Abstract

It is essential to quantify construction quality rather than rely solely on subjective evaluations to effectively control and assess the standard of any construction work. This study employs a fuzzy mathematical model as an effective methodology to reduce subjectivity and establish a uniform quantification scale for assessing the overall quality index of reinforced cement concrete (RCC) construction. The model evaluates various quality attributes related to materials, construction processes, and the hardened state of concrete. A case study was conducted to validate the proposed model by assessing the quality indices of three RCC buildings constructed by different agencies. The findings revealed that Building 1 achieved the highest overall quality index of 76.847 (on a scale of 100), indicating superior construction quality. Building 2 followed with a score of 73.883, while Building 3 had the lowest quality index of 72.221. Based on the numerical ratings, Building 1 was classified as "excellent," whereas Buildings 2 and 3 were rated as "good." This framework replaces subjective assessments with objective numerical values, enabling consistent quality evaluation. It offers construction companies a competitive advantage by enhancing construction quality, aiding in facility ranking, project prioritization, and serving as a critical criterion in contractor selection.

Keywords

Fuzzy logic, Quality indexing, Reinforced cement concrete (RCC), Construction quality assessment, Quality attributes, Subjective evaluation elimination.

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