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Sustainable multi-depot emergency facilities location-routing problem with uncertain information

Author

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  • Zhang, Bo
  • Li, Hui
  • Li, Shengguo
  • Peng, Jin

Abstract

Emergency facilities location and vehicle routing are two of the most challenging issues in emergency logistics. This paper presents an exploration of the sustainable multi-depot emergency facilities location-routing problem with uncertain information. An uncertain multi-objective location-routing programming model is constructed for emergency response with consideration of travel time, emergency relief costs and carbon dioxide emissions via uncertainty theory. By implementing the main-objective method, the uncertain multi-objective model can be rebuilt as an uncertain single-objective optimization model. The properties of the model are discussed in the framework of uncertainty theory. A hybrid intelligent algorithm that integrates uncertain simulation and a genetic algorithm is designed to solve the proposed model. Finally, numerical examples are presented to illustrate the optimization ideas and the robustness and effectiveness of the proposed algorithm.

Suggested Citation

  • Zhang, Bo & Li, Hui & Li, Shengguo & Peng, Jin, 2018. "Sustainable multi-depot emergency facilities location-routing problem with uncertain information," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 506-520.
    • Handle: RePEc:eee:apmaco:v:333:y:2018:i:c:p:506-520
    DOI: 10.1016/j.amc.2018.03.071
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    4. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    5. Cong Wang & Zhongxiu Peng & Wenqing Xu, 2023. "Robust Bi-Level Optimization for Maritime Emergency Materials Distribution in Uncertain Decision-Making Environments," Mathematics, MDPI, vol. 11(19), pages 1-30, September.
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    7. Zhongxiu Peng & Cong Wang & Wenqing Xu & Jinsong Zhang, 2022. "Research on Location-Routing Problem of Maritime Emergency Materials Distribution Based on Bi-Level Programming," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    8. Maliheh Khorsi & Seyed Kamal Chaharsooghi & Ali Husseinzadeh Kashan & Ali Bozorgi-Amiri, 2021. "Pareto-based grouping meta-heuristic algorithm for humanitarian relief logistics with multistate network reliability," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 327-365, June.
    9. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    10. Ling Shen & Fengming Tao & Yuhe Shi & Ruiru Qin, 2019. "Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    11. Amin Aghalari & Darweesh Ehssan Salamah & Carlos Marino & Mohammad Marufuzzaman, 2023. "Electric vehicles fast charger location-routing problem under ambient temperature," Annals of Operations Research, Springer, vol. 324(1), pages 721-759, May.
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    14. M. Tadaros & A. Migdalas, 2022. "Bi- and multi-objective location routing problems: classification and literature review," Operational Research, Springer, vol. 22(5), pages 4641-4683, November.
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    16. Cao, Cejun & Liu, Yang & Tang, Ou & Gao, Xuehong, 2021. "A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains," International Journal of Production Economics, Elsevier, vol. 235(C).
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    18. Jian Zhou & Yujiao Jiang & Athanasios A. Pantelous & Weiwen Dai, 2023. "A systematic review of uncertainty theory with the use of scientometrical method," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 463-518, September.
    19. Shen, Jiayu, 2020. "An uncertain sustainable supply chain network," Applied Mathematics and Computation, Elsevier, vol. 378(C).

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