Prasad Dagade,
Om Chakke,
Harshal Gade,
Atharva Chorge,
Akash Patole,
M. Kapote,
- Student Department of Civil Engineering, RMDSSOE, Pune
- Student Department of Civil Engineering, RMDSSOE, Pune
- Student Department of Civil Engineering, RMDSSOE, Pune
- Student Department of Civil Engineering, RMDSSOE, Pune
- Student Department of Civil Engineering, RMDSSOE, Pune
- Assistant Professor Department of Civil Engineering, RMDSSOE, Pune
Abstract
The term “labour management” describes a business’s procedures and guidelines for adhering to national and international labour laws as well as client demands. In order to increase labour productivity, this study sought to measure the efficacy of a number of implemented management strategies, such as resource scheduling, advanced construction methods, labour management, training, communication, supervision, planning, and incentive programs. Labour management is an important parameter considered on site because the cost of labour is about 30%-50% of overall project cost. This paper emphasizes better labour management process. The questionnaire survey was done with 71 labours and 25 project managers. A simple purposive sampling technique was adopted to collect the data. It helped to illustrate a better framework for effective labour management and effective labour productivity. The outcome of the study will help the construction professionals to improve labour productivity and effective labour management in a construction industry.
Keywords: Framework, labour management, labour productivity, planning, scheduling
References
1. Jide, S., Xincheng, W. and Liangfa, S., 2018. Research on the mobility behaviour of Chinese construction workers based on evolutionary game theory. Economic research- Ekonomska istraživanja, 31(1), pp.1-14.
2. Gurmu, A.T. and Aibinu, A.A., 2017. Construction equipment management practices for improving labor productivity in multistory building construction projects. Journal of Construction Engineering and Management, 143(10), p.04017081.
3. Dhal, M., 2020. Labor stand: Face of precarious migrant construction workers in India. Journal of construction engineering and management, 146(6), p.04020048.
4. Ghodrati, N., Yiu, T.W. and Wilkinson, S., 2018. Unintended consequences of management strategies for improving labor productivity in construction industry. Journal of safety research, 67, pp.107-116.
5. Tabassi, A.A. and Bakar, A.A., 2009. Training, motivation, and performance: The case of human resource management in construction projects in Mashhad, Iran. International journal of project management, 27(5), pp.471-480.
6. Patel, B., Bhavsar, J.J. and Pitroda, J., 2017. A critical literature review of labour productivity in building construction. Int. J. Constr. Res. Civ. Eng, 3(4), pp.76-80.
7. Muntu, D., Setyawati, R., Riantini, L.S. and Ichsan, M., 2021. Effect of human resources management and advances to improve construction project performance. Physics and Chemistry of the Earth, Parts A/B/C, 122, p.103000.
8. Ansari, S.A. and Karthik, D., 2022. Labor relation in construction industry in India. Materials Today: Proceedings, 60, pp.1581-1587.
9. Cheng, L., Gu, K., Zhao, L., Wang, H., Ji, J.S., Liu, Z., Huang, J., Chen, Y., Gao, X., Xu,
Y. and Wang, C., 2023. Projecting future labor losses due to heat stress in China under climate change scenarios. Science Bulletin, 68(22), pp.2827-2837.
10. Durdyev, S. and Mbachu, J., 2018. Key constraints to labour productivity in residential building projects: Evidence from Cambodia. International Journal of Construction Management, 18(5), pp.385-393
11. Zhu, W., Zeng, R., Li, X., Zhu, Y. and Zhang, Z., 2017. Managerial drivers of Chinese labour loyalty in international construction projects. Journal of Civil Engineering and Management, 23(8), pp.1109-1122.
12. Hamza, M., Shahid, S., Bin Hainin, M.R. and Nashwan, M.S., 2022. Construction labour productivity: review of factors identified. International Journal of Construction Management, 22(3), pp.413-425.
13. Thomas, A.V. and Sudhakumar, J., 2013. Critical analysis of the key factors affecting construction labour productivity–An Indian Perspective. International Journal of Construction Management, 13(4), pp.103-125.
14. Ahmad, S.B.S., Mazhar, M.U., Laedre, O., Bruland, A. and Torp, O., 2022. Improvement measures to achieve sustainable construction labour performance. International Journal of Construction Management, 22(1), pp.85-102.
15. B Krishnan, M ekshmi 2022, Analysis of Labour Productivity in Construction Industry Using Analytical Hierarchy Process and Linear Regression Method. 10(7) pp. 1770- 1776.
16. Karthick, M.D., Prasadh, M.K., Dhanalakshmi, R. and Gopi krishnan, M., Premeditated Analysis of Labour Productivity in Construction Project.
17. Momade, M.H., Shahid, S., Falah, G., Syamsunur, D. and Estrella, D., 2023. Review of construction labor productivity factors from a geographical standpoint. International Journal of Construction Management, 23(4) pp.697-707
18. S bhumi, J, A Somabhai 2020 Factor Affecting Labour Productivity in Construction Industry and It’s Improvement 7(5) pp .249-254
19. Brucker Juricic, B., Galic, M. and Marenjak, S., 2021. Review of the Construction Labour Demand and Shortages in the EU. Buildings, 11(1), p.17
20. Yang, Z., Yuan, Y., Zhang, M., Zhao, X. and Tian, B., 2019. Assessment of construction workers’ labor intensity based on wearable smartphone system. Journal of construction engineering and management, 145(7), p.04019039
21. Dhal, M., 2020. Labor stand: Face of precarious migrant construction workers in India. Journal of construction engineering and management, 146(6), p.04020048.
22. Assefa Tsehayae, A. and Robinson Fayek, A., 2016. Developing and optimizing context- specific fuzzy inference system-based construction labor productivity models. Journal of Construction Engineering and Management, 142(7), p.04016017.
23. Gurmu, A.T. and Aibinu, A.A., 2017. Construction equipment management practices for improving labor productivity in multistory building construction projects. Journal of Construction Engineering and Management, 143(10), p.04017081.
Journal of Structural Engineering and Management
Volume | |
Received | June 18, 2024 |
Accepted | July 16, 2024 |
Published | July 18, 2024 |