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Green Distribution Route Optimization of Medical Relief Supplies Based on Improved NSGA-II Algorithm under Dual-Uncertainty

Author

Listed:
  • Shuyue Peng

    (Department of Industrial Engineering, Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Qinming Liu

    (Department of Industrial Engineering, Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Jiarui Hu

    (Department of Industrial Engineering, Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

Abstract

With growing concerns about environmental issues, sustainable transport schemes are receiving more attention than ever before. Reducing pollutant emissions during vehicle driving is an essential way of achieving sustainable transport plans. To achieve sustainable transport and reduce carbon emissions, on the premise of ensuring rescue timeliness, this research proposes a multi-objective distribution route optimization model considering the minimization of transportation cost and transportation risk under dual-uncertainty constraints, providing a practical framework for determining the optimal location of rescue centers and distribution routes in emergencies using fuzzy theory. First, this paper proposes objective functions that innovatively take into account the congestion risk and accident risk during the distribution of medical supplies while introducing the carbon emission cost into the transportation cost and using the fuzzy demand for supplies and the fuzzy traffic flow on the roads as uncertainty constraints. Then, this paper designs a multi-strategy hybrid nondominated sorting genetic algorithm (MHNSGA-II) based on the original form to solve the model. MHNSGA-II adapts a two-stage real number coding method for chromosomes and optimizes the population initialization, crowding distances selection, and crossover and mutation probability calculation methods. The relevant case analysis demonstrates that, compared with the original NSGA-II, MHNSGA-II can decrease the transportation cost and transportation risk by 42.55% and 5.73%, respectively. The sensitivity analysis verifies the validity and rationality of the proposed model. The proposed framework can assist decision makers in emergency logistics rescue.

Suggested Citation

  • Shuyue Peng & Qinming Liu & Jiarui Hu, 2023. "Green Distribution Route Optimization of Medical Relief Supplies Based on Improved NSGA-II Algorithm under Dual-Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11939-:d:1209660
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    References listed on IDEAS

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    1. Charles Baah & Kate T. Amponsah & Kassimu Issau & Daniel Ofori & Innocent Senyo Kwasi Acquah & Douglas Opoku Agyeman, 2021. "Examining the Interconnections Between Sustainable Logistics Practices, Environmental Reputation and Financial Performance: A Mediation Approach," Vision, , vol. 25(1), pages 47-64, March.
    2. Zhou, Yawen & Liu, Jing & Zhang, Yutong & Gan, Xiaohui, 2017. "A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 77-95.
    3. Cook, Robert A. & Lodree, Emmett J., 2017. "Dispatching policies for last-mile distribution with stochastic supply and demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 353-371.
    4. Stephen Okyere & Jiaqi Yang & Charles Anum Adams, 2022. "Optimizing the Sustainable Multimodal Freight Transport and Logistics System Based on the Genetic Algorithm," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    5. Prima Denny Sentia & Syaimak Abdul Shukor & Amelia Natasya Abdul Wahab & Muriati Mukhtar, 2023. "Logistic distribution in humanitarian supply chain management: a thematic literature review and future research," Annals of Operations Research, Springer, vol. 323(1), pages 175-201, April.
    6. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    7. Merve Cengiz Toklu, 2023. "A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2241-2261, June.
    8. Hyeongjin Ahn & Eunil Park, 2022. "For sustainable development in the transportation sector: Determinants of acceptance of sustainable transportation using the innovation diffusion theory and technology acceptance model," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1169-1183, October.
    9. Juliana Castaneda & Elnaz Ghorbani & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2022. "Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends," Logistics, MDPI, vol. 6(3), pages 1-15, June.
    10. Weikang Fang & Zailin Guan & Peiyue Su & Dan Luo & Linshan Ding & Lei Yue, 2022. "Multi-Objective Material Logistics Planning with Discrete Split Deliveries Using a Hybrid NSGA-II Algorithm," Mathematics, MDPI, vol. 10(16), pages 1-30, August.
    11. Elifcan Göçmen & Rızvan Erol, 2018. "The Problem of Sustainable Intermodal Transportation: A Case Study of an International Logistics Company, Turkey," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
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    1. Weng Hoe Lam & Weng Siew Lam & Pei Fun Lee, 2024. "A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility," Mathematics, MDPI, vol. 12(8), pages 1-22, April.

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