A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects

Keniwe, Mahmoud Sabry; Abdelaal, Mostafa Ali; Houssin, Remy Houssin; Coulibaly, Amadou; Renaud, Jean; Nosier, Ibrahim; Mohamed Yassin, Ahmed

doi:10.21608/jesaun.2025.350463.1407

A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects

Document Type : Research Paper

Authors

¹ Al-Azhar University, Cairo, Egypt, Department of Public Works Engineering ,Civil Engineering Department

² Professor, Dept. of Irrigation and Hydraulics Civil Engineering Department, Al-Azhar University, Egypt

³ University of Strasbourg – CSIP- I Cube – France

⁴ INSA of Strasbourg – CSIP- I Cube – France

⁵ Professor INSA of Strasbourg – CSIP- I Cube – France

⁶ Dept. of Structural Engineering and Construction Management, Ain Shams University, Cairo, Egypt,

⁷ Dept. of Public Works Engineering Civil Engineering Department, Al-Azhar University, Egypt.

10.21608/jesaun.2025.350463.1407

Abstract

Improving the efficiency and performance of infrastructure projects by contractors and owners is essential. The performance of a construction project significantly impacts its success, particularly given the inherently protracted nature of construction activities. Thus, there is a need for an efficient monitoring tool to evaluate the performance of specific types of infrastructure projects throughout the construction phase. This study aims to identify the Key Performance Indicators (KPIs) affecting sanitation infrastructure projects in the construction industry and to develop a generic model for measuring and evaluating their sustainable performance. Through literature review and semi-structured interviews, the study identified 7 indicators that enhance the performance of construction projects related to sanitation infrastructure. Subsequently, a questionnaire survey was conducted to assess the impact of these KPIs on sanitation projects, ranking and prioritizing their significance. The Analytic Network Process (ANP) approach was then applied to analyze project performance and explore the linkages between various KPIs. Management of the number of KPIs, their classification, and selection for suitable projects are crucial considerations addressed in this study. The objective of this study is to develop a comprehensive model that can measure and evaluate sanitation project performance.

Keywords

Main Subjects

Civil Engineering: structural, Geotechnical, reinforced concrete and steel structures, Surveying, Road and traffic engineering, water resources, Irrigation structures, Environmental and sanitary engineering, Hydraulic, Railway, construction Management.

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