基于联盟区块链的紧急物流信息可追溯模型和资源优化分配策略的研究
Chuansheng Wang1, Zixian Guo1,2, Fulei Shi1
1School of Management Engineering, Capital University of Economics and Business, Beijing, China.
PloS one
|May 20, 2024
概括
本研究介绍了一种使用区块链的紧急物流信息可追溯模型 (ELITM-CBT),用于在紧急情况下优化资源配置和信息流. 该模型大大减少了运输时间和成本,提高了应急响应效率.
科学领域:
- 物流管理物流管理
- 信息系统信息系统信息系统
- 供应链优化 供应链优化
背景情况:
- 越来越复杂的社会紧急情况需要先进的物流解决方案.
- 传统的应急物流模式在信息管理和资源分配方面存在局限性.
- 在应对危机时,需要透明,不变和高效的数据处理是至关重要的.
研究的目的:
- 优化紧急物流信息流和资源分配.
- 开发一个新的紧急物流信息可追溯模型 (ELITM-CBT),利用联盟区块链技术.
- 提高在紧急情况下信息管理的准确性和效率.
主要方法:
- 在联盟区块链基础上构建紧急物流信息可追溯模型 (ELITM-CBT).
- 利用区块链技术的分散,不变和透明的特点.
- 集成与混合基因模拟化算法 (HGASA) 进行优化.
主要成果:
- 根据ELITM-CBT模型,在紧急物流方面取得了重大改进.
- 观察到的关键优势是减少总运输时间和总成本.
- 提高资源分配的公平性,提高信息管理的准确性.
- 模拟结果验证了应急响应及时性和资源分配准确性的高效率.
结论:
- 该ELITM-CBT模型提供了创新的理论支持和紧急物流的实际方案.
- 该研究强调了区块链技术在克服传统物流局限性的有效性.
- 未来的研究方向包括探索先进的共识机制,并整合大数据和人工智能.
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