用绿地,网络优化和模拟分析为新常态冷供应链的响应性策略
Pratik Maheshwari1, Sachin Kamble2, Amine Belhadi3
1Operations and Supply Chain, Indian Institute of Management Jammu, Jammu, Jammu and Kashmir 180016 India.
Annals of operations research
|June 26, 2023
概括
本研究介绍了COVID-19等事件造成的供应链中断的风险减轻策略. 它优化了分销中心的位置和策略,以提高危机期间的弹性和利能力.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 灾害管理 灾害管理
背景情况:
- 由于COVID-19的流行,全球和当地供应链发生了重大破坏.
- 供应链中断的特点是低频,高影响的事件,需要强有力的风险减轻.
- 适应"新常态"需要采取主动的供应链弹性战略.
研究的目的:
- 在供应链中断期间提出实施风险减轻策略的方法.
- 在各种场景下使用随机需求积累来识别颠覆驱动的挑战.
- 确定最佳的配送中心位置和减缓策略,以最大限度地提高利.
主要方法:
- 基于模拟的优化优化
- 绿地分析是绿地分析.
- 网络优化技术 网络优化技术
- 用于验证的敏感性分析.
主要成果:
- 开发了一种弹性和灵活的模型,以应对中断的效应.
- 针对类似流行病的危机,确定了主动和反应措施.
- 阐明了大流行影响和供应链弹性之间的关系.
结论:
- 拟议的方法有效地提高了供应链对重大中断的弹性.
- 优化的分销网络和缓解策略对于业务连续性至关重要.
- 该研究为准备供应链应对未来危机提供了一个框架.
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