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

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 effici...

全面介紹

書目詳細資料
發表在:JES: Journal of Engineering Sciences
Main Authors: Mahmoud Keniwe, Mostafa Abdelaal, Remy Houssin Houssin, Amadou Coulibaly, Jean Renaud, Ibrahim Nosier, Ahmed Mohamed Yassin
格式: Article
語言:阿拉伯语
出版: Assiut University, Faculty of Engineering 2025-07-01
主題:
在線閱讀:https://jesaun.journals.ekb.eg/article_427127_10af59cdd5f59b70e8251e84ef1089b0.pdf
實物特徵
總結: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.
ISSN:1687-0530
2356-8550