{"title":"固体废物中转站最优选址及最优运输方案识别的多目标模型","authors":"Otman Ait Ihia, D. Khomsi","doi":"10.1109/IRASET52964.2022.9737904","DOIUrl":null,"url":null,"abstract":"A multi-objective optimization model with binary variables is presented. This model can be used for the selection of the optimal solid waste transfer station locations and identifying an optimal transport scenario to minimize total cost, the number of vehicles required and greenhouse gas emissions generated by the transport of waste and providing information about the number, locations and capacities of operational transfer stations, the number of waste transport vehicles required, number of round trips and the road traffic generated in each waste transport trajectory. The model is programmed using Matlab and is applied to a hypothetical example. The model offers a graphical representation for the results of different possible transport scenarios verifying the conditions set to compare between them and choosing the desired scenario according to the user's interpretations of the results.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Objective Model for The Selection of The Optimal Solid Waste Transfer Station Locations and for The Identification of The Optimal Transport Scenario\",\"authors\":\"Otman Ait Ihia, D. Khomsi\",\"doi\":\"10.1109/IRASET52964.2022.9737904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-objective optimization model with binary variables is presented. This model can be used for the selection of the optimal solid waste transfer station locations and identifying an optimal transport scenario to minimize total cost, the number of vehicles required and greenhouse gas emissions generated by the transport of waste and providing information about the number, locations and capacities of operational transfer stations, the number of waste transport vehicles required, number of round trips and the road traffic generated in each waste transport trajectory. The model is programmed using Matlab and is applied to a hypothetical example. The model offers a graphical representation for the results of different possible transport scenarios verifying the conditions set to compare between them and choosing the desired scenario according to the user's interpretations of the results.\",\"PeriodicalId\":377115,\"journal\":{\"name\":\"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRASET52964.2022.9737904\",\"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 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET52964.2022.9737904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Objective Model for The Selection of The Optimal Solid Waste Transfer Station Locations and for The Identification of The Optimal Transport Scenario
A multi-objective optimization model with binary variables is presented. This model can be used for the selection of the optimal solid waste transfer station locations and identifying an optimal transport scenario to minimize total cost, the number of vehicles required and greenhouse gas emissions generated by the transport of waste and providing information about the number, locations and capacities of operational transfer stations, the number of waste transport vehicles required, number of round trips and the road traffic generated in each waste transport trajectory. The model is programmed using Matlab and is applied to a hypothetical example. The model offers a graphical representation for the results of different possible transport scenarios verifying the conditions set to compare between them and choosing the desired scenario according to the user's interpretations of the results.