通过考虑弹性,稳定性,风险和环境要求来设计反脆弱,可持续和敏捷的供应链网络
Reza Lotfi1, Mojtaba Sadreddini Mehrjardi2, Pedram MohajerAnsari3
1Department of Industrial Engineering, Yazd University, Yazd, Iran, and Behineh Gostar Sanaye Arman, Tehran, Iran. reza.lotfi.ieng@gmail.com.
Environmental science and pollution research international
|September 21, 2023
概括
本研究介绍了一种抗脆弱,可持续和敏捷的供应链网络设计 (ASASCND),可以将成本降低0.3%. 通过整合学习效应和环境考虑,ASASCND模型提高了供应链的弹性和可持续性.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 可持续性科学 可持续性科学
背景情况:
- 传统的供应链设计往往缺乏对干扰的稳定性,并且未能整合可持续性.
- 人们越来越需要有弹性,灵活和抗脆弱的供应链模型来应对不断变化的风险和环境问题.
研究的目的:
- 提出一种新的反脆弱,可持续和敏捷的供应链网络设计 (ASASCND).
- 将防脆弱性,可持续性,弹性和敏捷性的概念整合到一个统一的供应链网络设计模型中.
- 使用强大的随机优化和值风险 (EVaR) 来优化供应链成本函数.
主要方法:
- 开发一个成本函数,将预期值,最大值和成本的EVaR结合起来.
- 通过对可变参数的学习效应来整合抗脆弱性.
- 通过考虑环境和社会问题,纳入可持续性.
- 通过灵活的容量和多种资源限制,整合弹性和灵活性.
主要成果:
- 与没有防脆弱性的模型相比,ASASCND模型显示成本降低了0.3%.
- 增加的保守系数导致成本函数的增加.
- 抗脆弱性和信心水平对成本函数产生了积极影响,而敏捷性系数则对成本函数产生了负面影响.
- 模型规模的扩展影响了成本和计算时间,原因是因抗脆弱性驱动的变量成本的变化.
结论:
- 拟议的ASASCND模型为成本效益提供了显著的改善,并整合了现代供应链要求的关键方面.
- 管理层的见解强调了考虑反脆弱性,可持续性和灵活性对于有效的供应链网络设计的重要性.
- 该研究为汽车工业和其他寻求强大和适应性供应链解决方案的行业提供了实际影响.
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