International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Review Papers | Construction Management | India | Volume 11 Issue 1, January 2022


A Review Paper on Prediction of Construction Productivity Using Artificial Neural Network Model

Kavya S. M. | Nikhil T R [2] | Akshayakumar V Hanagodimath


Abstract: The construction industry's productivity is generally based on three factors: labour characteristics, control systems, and external issues. Various academics have identified a number of elements that influence building productivity. Understanding the level of productivity makes it considerably more important to improve modern techniques in order to boost construction productivity. This report presents a thorough review of the research on productivity in the construction industry. The paper provides a review of different methods that can be used to measure production productivity, as well as factors affecting and theories on improving construction productivity, such as labour factor, control elements, and outside factors. The paper also critiques various improvements that can be made to improve construction productivity. According to opinions, there are numerous different strategies and strategies for increasing construction productivity, but they differ from web to web. On the subject of viewpoints, it has long been stated that there are numerous alternative tactics and strategies for increasing construction productivity, but they differ from web-based strategies.


Keywords: Construction productivity, ANN, Construction management, Labour and Equipment productivity


Edition: Volume 11 Issue 1, January 2022,


Pages: 778 - 784


How to Cite this Article?

Kavya S. M., Nikhil T R, Akshayakumar V Hanagodimath, "A Review Paper on Prediction of Construction Productivity Using Artificial Neural Network Model", International Journal of Science and Research (IJSR), Volume 11 Issue 1, January 2022, pp. 778-784, https://www.ijsr.net/get_abstract.php?paper_id=SR22109204923

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