Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Predicting labour productivity for formwork activities in high-rise building construction: a case study

Predicting labour productivity for formwork activities in high-rise building construction: a case... Predicting labour productivity accurately in critical activities like formwork erection would enable management interventions to improve the site situations especially in the context of high-rise building construction. In this study, Artificial Neural Networks (ANNs) were employed to model and predict three categories of formwork erection activities–aluminium formwork, horizontal formwork and vertical formwork. 16 input factors were identified and a total of 19,344 data points from 42 construction sites all over India were used to train and validate the ANN models. The developed models show a high degree of accuracy in predicting the productivity on sites. The models also give major insights into the factors affecting the productivity of formwork related activities. The adverse effects of some factors like the number of workers on the site were also discussed. The study indicates the usefulness of data-driven techniques for prediction of labour productivity of formwork activities on Indian construction sites. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Civil Engineering Springer Journals

Predicting labour productivity for formwork activities in high-rise building construction: a case study

Download PDF
10 pages

Loading next page...
 
/lp/springer-journals/predicting-labour-productivity-for-formwork-activities-in-high-rise-cTOkApy7ng
Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
1563-0854
eISSN
2522-011X
DOI
10.1007/s42107-022-00545-6
Publisher site
See Article on Publisher Site

Abstract

Predicting labour productivity accurately in critical activities like formwork erection would enable management interventions to improve the site situations especially in the context of high-rise building construction. In this study, Artificial Neural Networks (ANNs) were employed to model and predict three categories of formwork erection activities–aluminium formwork, horizontal formwork and vertical formwork. 16 input factors were identified and a total of 19,344 data points from 42 construction sites all over India were used to train and validate the ANN models. The developed models show a high degree of accuracy in predicting the productivity on sites. The models also give major insights into the factors affecting the productivity of formwork related activities. The adverse effects of some factors like the number of workers on the site were also discussed. The study indicates the usefulness of data-driven techniques for prediction of labour productivity of formwork activities on Indian construction sites.

Journal

Asian Journal of Civil Engineering – Springer Journals

Published: Jun 1, 2023

Keywords: Labour productivity; Formwork; High-rise building; Artificial neural network

References

  • Predicting the risk of contractor default in Saudi Arabia utilizing artificial neural network (ANN) and genetic algorithm (GA) techniques
    Al-Sobiei, OS; Arditi, D; Polat, G
  • An unequal process of urbanisation
    Chakraborty, J
  • Urbanization and spatial patterns of internal migration in India
    Chandrasekhar, S; Sharma, A
  • Hybrid ANN-CBR model for disputed change orders in construction projects
    Chen, JH; Hsu, SC
  • RFID+ 4 D CAD for progress management of structural steel works in high-rise buildings
    Chin, S; Yoon, S; Choi, C; Cho, C
  • Buildability factors influencing formwork labour productivity of isolated foundations
    Jarkas, AM
  • The impacts of buildability factors on formwork labour productivity of columns
    Jarkas, AM
  • Wavefront reduction using graphs, neural networks and genetic algorithm
    Kaveh, A; Bondarabady, HR
  • Optimal design of transmission towers using genetic algorithm and neural networks
    Kaveh, A; Gholipour, Y; Rahami, H
  • Comparative study of backpropagation and improved counterpropagation neural nets in structural analysis and optimization
    Kaveh, A; Iranmanesh, A
  • Assessment of labor productivity in construction projects using system dynamic approach
    Khanzadi, M; Kaveh, A; Alipour, M; Khanmohammadi, R
  • Analysis of labour productivity of formwork operations in building construction
    Osama, M
  • Assessment of risks in high rise building construction in Jakarta
    San Santoso, D; Ogunlana, SO; Minato, T
  • Factors influencing formwork productivity
    Smith, GR; Hanna, AS
  • Artificial neural networks model for predicting excavator productivity
    Tam, CM; Tong, TKL; Tse, SL
  • Pile construction productivity assessment
    Zayed, TM; Halpin, DW