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Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Author

Listed:
  • Cejun Cao

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Congdong Li

    (College of Management and Economics, Tianjin University, Tianjin 300072, China
    School of Management, Jinan University, Guangzhou 510632, China)

  • Qin Yang

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Fanshun Zhang

    (School of Management, Jinan University, Guangzhou 510632, China)

Abstract

To mitigate or reduce various losses and improve efficiency of disaster response, the focus of this paper is to design optimized strategies of emergency organization allocation regarding sustainability. Firstly, an integrated framework including several elements such as emergency organization, task, decision-agents, environment and their relations is developed from a systematic perspective. Then, this problem is formulated as a novel multi-objective 0–1 integer programming model to minimize total weighted completion times, total carbon emissions and total emergency costs. Next, branch and bound approach and handling strategies for multiple objectives are designed to solve this model. Finally, a case study from the Wenchuan earthquake is presented to illustrate the proposed model and solution strategies. Computational results demonstrate their significant potential advantages on allocating emergency organization from the perspectives of best practice, objective functions, preferences of decision-agents, and problem size.

Suggested Citation

  • Cejun Cao & Congdong Li & Qin Yang & Fanshun Zhang, 2017. "Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain," Sustainability, MDPI, vol. 9(11), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2103-:d:119203
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    References listed on IDEAS

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    Cited by:

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    3. Bo-Young Heo & Ji Hyeon Park & Won-Ho Heo, 2018. "Sustainable Disaster and Safety Management of Government: Integrated Disaster and Safety Budget System in Korea," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    4. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    5. 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).
    6. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    7. Xin Zhang & Gang Zhao & Yingxiu Qi & Botang Li, 2019. "A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    8. Qin Yang & Jinfeng Liu & Xing Liu & Cejun Cao & Wei Zhang, 2019. "A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    9. Rajak, Sonu & Mathiyazhagan, K. & Agarwal, Vernika & Sivakumar, K. & Kumar, Vikas & Appolloni, Andrea, 2022. "Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID- 19 pandemic outbreak in India: A case study," Research in Transportation Economics, Elsevier, vol. 93(C).
    10. Yiping Huang & Qin Yang & Jinfeng Liu & Xiao Li & Jie Zhang, 2021. "Sustainable Scheduling of the Production in the Aluminum Furnace Hot Rolling Section with Uncertain Demand," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    11. Zhuang Wu & Chenjun Liu & Zhiying Yao & Yi Zhang, 2022. "Research on Optimizing the Location and Layout of National Emergency Material Reserve," Sustainability, MDPI, vol. 14(23), pages 1-13, November.

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