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供应链可持续性风险评估和管理在供应商选择中的数字双胞胎和模糊框架
Ibrahim M Hezam1, Ahmed M Ali2, Karam Sallam3
1Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia. ialmishnanah@ksu.edu.sa.
Scientific reports
|July 31, 2024
概括
本研究引入了一种用于评估供应链风险和选择供应商的新方法,使用球形模糊数字 (SFN) 和多标准决策 (MCDM). 它将供应风险确定为最关键的因素,帮助组织选择具有最小可持续性风险的供应商.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 决策科学 决策科学 决策科学
背景情况:
- 供应链中断对组织构成重大风险,需要强有力的风险评估和管理策略.
- 可持续性因素在供应商选择中引入了复杂的变量,要求先进的分析方法.
- 不确定性和不完整的数据是评估供应链风险和供应商绩效的常见挑战.
研究的目的:
- 开发和验证供应链风险评估和供应商选择的新组合模型.
- 在球形模糊集 (SFS) 环境中整合多标准决策 (MCDM) 技术.
- 根据天然气公司的专家意见确定关键的可持续性风险因素并对供应商进行排名.
主要方法:
- 使用球形模糊数字 (SFN) 来处理语言变量和专家意见.
- 采用SFS-Entropy方法来确定供应链风险标准的权重.
- 应用了SFS-CODAS方法来对供应商进行排名,并进行了用于验证的敏感性分析.
- 在SFS环境下与其他MCDM方法 (TOPSIS,VIKOR,MARCOS,COPRAS,WASPAS,MULTIMOORA) 进行了比较分析.
主要成果:
- 供应风险被确定为最重要的因素,其次是金融和环境风险.
- 在评估的标准中,伦理风险被发现具有最低的重要性.
- 拟议的SFS-MCDM模型通过敏感性分析证明了稳定性和有效性.
- 供应商的排名在不同的分析方法中是稳健和一致的.
结论:
- 开发的SFS-MCDM模型有效地解决了供应链风险评估和供应商选择中的不确定性.
- 该方法为管理人员提供了一个实用的工具,帮助他们识别和减轻供应链中的可持续性风险.
- 这项研究为供应商选择提供了一种新的方法,在复杂的工业环境中优先考虑可持续性和风险管理.
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