基于有序模糊决策系统的方法,用于供应链管理中的供应商评估
Katarzyna Rudnik1, Anna Chwastyk2, Iwona Pisz3
1Faculty of Production Engineering and Logistics, Opole University of Technology, 45-758 Opole, Poland.
Entropy (Basel, Switzerland)
|October 25, 2024
概括
本研究引入了一种新的有序模糊决策系统,用于多标准供应商评估. 它有效地处理供应链数据中的不确定性和动态变化,以便更好地选择供应商.
科学领域:
- 供应链管理 供应链管理
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
背景情况:
- 供应商选择对于组织的成功和竞争力至关重要.
- 它提出了一个复杂的多标准决策 (MCDM) 问题,具有质量,数量和相互冲突的标准.
- 现有的方法可能面临不确定性和评估值的动态变化.
研究的目的:
- 提出一种新的MCDM方法,用于使用有序模糊决策系统对供应商进行评估.
- 为订购的模糊专家系统开发一个知识基础,专门为供应商评估量身定制.
- 解决供应商评估参数中的不确定性,主观性和动态变化.
主要方法:
- 使用有序模糊决策系统,使用有序模糊数字 (OFNs).
- 采用基于IF-THEN规则的模糊推理系统.
- 纳入了的概念和评估值变化的趋势.
- 开发了一个有序模糊专家系统的知识库.
主要成果:
- 拟议的系统有效地根据多个标准评估供应商,包括评估参数的动态变化.
- 与经典模糊系统相比,有序模糊数字 (OFNs) 降低了知识库的复杂性,并提高了用户的可访问性.
- 该系统可以使用当前和历史数据来区分供应商.
- 在动态和不确定的供应链环境中证明了应用.
结论:
- 开发的订购模糊专家系统为多标准供应商评估提供了一个强大的框架.
- 该方法有效地管理决策过程中固有的不确定性和主观性.
- 它为传统的模糊系统提供了更容易访问和计算效率更高的替代方案.
- 该框架可以扩展,包括可持续性和ESG标准,与现代供应链趋势保持一致.
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