供应链资源调度优化国际贸易中的电子商务企业基于移动边缘计算的优化
Qingxia Dong1, Nana Chen1, Shuai Wang2
1Shandong Vocational and Technical University of International Studies, Rizhao, Shandong, China.
PeerJ. Computer science
|June 22, 2023
概括
这项研究利用遗传算法和移动边缘计算优化跨境电子商务供应链网络 (CBESCN). 这种方法有效地减少了任务执行的延迟和国际贸易物流的节点计算成本.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 计算机科学 计算机科学
背景情况:
- 跨境电子商务供应链网络 (CBESCN) 面临着由于地理范围,贸易壁垒和复杂物流的重大挑战.
- 物联网 (IoT) 的整合为优化这些网络提供了机会.
研究的目的:
- 在物联网框架内解决CBESCN的运营优化挑战.
- 为国际电子商务供应链开发一个资源安排模型.
主要方法:
- 使用遗传算法来构建和解决资源调度模型.
- 实施了一个移动边缘计算 (MEC) 优化方案,涉及部分计算卸载.
- 资源分配和卸载比率根据服务器计算能力和任务要求进行动态调整.
主要成果:
- 拟议的优化方案有效地利用供应链资源来完成计算任务.
- 实现了总任务执行延迟的显著减少.
- 节点计算资源的消耗明显减少.
结论:
- 时间延迟和成本调整策略提高了跨境电子商务供应链的整体能力.
- 开发的优化方案为管理CBESCN资源和提高绩效提供了有效的解决方案.
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