Abstract
Infrastructure construction projects are facing the chronic issues of cost overrun, time overrun, low quality, low productivity, etc., because of the intrinsic nature of construction activities. A number of studies have revealed the poor performance of construction projects. Hence, there is a serious requirement to assess the project performance in order to make necessary improvements. This study presents a theoretical framework for qualitative assessment of project performance based on fuzzy theory using key performance indicators (KPIs) such as budget, quality of the project, time, productivity, health and safety, client’s satisfaction, and environmental effects. Cost-associated performance, time-associated performance, quality-associated performance, health and safety-associated performance, client satisfaction-associated performance, productivity-associated performance, and environmental-associated performance indices were calculated using severity and frequency indices obtained through a questionnaire survey. The methodology presented here will assist the construction managers in assessing and improving the performance of the project. It may also add to the body of knowledge in the area related to construction engineering and management to understand the various issues related to the performance of infrastructure construction projects.
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Sharma, S., Goyal, P.K. (2023). Fuzzy Assessment of Infrastructure Construction Project Performance. In: Devedzic, V., Agarwal, B., Gupta, M.K. (eds) Proceedings of the International Conference on Intelligent Computing, Communication and Information Security. ICICCIS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1373-2_34
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