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在供应网络流动的随机模型中的关键需求
Yannick Feld1, Marc Barthelemy1,2
1Institut de Physique Théorique, Université Paris-Saclay, CNRS, CEA, 91191 Gif-sur-Yvette, France.
Physical review letters
|June 18, 2025
概括
供应网络对于生产至关重要. 这项研究表明,缓冲库存使供应链拓变得至关重要,有利于广泛,短的网络而不是长,窄的网络,以改善材料流动.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 网络科学 网络科学
背景情况:
- 现代生产严重依赖复杂的供应网络.
- 这些网络的关键性质,特别是关于物质流和需求的关键性质,尚未得到充分理解.
- 现有的模型往往忽略了随机生产能力和缓冲库存的影响.
研究的目的:
- 开发一种分析物质流向供应网络中的根节点的随机模型.
- 研究网络拓和缓冲库存对关键需求的影响.
- 确定最佳的供应链结构,以提高弹性和效率.
主要方法:
- 开发一个包含随机生产能力的随机供应网络模型.
- 分析到中央 (根) 节点的材料流动力学.
- 广泛的数值模拟来检查关键需求值.
- 使用和不使用缓冲库存对网络行为进行比较分析.
主要成果:
- 没有缓冲库存,最小的生产能力决定了网络行为,使得拓无关紧要.
- 缓冲库存的存在引入了内存效应,使网络拓成为一个关键因素.
- 在供应网络内增加本地连接被证明是有益的.
- 数字模拟确定了一个关键需求点,即不满足的需求分歧.
结论:
- 缓冲库存从根本上改变了拓在供应网络性能中的作用.
- 最佳的供应链设计倾向于使用具有高局部连接性的宽,短网络,而不是长,窄的网络.
- 了解这些动态是提高生产系统弹性和效率的关键.
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