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Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering

Author

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  • J.H. Ruan
  • X.P. Wang
  • F.T.S. Chan
  • Y. Shi

Abstract

In this paper, we are concerned with the problem of the ‘helicopters and vehicles’ intermodal transportation of medical supplies in response to large-scale disasters. To deal with the disadvantages of the use of classic Fuzzy C-Means (FCM) in the intermodal transportation optimization, two balanced FCM methods, i.e. FCM with capacity constraints and FCM with number constraints, are formulated to select emergency distribution centers (EDCs) and assign medical aid points, which could construct balanced ‘helicopters and vehicles’ intermodal transportation network. Then, considering helicopter travel time, transfer time and vehicle delivery time, a clustering-based intermodal routes optimization model is presented to produce intermodal transportation routes. Numerical experiments are presented to show the effectiveness and advantage of the developed approach, and observe the impact of number of EDCs and transfer efficiency at EDCs on the performance of intermodal transportation. This paper could provide methodological and operational supports for the ‘helicopters and vehicles’ intermodal transportation of medical supplies in response to large-scale disasters.

Suggested Citation

  • J.H. Ruan & X.P. Wang & F.T.S. Chan & Y. Shi, 2016. "Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4368-4386, July.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:14:p:4368-4386
    DOI: 10.1080/00207543.2016.1174344
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    Cited by:

    1. Shi, Yong & Yang, Junhao & Han, Qian & Song, Hao & Guo, Haixiang, 2024. "Optimal decision-making of post-disaster emergency material scheduling based on helicopter–truck–drone collaboration," Omega, Elsevier, vol. 127(C).
    2. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao, 2019. "Reliability of a stochastic intermodal logistics network under spoilage and time considerations," Annals of Operations Research, Springer, vol. 277(1), pages 95-118, June.
    3. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao & Chih-Ching Yeh, 2017. "System reliability for a multistate intermodal logistics network with time windows," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1957-1969, April.
    4. Chen, Wanying (Amanda) & De Koster, René B.M. & Gong, Yeming, 2021. "Performance evaluation of automated medicine delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    5. Faraz Salehi & Masoud Mahootchi & Seyed Mohammad Moattar Husseini, 2019. "Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran," Annals of Operations Research, Springer, vol. 283(1), pages 679-703, December.
    6. Weiwei Chen & Maozeng Xu & Qingsong Xing & Ligang Cui & Liudan Jiao, 2020. "A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    7. Heng Wang & Zhenzhen Zhao & Zhiwei Guo & Zhenfeng Wang & Guangyin Xu, 2017. "An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning," Complexity, Hindawi, vol. 2017, pages 1-10, June.
    8. Pierpaolo D’Urso & María Ángeles Gil, 2017. "Fuzzy data analysis and classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 645-657, December.
    9. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
    10. Xu, Xinsheng & Wang, Hongwei & Dang, Chuangyin & Ji, Ping, 2017. "The loss-averse newsvendor model with backordering," International Journal of Production Economics, Elsevier, vol. 188(C), pages 1-10.
    11. Liu, Jie & Schonfeld, Paul M. & Shuai, Chunyan & He, Mingwei & Wang, Kelvin C.P., 2022. "The controllability of China’s high-speed rail network in terms of delivering emergency supplies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    12. Shima Taheri & Mohammad Tamannaei, 2023. "Integrated Multi-Level Intermodal Network Design Problem: A Sustainable Approach, Based on Competition of Rail and Road Transportation Systems," Networks and Spatial Economics, Springer, vol. 23(1), pages 1-37, March.
    13. Song, Zhuzhu & Tang, Wansheng & Zhao, Ruiqing, 2020. "A simple game theoretical analysis for incentivizing multi-modal transportation in freight supply chains," European Journal of Operational Research, Elsevier, vol. 283(1), pages 152-165.
    14. Huilin Li & Jiaqi Yang & Ziquan Xiang, 2022. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    15. Kar, Biswajit & Jenamani, Mamata, 2024. "Optimal multimodal multi-echelon vaccine distribution network design for low and medium-income countries with manufacturing infrastructure during healthcare emergencies," International Journal of Production Economics, Elsevier, vol. 273(C).
    16. Shao, Jianfang & Liang, Changyong & Liu, Yujia & Xu, Jian & Zhao, Shuping, 2021. "Relief demand forecasting based on intuitionistic fuzzy case-based reasoning," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    17. Junhu Ruan & Felix T. S. Chan & Xiaofeng Zhao, 2018. "Re-Planning the Intermodal Transportation of Emergency Medical Supplies with Updated Transfer Centers," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    18. Gaoke Wu & Bo Feng & Libin Guo, 2021. "Optimal Procurement Strategy for Supply Chain with Trade Credit and Backorder under CVaR Criterion," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    19. Meng, Lingpeng & Wang, Xudong & He, Junliang & Han, Chuanfeng & Hu, Shaolong, 2023. "A two-stage chance constrained stochastic programming model for emergency supply distribution considering dynamic uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    20. Wenfeng Wang & Xi Chen & Guiwei Zhang & Jing Qian & Peng Wei & Boqian Wu & Hongwei Zheng, 2018. "Precision Security: Integrating Video Surveillance with Surrounding Environment Changes," Complexity, Hindawi, vol. 2018, pages 1-10, February.
    21. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    22. Wei Song & Zhiya Chen & Xuping Wang & Qian Wang & Chenghua Shi & Wei Zhao, 2017. "Environmentally Friendly Supplier Selection Using Prospect Theory," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    23. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.

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