一种基于马科维的模糊决策方法,用于基于客户的可持续-弹性供应商选择问题
Mahdieh Tavakoli1, Amirreza Tajally1, Mohssen Ghanavati-Nejad1
1School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
概括
本研究引入了一种新的方法,用于根据客户偏好选择可持续和有弹性的供应商,这对于供应链管理至关重要. 调查结果显示,在中断期间,客户优先级发生了变化,重点是服务性和可靠性,而不是最初的价格问题.
科学领域:
- 供应链管理 供应链管理
- 决策科学 决策科学 决策科学
- 运营研究 运营研究
背景情况:
- 供应商选择在供应链管理中至关重要,但缺乏关注与客户偏好的可持续性和弹性.
- 现有的研究不足以解决客户偏好的动态性质,特别是在流行病等破坏期间.
- 在线市场的兴起需要适应性的供应商选择策略.
研究的目的:
- 调查以客户为基础的可持续-弹性供应商选择问题.
- 开发一个新的决策框架,整合客户偏好,可持续性和弹性.
- 分析在在线市场环境中的颠覆性事件期间客户优先级的变化.
主要方法:
- 一种基于马科夫的模糊决策方法,结合了质量函数部署 (QFD) 和模糊最佳-最差方法 (FBWM).
- 使用QFD和马尔科夫过渡矩阵评估客户偏好.
- 通过过渡矩阵和FBWM计算指标权重,然后进行供应商绩效测量.
主要成果:
- 在长时间的干扰 (例如,流行病) 期间,客户的偏好会发生变化,从最初的优先事项 (价格,可用性,性能) 转向未来的优先事项 (服务能力,可靠性,可用性).
- 马尔科夫稳态模型捕捉了这些动态偏好转变.
- 选择可持续弹性供应商的首要客户优先考虑的子标准是成本,质量,交付,响应能力和服务.
结论:
- 拟议的方法有效地将客户的偏好与可持续-弹性供应商选择相结合.
- 了解动态的客户偏好对于强大的供应链战略至关重要,特别是在在线环境中.
- 该研究提供了一个实用的框架,用于根据危机期间不断变化的客户需求来优先考虑供应商.
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