基于模糊逻辑和拍卖理论的跨境电子商务 (CBEC) 供应链管理优化
1Winchester School of Art, University of Southampton, Winchester, UK. Zgong9@126.com.
Scientific reports
|June 18, 2024
概括
本研究引入了一种用于电子商务销售预测和供应链优化,使用预测市场和机器学习的新方法. 这种方法增强了决策,提高了在线企业的效率.
科学领域:
- 业务分析 业务分析
- 运营研究 运营研究
- 电子商务 技术 技术 电子商务
背景情况:
- 电子商务与传统商业环境不同,它带来了动态挑战.
- 准确的销售预测对于电子商务的成功至关重要.
- 现有的方法可能无法完全解决在线零售的复杂性.
研究的目的:
- 为优化电子商务供应链管理 (CBEC) 提出一种新的方法.
- 通过预测市场和混合智能来提高销售预测的准确性.
- 改善在线零售商的资源配置和战略决策.
主要方法:
- 整合人类分析师和机器学习算法用于销售预测.
- 模糊逻辑和拍卖理论在供应链优化中的战略决策中的应用.
- 开发CBEC供应链管理的新框架.
主要成果:
- 与现有方法相比,拟议的方法表现出优越的性能.
- 实现的根平均平方误差 (RMSE) 为22.31和平均绝对误差 (MAE) 为18.76.
- 该框架可以提高供应链运营的效率和利能力.
结论:
- 这种新的方法为电子商务挑战提供了一个有希望的解决方案.
- 增强在线零售行业管理人员的决策能力.
- 在CBEC供应链效率和整体业务成功方面取得了显著的改善.
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