基于模糊的分析层次流程和TOPSIS集成的电力企业采购绩效的多维评估模型
Haigang Zhao1, Shugui Song1, Xiaoqing Lv2
1Department of Procurement (Bidding Management Center), State Grid Corporation of China, Beijing, 100031, China.
Scientific reports
|November 21, 2025
概括
本研究介绍了用于电力企业采购的集成模糊分析层次流程 (FAHP) 和TOPSIS模型. 该模型通过解决不确定性和整合功率特定标准来增强决策,提高评估准确性.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 能源系统工程 能源系统工程
背景情况:
- 由于电网可靠性,监管要求和长期投资,电力企业面临着独特的采购挑战.
- 传统的评估方法与语言不确定性作斗争,整合权力特定的标准,并聚合利益相关者的目标.
- 现有的框架缺乏系统的方法来处理电力部门复杂的决策.
研究的目的:
- 为电力企业采购制定一个全面的多维评估模型.
- 整合模糊分析层次过程 (FAHP) 和TOPSIS,以加强决策支持.
- 解决传统方法在处理不确定性和功率特定标准方面的局限性.
主要方法:
- 整合模糊分析层次过程 (FAHP) 进行主观判断和不确定性处理.
- 应用TOPSIS用于基于距离理想解决方案的稳健排名.
- 开发一个层次化的评估系统,具有成本效益,质量,供应商关系和风险控制等维度.
主要成果:
- 综合的FAHP-TOPSIS模型在一致性比率上取得了23%的改善.
- 经验验证显示,接近系数为0.6651,使该企业处于第73个行业百分位.
- 灵敏度分析证实了模型的稳定性,96.3%的排名稳定性;在识别性能差距方面91.3%的准确性.
结论:
- 开发的多维模型为电力企业的战略采购提供了增强的分析能力.
- 该框架系统地解决了语言的不确定性,并整合了各种利益相关者的目标.
- 它为能源部门的持续改进和知情决策提供了一个强大的工具.
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