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ABSTRACT
The vehicle routing problem (VRP), in recent years, more than ever has been taken into consideration. This study has presented a multi-objective model and focused on the development of this mathematical structure in the field of optimal transfer of hazardous waste. Thus, the factors such as travel time, travel distance, travel risks, and economic aspects are considered, while these factors have rarely been studied, simultaneously. Another important feature in this problem is the flexibility of routes. This issue has a social effect on this model. This is something that has not yet been seen in other research. Then, the developed structure is solved with the help of two meta-heuristic algorithms. Finally, sensitivity analyses are performed to evaluate the proposed model and provide managerial insights. Also, the performance of metaheuristic algorithms are compared to see which one is able to solve the problem efficiency.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Elham Araee
Elham Araee is a master’s student in industrial engineering at Department of Industrial Engineering, Khatam University. She finished her bachelor of Science in applied mathematical at University of Khaje-Nasir University of Technology, Iran. Her interests include waste routing and optimization algorithms.
Neda Manavizadeh
Neda Manavizadeh accomplished her M.Sc. in industrial engineering at Collage of Engineering, University of Tehran (2003-2005). She obtained her Ph.D. in Industrial Eng. From Collage of Tehran (Start year: 2008). Currently, she is an Assistant Professor at Industrial Eng. Department, Khatam University, Tehran, Iran. Her research interests are the production planning, MMAL, supply chain management, opreations management and opreations research (OR).
Soroush Aghamohammadi Bosjin
Soroush Aghamohammadi Bosjin accomplished his M.Sc. in industrial engineering at Collage of Engineering, University of Tehran. He has published some ariticles in the area of scheduling, lot sizing and closed loop supply chain. His interests include supply chain management,optimization algorithms and dara.