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JES. Journal of Engineering Sciences
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Volume Volume 53 (2025)
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Keniwe, M., Abdelaal, M., Houssin, R., Coulibaly, A., Renaud, J., Nosier, I., Mohamed Yassin, A. (2025). A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects. JES. Journal of Engineering Sciences, 53(4), 155-174. doi: 10.21608/jesaun.2025.350463.1407
Mahmoud Sabry Keniwe; Mostafa Ali Abdelaal; Remy Houssin Houssin; Amadou Coulibaly; Jean Renaud; Ibrahim Nosier; Ahmed Mohamed Yassin. "A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects". JES. Journal of Engineering Sciences, 53, 4, 2025, 155-174. doi: 10.21608/jesaun.2025.350463.1407
Keniwe, M., Abdelaal, M., Houssin, R., Coulibaly, A., Renaud, J., Nosier, I., Mohamed Yassin, A. (2025). 'A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects', JES. Journal of Engineering Sciences, 53(4), pp. 155-174. doi: 10.21608/jesaun.2025.350463.1407
Keniwe, M., Abdelaal, M., Houssin, R., Coulibaly, A., Renaud, J., Nosier, I., Mohamed Yassin, A. A Comprehensive Evaluation of Key Performance Indicators (KPIs) for Enhanced Decision Support in Infrastructure Projects. JES. Journal of Engineering Sciences, 2025; 53(4): 155-174. doi: 10.21608/jesaun.2025.350463.1407

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

Article 1, Volume 53, Issue 4, July and August 2025, Page 155-174  XML PDF (564.03 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2025.350463.1407
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Authors
Mahmoud Sabry Keniwe email 1; Mostafa Ali Abdelaal2; Remy Houssin Houssin3; Amadou Coulibaly4; Jean Renaud5; Ibrahim Nosier6; Ahmed Mohamed Yassin7
1Al-Azhar University, Cairo, Egypt, Department of Public Works Engineering ,Civil Engineering Department
2Professor, Dept. of Irrigation and Hydraulics Civil Engineering Department, Al-Azhar University, Egypt
3University of Strasbourg – CSIP- I Cube – France
4INSA of Strasbourg – CSIP- I Cube – France
5Professor INSA of Strasbourg – CSIP- I Cube – France
6Dept. of Structural Engineering and Construction Management, Ain Shams University, Cairo, Egypt,
7Dept. of Public Works Engineering Civil Engineering Department, Al-Azhar University, Egypt.
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
Evaluation; KPIs; Sanitation Project’s; Analytic Network Process
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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