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Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain

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  • Chuansheng Wang
  • Zixian Guo
  • Fulei Shi
  • Mingyue Chen
  • Xinyu Wang
  • Jia Liu

Abstract

In response to increasingly complex social emergencies, this study realizes the optimization of logistics information flow and resource allocation by constructing the Emergency logistics information Traceability model (ELITM-CBT) based on alliance blockchain technology. Using the decentralized, data immutable and transparent characteristics of alliance blockchain technology, this research breaks through the limitations of traditional emergency logistics models and improves the accuracy and efficiency of information management. Combined with the hybrid genetic simulated Annealing algorithm (HGASA), the improved model shows significant advantages in emergency logistics scenarios, especially in terms of total transportation time, total cost, and fairness of resource allocation. The simulation results verify the high efficiency of the model in terms of timeliness of emergency response and accuracy of resource allocation, and provide innovative theoretical support and practical scheme for the field of emergency logistics. Future research will explore more efficient consensus mechanisms, and combine big data and artificial intelligence technology to further improve the performance and adaptability of emergency logistics systems.

Suggested Citation

  • Chuansheng Wang & Zixian Guo & Fulei Shi & Mingyue Chen & Xinyu Wang & Jia Liu, 2024. "Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-17, May.
    • Handle: RePEc:plo:pone00:0303143
    DOI: 10.1371/journal.pone.0303143
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    References listed on IDEAS

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    1. Luan-Thanh Nguyen & Duc-Thai Nguyen & Khanh Nhu- Nguyen Ngoc & Dang Thi Viet Duc, 2023. "Blockchain adoption in logistics companies in Ho Chi Minh City, Vietnam," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2216436-221, December.
    2. Changhua Liao & Qihui Lu & Ying Shui, 2022. "Governmental Anti-Pandemic and Subsidy Strategies for Blockchain-Enabled Food Supply Chains in the Post-Pandemic Era," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    3. Mohammed Balfaqih & Zain Balfagih & Miltiadis D. Lytras & Khaled Mofawiz Alfawaz & Abdulrahman A. Alshdadi & Eesa Alsolami, 2023. "A Blockchain-Enabled IoT Logistics System for Efficient Tracking and Management of High-Price Shipments: A Resilient, Scalable and Sustainable Approach to Smart Cities," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    4. Yongqiang Zhao & Liwei Zhang, 2022. "An Advanced Study of Urban Emergency Medical Equipment Logistics Distribution for Different Levels of Urgency Demand," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
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