Model for Quantifying the Various Levels of Construction Productivity
Increasing construction productivity appears to be a complicated process due to the interconnected nature of construction work and the absence of a standardised method for measuring different construction activities. In this study, grounded theory was adopted as the research methodology for the theo...
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Veröffentlicht in: | Journal of the Institution of Engineers (India). Series A, Civil, architectural, environmental and agricultural Engineering Civil, architectural, environmental and agricultural Engineering, 2024-09, Vol.105 (3), p.733-740 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Increasing construction productivity appears to be a complicated process due to the interconnected nature of construction work and the absence of a standardised method for measuring different construction activities. In this study, grounded theory was adopted as the research methodology for the theoretical development of the productivity model. This paper suggests a theoretical productivity measurement model (PMM) for the construction industry to address the challenges associated with productivity assessment. The proposed model consists of three levels: operational efficiencies (OE), management/administration efficiencies (ME), and industry/sector efficiencies (IE). Each level represents a different aspect of productivity and contributes to the overall performance of the construction sector. The paper discusses the detailed elements, responsibilities, and efficiency measures that are associated with each productivity level and provides a comprehensive framework for productivity evaluation. The suggested PMM enables the collection of data about all the inputs provided and outputs produced, thereby, facilitating effective management and control of construction activities. By adopting this suggested standardized approach to productivity measurement, the construction industry can achieve long-term development and enhance its contribution to the economy. |
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ISSN: | 2250-2149 2250-2157 |
DOI: | 10.1007/s40030-024-00820-6 |