优化全道零售战略,考虑客户细分
1Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, China.
Evaluation review
|April 11, 2025
概括
这项研究引入了一种强大的两阶段方法,让全道零售商利用从商店出货的策略来优化库存和履行. 该方法通过动态管理分销和商店选择来提高效率和利能力.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 零售物流 零售物流 零售物流
背景情况:
- 传统的物流模式往往忽视了消费者的动态分布及其对库存管理的影响.
- 全道零售商面临着关于库存补充,分配和订单履行的复杂决策.
研究的目的:
- 为全道零售商开发一个优化模型,整合出货从商店战略.
- 改善库存平衡和基于消费者分布模式的商店选择.
- 在多期销售计划中提高履行效率.
主要方法:
- 一个多周期随机优化模型使用强大的两阶段方法 (RTA) 解决.
- 为了最佳地确定商店号码 (第一阶段),K-means算法和轮系数.
- 线性决策规则 (LDR) 用于补充,分配和履行决策 (第二阶段).
主要成果:
- 与现有方法相比,RTA显示效率差距低于10%,即使在未满足的假设下.
- 灵敏度分析证实,尽管关键业务参数的变化,但从商店出货策略始终增加了利.
- 该模型有效地平衡库存,并优化商店选择,以提高履行.
结论:
- 拟议的RTA是全道零售优化的一种高度有效的方法.
- 整合出货店策略显著提高了利能力和运营效率.
- 该模型为复杂的零售环境中的动态库存和履行管理提供了强大的框架.
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