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Developing an overall performance index for water supply systems: selecting optimal methods for effective benchmarking

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  • Hassan Baniasadi

    (Shahid Beheshti University)

  • Abdollah Rashidi Mehrabadi

    (Shahid Beheshti University)

Abstract

Assessing the performance of water supply systems (WSSs) is crucial for their effective management. This study develops a Composite Indicator (CI) that integrates key performance indicators (KPIs) to evaluate WSS performance comprehensively. We explore the processes of clustering, normalizing, weighting, and aggregating KPIs using data from various WSSs in Iran. The KPIs were categorized into four dimensions: Environmental, Financial, Organizational, and Social, to facilitate a detailed assessment and calculation of an Overall Performance Index (OPI). A new multi-criteria method was used to assign weights to KPIs based on non-compensation principles. WSSs were grouped by population, water resource type, and climate, and KPIs were normalized through fair benchmarking. We employed a non-linear (Geometric) aggregation method to enhance sustainability and address non-compensation interactions. Our comparison of this method with previous approaches revealed significant impacts on the OPI and the ranking of WSSs. Population size emerged as a significant factor, and the study highlighted the substantial influence of resource type and climate on specific KPIs. The non-linear aggregation method demonstrated greater robustness and sustainability compared to linear methods, aligning with fair benchmarking principles and improving WSS sustainability.

Suggested Citation

  • Hassan Baniasadi & Abdollah Rashidi Mehrabadi, 2025. "Developing an overall performance index for water supply systems: selecting optimal methods for effective benchmarking," Environment Systems and Decisions, Springer, vol. 45(2), pages 1-20, June.
    • Handle: RePEc:spr:envsyd:v:45:y:2025:i:2:d:10.1007_s10669-025-10016-3
    DOI: 10.1007/s10669-025-10016-3
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    References listed on IDEAS

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