A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations
Since the implementation of China’s mandatory waste sorting policy, the recycling of kitchen waste has become one of the core tasks of waste classification. The problem of designing the locations and the optimization configuration strategy for kitchen waste transfer stations faces great challenges i...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/12/12/571 |
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| author | Ming Wan Ting Qu George Q. Huang Ruoheng Chen Manna Huang Yanghua Pan Duxian Nie Junrong Chen |
| author_facet | Ming Wan Ting Qu George Q. Huang Ruoheng Chen Manna Huang Yanghua Pan Duxian Nie Junrong Chen |
| author_sort | Ming Wan |
| collection | DOAJ |
| description | Since the implementation of China’s mandatory waste sorting policy, the recycling of kitchen waste has become one of the core tasks of waste classification. The problem of designing the locations and the optimization configuration strategy for kitchen waste transfer stations faces great challenges in reconstructing the municipal solid waste collection and transportation system. This paper establishes an integer programming model for the bi-objectives of the location and optimal configuration for a kitchen waste transfer station, with the goal of minimizing the total cost and overall negative environmental impact. An improved non-dominated sorting genetic algorithm with an elite strategy (NSGA-II) is used to solve the problem, resulting in a Pareto-optimal solution set that includes several non-dominated solutions, thereby providing diversified choices for decision-makers. Finally, a pilot case involving cooperative enterprises is used as an example in this study, and the results demonstrate the effectiveness of the model and algorithm, as well as their feasibility in practice. |
| format | Article |
| id | doaj-art-5fa64e7dfee2441ea908beee5dd81ee2 |
| institution | DOAJ |
| issn | 2079-8954 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-5fa64e7dfee2441ea908beee5dd81ee22025-08-20T02:56:55ZengMDPI AGSystems2079-89542024-12-01121257110.3390/systems12120571A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer StationsMing Wan0Ting Qu1George Q. Huang2Ruoheng Chen3Manna Huang4Yanghua Pan5Duxian Nie6Junrong Chen7School of Management, Jinan University, Guangzhou 510632, ChinaGuangdong International Cooperation Base of Science and Technology for GBA Smart Logistics, Jinan University, Zhuhai 519070, ChinaGuangdong International Cooperation Base of Science and Technology for GBA Smart Logistics, Jinan University, Zhuhai 519070, ChinaGuangdong International Cooperation Base of Science and Technology for GBA Smart Logistics, Jinan University, Zhuhai 519070, ChinaSchool of Management, Jinan University, Guangzhou 510632, ChinaGuangdong International Cooperation Base of Science and Technology for GBA Smart Logistics, Jinan University, Zhuhai 519070, ChinaCollege of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, ChinaZhuhai Top Cloud Tech Co., Ltd., Zhuhai 519070, ChinaSince the implementation of China’s mandatory waste sorting policy, the recycling of kitchen waste has become one of the core tasks of waste classification. The problem of designing the locations and the optimization configuration strategy for kitchen waste transfer stations faces great challenges in reconstructing the municipal solid waste collection and transportation system. This paper establishes an integer programming model for the bi-objectives of the location and optimal configuration for a kitchen waste transfer station, with the goal of minimizing the total cost and overall negative environmental impact. An improved non-dominated sorting genetic algorithm with an elite strategy (NSGA-II) is used to solve the problem, resulting in a Pareto-optimal solution set that includes several non-dominated solutions, thereby providing diversified choices for decision-makers. Finally, a pilot case involving cooperative enterprises is used as an example in this study, and the results demonstrate the effectiveness of the model and algorithm, as well as their feasibility in practice.https://www.mdpi.com/2079-8954/12/12/571kitchen wastelocation of transfer stationresource configuration optimizationbi-objective optimizationimproved NSGA-II |
| spellingShingle | Ming Wan Ting Qu George Q. Huang Ruoheng Chen Manna Huang Yanghua Pan Duxian Nie Junrong Chen A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations Systems kitchen waste location of transfer station resource configuration optimization bi-objective optimization improved NSGA-II |
| title | A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations |
| title_full | A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations |
| title_fullStr | A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations |
| title_full_unstemmed | A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations |
| title_short | A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations |
| title_sort | bi objective model for the location and optimization configuration of kitchen waste transfer stations |
| topic | kitchen waste location of transfer station resource configuration optimization bi-objective optimization improved NSGA-II |
| url | https://www.mdpi.com/2079-8954/12/12/571 |
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