{"title":"基于人工蜂群算法和多智能体系统的绿色逆向物流网络优化——以医疗垃圾为例","authors":"Sara Elliazidi, B. Dkhissi","doi":"10.1109/GOL49479.2020.9314763","DOIUrl":null,"url":null,"abstract":"Green logistics network refers to a green closed-loop supply chain(GCLSC), this network includes regular and reverse supply chain, and with the Growing of environmental concerns, the decision makers was enforced to improve the strategy of operating their supply chains by improving both economic objectives and environmental impacts, Nowadays the medical waste management become one of the important issues that attracts scientists, because of the potential environmental risks that can be generated by the mishandled of the medical waste. In this model we aim to optimize: (i) the reverse cost of the network including, collecting, processing, recycling of medical waste and transportation between each level (ii) the environmental emissions generated by the whole system, using artificial bee colony Algorithm hybrid multi-agent system","PeriodicalId":393729,"journal":{"name":"International Conference on Logistics Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimization of green reverse logistics network Integrating artificial bee colony Algorithm and multi-agent system: case of medical waste\",\"authors\":\"Sara Elliazidi, B. Dkhissi\",\"doi\":\"10.1109/GOL49479.2020.9314763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Green logistics network refers to a green closed-loop supply chain(GCLSC), this network includes regular and reverse supply chain, and with the Growing of environmental concerns, the decision makers was enforced to improve the strategy of operating their supply chains by improving both economic objectives and environmental impacts, Nowadays the medical waste management become one of the important issues that attracts scientists, because of the potential environmental risks that can be generated by the mishandled of the medical waste. In this model we aim to optimize: (i) the reverse cost of the network including, collecting, processing, recycling of medical waste and transportation between each level (ii) the environmental emissions generated by the whole system, using artificial bee colony Algorithm hybrid multi-agent system\",\"PeriodicalId\":393729,\"journal\":{\"name\":\"International Conference on Logistics Operations Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Logistics Operations Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GOL49479.2020.9314763\",\"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 Conference on Logistics Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GOL49479.2020.9314763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of green reverse logistics network Integrating artificial bee colony Algorithm and multi-agent system: case of medical waste
Green logistics network refers to a green closed-loop supply chain(GCLSC), this network includes regular and reverse supply chain, and with the Growing of environmental concerns, the decision makers was enforced to improve the strategy of operating their supply chains by improving both economic objectives and environmental impacts, Nowadays the medical waste management become one of the important issues that attracts scientists, because of the potential environmental risks that can be generated by the mishandled of the medical waste. In this model we aim to optimize: (i) the reverse cost of the network including, collecting, processing, recycling of medical waste and transportation between each level (ii) the environmental emissions generated by the whole system, using artificial bee colony Algorithm hybrid multi-agent system