订单批量大小:格子气体型模型的见解
Margarita Miguelina Mieras1, Tania Daiana Tobares1, Fabricio Orlando Sanchez-Varretti1
1San Rafael Regional Faculty, Institute of Applied Physics (INFAP), CONICET, National Technological University (UTN), Gral. Urquiza 314, San Rafael, Mendoza 5600, Argentina.
Entropy (Basel, Switzerland)
|August 28, 2025
概括
这项研究将统计物理格子气体模型应用于供应链订单批量大小. 这种新的框架使用物理原理来找到最佳的订单策略,并测量决策的稳定性.
科学领域:
- 统计物理与供应链管理之间的跨学科研究.
- 从统计力学到运营研究的格子气体模型的应用.
背景情况:
- 经典的订单批量测量通常使用确定性或启发式方法.
- 这些传统方法可能无法捕捉供应链决策的概率和动态性质.
研究的目的:
- 通过应用统计物理来解决订单大小问题,
- 开发一种用于确定供应链中最佳订单策略的新方法.
主要方法:
- 将库存决策映射到统计物理中的格子气体模型.
- 使用热力学潜力和自由能量最小化进行优化.
- 使用统计力学的分析工具.
主要成果:
- 开发了一种代表订单放置在格子上的粒子框架.
- 通过自由能功能最小化确定了最佳的排序策略.
- 引入了配置作为决策可变性和稳定性的衡量标准.
结论:
- 格子气体模型有效地捕捉了订单批量大小问题的关键特征.
- 该框架为优化供应链提供了坚实的理论基础.
- 建议扩展到多项系统和时间变化的需求.
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