{"title":"基于混合启发式算法的智能物资配送动态优化方法","authors":"Cao Congcong, Li Yueyu, Wang Jiaojiao","doi":"10.1109/ICITM48982.2020.9080369","DOIUrl":null,"url":null,"abstract":"For the accuracy and timeliness of material distribution on the shop floor in uncertain environments, this paper constructs a dynamic material distribution method based on intelligent logistics technology under real-time monitoring of workshop. Based on the application of intelligent logistics technology, the real-time production progress monitored is taken as the basis to dynamically adjust the material delivery time window. A mathematical model is established to minimize the path cost, time window penalty cost and vehicle use cost, and a hybrid heuristic algorithm is designed to solve the problem. Finally, the effectiveness of the method is verified by an example of an automobile body production line. Compared with the traditional algorithm, the improved hybrid algorithm has more efficient optimization capability.","PeriodicalId":176979,"journal":{"name":"2020 9th International Conference on Industrial Technology and Management (ICITM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Dynamic Optimization Method of Intelligent Material Distribution Based on Hybrid Heuristic Algorithm\",\"authors\":\"Cao Congcong, Li Yueyu, Wang Jiaojiao\",\"doi\":\"10.1109/ICITM48982.2020.9080369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the accuracy and timeliness of material distribution on the shop floor in uncertain environments, this paper constructs a dynamic material distribution method based on intelligent logistics technology under real-time monitoring of workshop. Based on the application of intelligent logistics technology, the real-time production progress monitored is taken as the basis to dynamically adjust the material delivery time window. A mathematical model is established to minimize the path cost, time window penalty cost and vehicle use cost, and a hybrid heuristic algorithm is designed to solve the problem. Finally, the effectiveness of the method is verified by an example of an automobile body production line. Compared with the traditional algorithm, the improved hybrid algorithm has more efficient optimization capability.\",\"PeriodicalId\":176979,\"journal\":{\"name\":\"2020 9th International Conference on Industrial Technology and Management (ICITM)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 9th International Conference on Industrial Technology and Management (ICITM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITM48982.2020.9080369\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM48982.2020.9080369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Dynamic Optimization Method of Intelligent Material Distribution Based on Hybrid Heuristic Algorithm
For the accuracy and timeliness of material distribution on the shop floor in uncertain environments, this paper constructs a dynamic material distribution method based on intelligent logistics technology under real-time monitoring of workshop. Based on the application of intelligent logistics technology, the real-time production progress monitored is taken as the basis to dynamically adjust the material delivery time window. A mathematical model is established to minimize the path cost, time window penalty cost and vehicle use cost, and a hybrid heuristic algorithm is designed to solve the problem. Finally, the effectiveness of the method is verified by an example of an automobile body production line. Compared with the traditional algorithm, the improved hybrid algorithm has more efficient optimization capability.