Solving a Location-Routing-Inventory Problem of Hazardeous Waste Collection Network Considering Domestic and Foreign Transportation Fleets | ||
| مطالعات مدیریت صنعتی | ||
| Volume 18, Issue 58, October 2020, Pages 215-245 PDF (1.69 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22054/jims.2019.44492.2346 | ||
| Authors | ||
| Neda Manavizadeh* 1; soroush aghamohamadi-bosjin2; Parisa Karimi-Ashtiani3 | ||
| 1Assistant professor, Department of Industrial Engineering, Khatam University, Tehran, Iran | ||
| 2Msc. Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
| 3Msc.Industrial Engineering, Department of Industrial Engineering, Khatam University, Tehran, Iran | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Hazardous Waste Management; Reverse Logistic; Location-Routing-Inventory; Multi-Objective Optimization; Metaheuristic Algorithms | ||
| References | ||
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