the problem. The feasibility and superiority of the algorithm are verified by comparing it with the salp swarm algorithm.","PeriodicalId":230499,"journal":{"name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discrete Migratory Bird Optimizer for Disassembly Line Balancing Problem Considering Tool Deterioration\",\"authors\":\"Jiaxin Wang, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, Ying Tang\",\"doi\":\"10.1109/ICNSC55942.2022.10004124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The issue of resource shortage has received much attention in recent years. Recycling end-of-life (EOL) products is conducive to alleviating the issue as well protecting the environment. In a practical disassembly process, the disassembly time of EOL products is affected by many factors. In this paper, we address the impact of tool deterioration on disassembly time. A disassembly line balancing model with a goal to maximize disassembly profit is established. In addition, we use a migratory bird optimizer to solve the problem. The feasibility and superiority of the algorithm are verified by comparing it with the salp swarm algorithm.\",\"PeriodicalId\":230499,\"journal\":{\"name\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC55942.2022.10004124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC55942.2022.10004124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discrete Migratory Bird Optimizer for Disassembly Line Balancing Problem Considering Tool Deterioration
The issue of resource shortage has received much attention in recent years. Recycling end-of-life (EOL) products is conducive to alleviating the issue as well protecting the environment. In a practical disassembly process, the disassembly time of EOL products is affected by many factors. In this paper, we address the impact of tool deterioration on disassembly time. A disassembly line balancing model with a goal to maximize disassembly profit is established. In addition, we use a migratory bird optimizer to solve the problem. The feasibility and superiority of the algorithm are verified by comparing it with the salp swarm algorithm.