评估水和污水服务的效率:与能源部和PCA合作的DEA综合方法
Khodarahm Pishini1, Omid Abdolazimi2, Davood Shishebori3
1Department of Industrial Engineering, Yazd University, Yazd, Iran.
The Science of the total environment
|January 1, 2025
概括
本研究引入了一种新的模型,用于评估用数据包围分析 (DEA),实验设计 (DOE) 和主要组件分析 (PCA) 的水和污水公司. 综合方法增强了效率评估和资源优化,以改善服务提供.
科学领域:
- 运营研究 运营研究
- 环境管理环境管理
- 公共事业 公益事业
背景情况:
- 评估服务机构,如水和污水公司,对于运营效率和服务质量至关重要.
- 传统的绩效指标可能是复杂的,因为许多输入和输出.
- 评估单位异质性和环境因素对于准确的绩效评估至关重要.
研究的目的:
- 引入一个增强的数据环境分析 (DEA) 模型来评估服务组织中运营单位的效率.
- 通过整合实验设计 (DOE) 和主要组件分析 (PCA) 来应对DEA中众多变量的挑战.
- 提供管理洞察力,以优化资源和战略规划在水和下水道公司.
主要方法:
- 数据环境分析 (DEA) 用于效率测量.
- 主要组件分析 (PCA) 用于维度缩小和变量选.
- 实验设计 (DOE) 用于变量选和数据减少.
- 从输入中去除环境因素以解决单位异质性问题.
主要成果:
- 集成的PCA和DOE方法有效地减少变量并提高DEA模型的性能.
- 该研究确定了能够在优化资源利用的情况下实现高效率的操作单元.
- 管理层的洞察力是为了明智的决策和战略规划而得出的.
结论:
- 拟议的方法提供了一种新的方法来处理DEA模型中的复杂变量集.
- 这些发现支持改善资源配置,从而提高服务可靠性和客户满意度.
- 该方法有助于环境可持续性和整体组织绩效.
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