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Multi-Objective Vehicle Routing Problem for Waste Classification and Collection with Sustainable Concerns: The Case of Shanghai City

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Listed:
  • Jian Zhou

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Meixi Zhang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Sisi Wu

    (School of Management, Shanghai University, Shanghai 200444, China)

Abstract

With the promotion of an ecological civilization philosophy and a sustainable development strategy, solid waste classification and collection has become an emerging issue in China. Based on the three dimensions of sustainable development, namely economy, society, and environment, the route optimization model of waste collection and transportation is constructed. In order to solve the model aiming to maximize the benefits of sanitation companies under the constraints of workload balance, transportation cleanliness, and route changes due to cost factors, we combine the non-dominated sorting genetic algorithm III with simulated annealing. According to the characteristics of the problem, the probabilistic insertion method is incorporated to generate the initial solution, and the adaptive mutation operator is added to improve the population diversity. Finally, a real case in Xuhui District, Shanghai, a megacity taking the lead in 2019 in mandating a separated collection policy, is presented to verify the proposed model’s performance. The results provide a decision solution for dispatching the collection route of vehicles with some references for sanitary companies.

Suggested Citation

  • Jian Zhou & Meixi Zhang & Sisi Wu, 2022. "Multi-Objective Vehicle Routing Problem for Waste Classification and Collection with Sustainable Concerns: The Case of Shanghai City," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11498-:d:914250
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    References listed on IDEAS

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    1. Lehuédé, Fabien & Péton, Olivier & Tricoire, Fabien, 2020. "A lexicographic minimax approach to the vehicle routing problem with route balancing," European Journal of Operational Research, Elsevier, vol. 282(1), pages 129-147.
    2. Wang, Liwen & Zhao, Jane Zheng & Zhou, Kevin Zheng, 2018. "How do incentives motivate absorptive capacity development? The mediating role of employee learning and relational contingencies," Journal of Business Research, Elsevier, vol. 85(C), pages 226-237.
    3. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    4. JANSSENS, Jochen & VAN DEN BERGH, Joos & SÖRENSEN, Kenneth & CATTRYSSE, Dirk, 2014. "Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning," Working Papers 2014002, University of Antwerp, Faculty of Business and Economics.
    5. Zhang, Jianghua & Zhao, Yingxue & Xue, Weili & Li, Jin, 2015. "Vehicle routing problem with fuel consumption and carbon emission," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 234-242.
    6. Mancini, Simona & Gansterer, Margaretha & Hartl, Richard F., 2021. "The collaborative consistent vehicle routing problem with workload balance," European Journal of Operational Research, Elsevier, vol. 293(3), pages 955-965.
    7. Laura Delgado-Antequera & Manuel Laguna & Joaquín Pacheco & Rafael Caballero, 2020. "A bi-objective solution approach to a real-world waste collection problem," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(2), pages 183-194, February.
    8. Hailin Wu & Fengming Tao & Qingqing Qiao & Mengjun Zhang, 2020. "A Chance-Constrained Vehicle Routing Problem for Wet Waste Collection and Transportation Considering Carbon Emissions," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    9. Zare Mehrjerdi, Yahia & Nadizadeh, Ali, 2013. "Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands," European Journal of Operational Research, Elsevier, vol. 229(1), pages 75-84.
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