Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets
This paper proposes a bi-objective model for the waste collection problem and considers the location, routing and inventory of the system simultaneously. Considering the reverse flow of the system is another feature of the current study. In the proposed model, the total costs of the system are minim...
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| Format: | Article |
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Allameh Tabataba'i University Press
2020-09-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_11468_95a2972500469c9c6073499608bb1029.pdf |
| _version_ | 1797367676671098880 |
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| author | Neda Manavizadeh soroush aghamohamadi-bosjin Parisa Karimi-Ashtiani |
| author_facet | Neda Manavizadeh soroush aghamohamadi-bosjin Parisa Karimi-Ashtiani |
| author_sort | Neda Manavizadeh |
| collection | DOAJ |
| description | This paper proposes a bi-objective model for the waste collection problem and considers the location, routing and inventory of the system simultaneously. Considering the reverse flow of the system is another feature of the current study. In the proposed model, the total costs of the system are minimized. In addition, the related risks of opening new centers and transportaion are included as the second objective function of the problem. Considering the delivery time and cpacity of vehicels constraints, are the other features of the model. Due to the NP-hardness of the model, two metaheuristic algorithms namely a non dominated sort ordering genetic algorithm (NSGA-II) and a multi objective particle swarm optimization algorithm (MOPSO) are applied to solve the problem. According to the results, NSGA-II is able to reach better answers in all the propsed metrics. According to sesitivity analysis, foreign transportation fleets make a great impact on the costs of the system. |
| first_indexed | 2024-03-08T17:20:43Z |
| format | Article |
| id | doaj.art-541cf32ea07745478cb2e0a98e9a4f67 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:20:43Z |
| publishDate | 2020-09-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-541cf32ea07745478cb2e0a98e9a4f672024-01-03T04:45:46ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2020-09-01185821524510.22054/jims.2019.44492.234611468Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation FleetsNeda Manavizadeh0soroush aghamohamadi-bosjin1Parisa Karimi-Ashtiani2Assistant professor, Department of Industrial Engineering, Khatam University, Tehran, IranMsc. Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranMsc.Industrial Engineering, Department of Industrial Engineering, Khatam University, Tehran, IranThis paper proposes a bi-objective model for the waste collection problem and considers the location, routing and inventory of the system simultaneously. Considering the reverse flow of the system is another feature of the current study. In the proposed model, the total costs of the system are minimized. In addition, the related risks of opening new centers and transportaion are included as the second objective function of the problem. Considering the delivery time and cpacity of vehicels constraints, are the other features of the model. Due to the NP-hardness of the model, two metaheuristic algorithms namely a non dominated sort ordering genetic algorithm (NSGA-II) and a multi objective particle swarm optimization algorithm (MOPSO) are applied to solve the problem. According to the results, NSGA-II is able to reach better answers in all the propsed metrics. According to sesitivity analysis, foreign transportation fleets make a great impact on the costs of the system.https://jims.atu.ac.ir/article_11468_95a2972500469c9c6073499608bb1029.pdfhazardous waste managementreverse logisticlocation-routing-inventorymulti-objective optimizationmetaheuristic algorithms |
| spellingShingle | Neda Manavizadeh soroush aghamohamadi-bosjin Parisa Karimi-Ashtiani Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī hazardous waste management reverse logistic location-routing-inventory multi-objective optimization metaheuristic algorithms |
| title | Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets |
| title_full | Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets |
| title_fullStr | Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets |
| title_full_unstemmed | Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets |
| title_short | Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets |
| title_sort | solving a location routing inventory problem of hazardeous waste collection network considering domestic and foreign transportation fleets |
| topic | hazardous waste management reverse logistic location-routing-inventory multi-objective optimization metaheuristic algorithms |
| url | https://jims.atu.ac.ir/article_11468_95a2972500469c9c6073499608bb1029.pdf |
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