{"title":"城市冷链物流车辆路径优化模型","authors":"Chaofan Wang, Song Yu","doi":"10.7763/ijmo.2022.v13.804","DOIUrl":null,"url":null,"abstract":"In the present study, we construct an improved vehicle routing problem with simultaneous delivery and pick-up model to reduce unnecessary waste and cost in urban cold-chain logistics distribution. This model considers real-time outside temperature during distribution and optimizes the total cost of transportation, cargo damage and refrigeration. The model is solved using a genetic algorithm to determine the distribution path with the optimal cost. Finally, the validity of the model and the effectiveness of the algorithm are numerically tested.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Optimization Model for Vehicle Routing in Urban Cold-Chain Logistics\",\"authors\":\"Chaofan Wang, Song Yu\",\"doi\":\"10.7763/ijmo.2022.v13.804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present study, we construct an improved vehicle routing problem with simultaneous delivery and pick-up model to reduce unnecessary waste and cost in urban cold-chain logistics distribution. This model considers real-time outside temperature during distribution and optimizes the total cost of transportation, cargo damage and refrigeration. The model is solved using a genetic algorithm to determine the distribution path with the optimal cost. Finally, the validity of the model and the effectiveness of the algorithm are numerically tested.\",\"PeriodicalId\":134487,\"journal\":{\"name\":\"International Journal of Modeling and Optimization\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Modeling and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7763/ijmo.2022.v13.804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modeling and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/ijmo.2022.v13.804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimization Model for Vehicle Routing in Urban Cold-Chain Logistics
In the present study, we construct an improved vehicle routing problem with simultaneous delivery and pick-up model to reduce unnecessary waste and cost in urban cold-chain logistics distribution. This model considers real-time outside temperature during distribution and optimizes the total cost of transportation, cargo damage and refrigeration. The model is solved using a genetic algorithm to determine the distribution path with the optimal cost. Finally, the validity of the model and the effectiveness of the algorithm are numerically tested.
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