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Effective management of labour productivity in construction projects is important for ensuring project success. This paper introduces a novel approach to quantifying uncertainty in labour productivity through entropy calculations based on outputs from a fuzzy expert system. Two distinct scenarios are analyzed to demonstrate the practical application of the proposed methodology, one representing a week with high variability and the other a stable and predictable week. These scenarios highlight how entropy can be a powerful tool for identifying periods of high uncertainty and assisting project managers in making informed decisions about resource allocation, risk management, and strategic planning. The findings suggest that high entropy values indicate weeks requiring increased management attention and resources, whereas lower entropy values correspond to more stable conditions, allowing for standard operational procedures. This approach enhances understanding of dynamic project conditions and supports proactive project management practices. This study contributes to the body of knowledge by integrating fuzzy logic with entropy calculations, which offers a robust framework for managing the complexities of labour productivity in construction projects. Through real-world application and comparative analysis, this study validates the effectiveness of entropy analysis as a diagnostic and decision-making tool in the construction industry.
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1 Department of Civil and Environmental Engineering, University of Alberta, Canada