相关实验视频
Updated: Jul 13, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
在应急条件下,针对复杂产品供应链的联合持续时间-成本-质量优化模型.
这项研究使用灰色参数GERT网络增强了供应链分析,优化了紧急情况下复杂产品的持续时间,成本和质量. 它为更好的供应商选择和供应链管理提供了一个模型.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 复杂系统分析 复杂系统分析
背景情况:
- 复杂的产品供应链面临着变化的供应商数据 (持续时间,质量,成本) 和客户限制的挑战.
- 传统的模拟方法与这些供应链的不确定性和多目标性质作斗争,特别是在应急情况下.
研究的目的:
- 为复杂的产品供应链开发一个改进的模拟和分析方法.
- 构建一个持续时间-成本-质量模型,以优化在紧急情况下的供应链性能.
- 量化对持续时间,成本和质量的多目标要求.
主要方法:
- 使用图形评估和审查技术 (GERT) 和复杂的网络.
- 开发了一个灰色参数GERT网络,用于计算间隔值和客户限制.
- 构建了持续时间和成本的满足功能,以满足多目标要求.
- 在网络内优化指标参数,以实现更好的持续时间,成本和质量.
主要成果:
- 拟议的模型有效地分析了每个供应商的最佳持续时间,产品质量和产品成本.
- 主要制造商可以在各种应急情况下为复杂的产品供应链实现持续时间,成本和质量的优化组合.
- 该方法的科学有效性和有效性通过一个算术示例来验证.
结论:
- 开发的灰色参数GERT模型提供了一个强大的框架,用于分析和优化复杂的产品供应链在应急情景.
- 对于动态反管理系统,建议与数据共享和区块链技术进行集成,以提高供应链的可持续性和安全性.
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