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Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows

Author

Listed:
  • Wanting Zhang

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Ming Zeng

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Peng Guo

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Kun Wen

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Background: Improper disposal of urban medical waste is likely to cause a series of neglective impacts. Therefore, we have to consider how to improve the efficiency of urban medical waste recycling and lowering carbon emissions when facing disposal. Methods: This paper considers the multi-cycle medical waste recycling vehicle routing problem with time windows for preventing and reducing the risk of medical waste transportation. First, a mixed-integer linear programming model is formulated to minimize the total cost consisting of the vehicle dispatch cost and the transportation costs. In addition, an improved neighborhood search algorithm is designed for handling large-sized problems. In the algorithm, the initial solution is constructed using the Clarke–Wright algorithm in the first stage, and the variable neighborhood search algorithm with a simulated annealing strategy is introduced for exploring a better solution in the second stage. Results: The computational results demonstrate the performance of the suggested algorithm. In addition, the total cost of recycling in the periodic strategy is lower than with the single-cycle strategy. Conclusions: The proposed model and algorithm have the management improvement value of the studied medical waste recycling vehicle routing problem.

Suggested Citation

  • Wanting Zhang & Ming Zeng & Peng Guo & Kun Wen, 2022. "Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows," IJERPH, MDPI, vol. 19(19), pages 1-25, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12887-:d:936429
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    References listed on IDEAS

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    1. Mikkel M. Sigurd & Nina L. Ulstein & Bjørn Nygreen & David M. Ryan, 2005. "Ship Scheduling with Recurring Visits and Visit Separation Requirements," Springer Books, in: Guy Desaulniers & Jacques Desrosiers & Marius M. Solomon (ed.), Column Generation, chapter 0, pages 225-245, Springer.
    2. Yangkun Xia & Zhuo Fu & Sang-Bing Tsai & Jiangtao Wang, 2018. "A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective," IJERPH, MDPI, vol. 15(5), pages 1-12, May.
    3. Hailin Wu & Fengming Tao & Bo Yang, 2020. "Optimization of Vehicle Routing for Waste Collection and Transportation," IJERPH, MDPI, vol. 17(14), pages 1-26, July.
    4. A. L. Kok & C. M. Meyer & H. Kopfer & J. M. J. Schutten, 2010. "A Dynamic Programming Heuristic for the Vehicle Routing Problem with Time Windows and European Community Social Legislation," Transportation Science, INFORMS, vol. 44(4), pages 442-454, November.
    5. Racha El-Hajj & Rym Nesrine Guibadj & Aziz Moukrim & Mehdi Serairi, 2020. "A PSO based algorithm with an efficient optimal split procedure for the multiperiod vehicle routing problem with profit," Annals of Operations Research, Springer, vol. 291(1), pages 281-316, August.
    6. Zahra Pooranian & Mohammad Shojafar & Jemal H. Abawajy & Ajith Abraham, 2015. "An efficient meta-heuristic algorithm for grid computing," Journal of Combinatorial Optimization, Springer, vol. 30(3), pages 413-434, October.
    7. Nikzamir, Mohammad & Baradaran, Vahid, 2020. "A healthcare logistic network considering stochastic emission of contamination: Bi-objective model and solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    8. Roberto Cantu-Funes & M. Angélica Salazar-Aguilar & Vincent Boyer, 2018. "Multi-depot periodic vehicle routing problem with due dates and time windows," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(2), pages 296-306, February.
    9. J-F Cordeau & G Laporte & A Mercier, 2001. "A unified tabu search heuristic for vehicle routing problems with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 928-936, August.
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    Cited by:

    1. Shen, Liang & Xu, Xiang & Shao, Feng & Shao, Hu & Ge, Yanxin, 2024. "A multi-objective optimization model for medical waste recycling network design under uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).

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