576
Views
4
CrossRef citations to date
0
Altmetric
Articles

Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling

, , &

References

  • Abbaspour S, Dabirian S. 2019. Evaluation of labor hiring policies in construction projects performance using system dynamics. IJPPM. 69(1):22–43.
  • Ahmad SBS, Mazhar MU, Bruland A, Andersen BS, Langlo JA, Torp O. 2018. Labour productivity statistics: a reality check for the Norwegian construction industry. Int J Constr Manage. 19(2):1–14.
  • Ahn S, Lee S. 2014. Methodology for creating empirically supported agent-based simulation with survey data for studying group behavior of construction workers. J Constr Eng Manage. 141(1):04014065-1–04014065-9..
  • Al-Kofahi ZG, Mahdavian A, Oloufa A. 2020. System dynamics modeling approach to quantify change orders impact on labor productivity 1: principles and model development comparative study. Int J Constr Manage. 1–12. DOI: 10.1080/15623599.2020.1711494.
  • Alaghbari W, Al-Sakkaf AA, Sultan B. 2019. Factors affecting construction labour productivity in Yemen. Int J Constr Manage. 19(1):79–91.
  • Alinaitwe MH, Mwakali JA, Hansson B. 2007. Factors affecting the productivity of building craftsmen- studies of Uganda. J Civ Eng Manage. 13(3):169–176.
  • Arashpour M, Arashpour M. 2015. Analysis of workflow variability and its impacts on productivity and performance in construction of multistory buildings. J Manage Eng. 31(6):04015006. ME.1943-5479.0000363.
  • Araya F. 2020. Agent based modeling: a tool for construction engineering and management? Rev Ing Constr. 35(2):111–118.
  • Axelrod R. 1997. Advancing the art of simulation in the social sciences. In: Conte. R, Hegselmann, R, Terna, P, editors. Simulating social phenomena. Berlin: Springer-Verlag; p. 21–40.
  • Bandini S, Petta P, Vizzari G. 2009. Best of agent-based modeling and simulation. Cybern Syst: Int J. 40(5):363–366.
  • Bandini S, Petta P, Vizzari G. 2011. Best of agent-based modeling and simulation. Cybern Syst: Int J. 42(7):481–483.
  • Bandini S, Vizzari G, Petta P. 2007. Best of agent-based modeling and simulation. Cybern Syst: Int J. 38(7):627–630.
  • Ben-Alon L, Sacks R. 2017. Simulating the behavior of trade crews in construction using agents and building information modeling. Autom. Constr. 74(Feb):12–27.
  • Bokor O, Florez L, Osborne A, Gledson BJ. 2019. Overview of construction simulation approaches to model construction processes. Organ Technol Manage Constr. 11(1):1853–1861..
  • Brockwell, PJ, Davis, RA. 2002. Introduction to Time Series and Forecasting. Springer: Heidelberg, Germany.
  • Chan A, Scott D, Chan A. 2004. Factors affecting the success of a construction project. J Constr Eng Manage. 130(1):153–155.
  • Dabirian S, Abbaspour S, Khanzadi M, Ahmadi M. 2019. Dynamic modelling of human resource allocation in construction projects. Int J Constr Manage. DOI: 10.1080/15623599.2019.1616411.
  • Dehdasht G, Ferwati MS, Zin RM, Abidin NZ. 2020. A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation. PLOS One. 15(2):e0228746. doi:10.1371/journal.pone.0228746.
  • El-Gohary K, Aziz R. 2013. Factors influencing construction labor productivity in Egypt. J Manag Eng. 30(1):1–9. https://doi.org/10.1061/(ASCE)ME.19435479.0000168.
  • Farshchian MM, Heravi G. 2018. Probabilistic assessment of cost, time, and revenue in a portfolio of projects using stochastic agent-based simulation. J Constr Eng Manage. 144(5):04018028. CO.1943-7862.0001476.
  • Guo S. 2002. Identification and resolution of work space conflicts in building construction. J Constr Eng Manage. 128(4):287–295.
  • Gurmu AT, Ongkowijoyo CS. 2020. Predicting construction labor productivity based on implementation levels of human resource management practices. J Constr Eng Manage. 146(3):04019115.
  • Hanna AS. 2001. Quantifying the impact of change orders on electrical and mechanical labor productivity. Austin (TX): Construction Industry Institute. Research Rep. No. 158-11.
  • Hanna AS, Taylor CS, Sullivan KT. 2005. Impact of extended overtime on construction labor. J Constr Eng Manage. 131(6):734–739.
  • Heravi G, Eslamdoost E. 2015. Applying artificial neural networks for measuring and predicting construction-labor productivity. J Constr Eng Manage. 141(10):04015032.
  • Howell G. 1999. White Paper. Berkeley/Stanford CE&M Research Workshop, Available from www.ce.berkeley.edu/∼tommelein/CEMworkshop/Howell.pdf.
  • Hu D, Mohamed Y, Taghaddos H, Hermann UR. 2018. A simulation-based method for effective workface planning of industrial construction projects. Constr Manage Econ. 36(6):328–347.
  • Jabri A, Zayed T. 2017. Agent-based modeling and simulation of earthmoving operations. Autom. Constr. 81 (Sep):210–223.
  • Jang H, Kim K, Kim J, Kim J. 2011. Labor productivity model for reinforced concrete construction projects. Constr. Innov. 11(1):92–113.
  • Macal CM, North MJ. 2010. Tutorial on agent-based modeling and simulation. J Simul. 4(3):151–162.
  • Mallasi Z. 2006. Dynamic quantification and analysis of the construction workspace congestion utilizing 4D visualization. Autom Constr. 15(5):640–655.
  • Min JU, Bjornsson HC. 2008. Agent-based construction supply chain simulator for measuring the value of real-time information sharing in construction. J Manage Eng. 24(4):245–254. DOI: 10.1061/(ASCE)0742-597X(2008)
  • Nepal MP, Park M, Son B. 2006. Effects of schedule pressure on construction performance. J Constr Eng Manage. 132(2):182–188.
  • Pereira E, Ahn S, Han S, Abourizk S. 2018. Identification and association of high-priority safety management system factors and accident precursors for proactive safety assessment and control. J Manage Eng. 34(1): DOI: 10.1061/(ASCE)ME.1943-5479.0000562.
  • Pourdehnad J, Maani K, Sedehi H. 2005. System dynamics and intelligent agent-based simulation: Where is the synergy? In: Proceedings of the 20th International Conference of the System Dynamics Society. 28 July-1 August 2002, Palermo, Italy. Available from: http://www.systemdynamics.org/conferences/2002/proceed/PROCEED.pdf [Accessed06/02/08].
  • Raoufi M, Fayek AR. 2018. Fuzzy agent-based modeling of construction crew motivation and performance. J Comput Civ Eng. 32(5):04018035.
  • Raoufi M, Fayek AR. 2020. Fuzzy Monte Carlo agent-based simulation of construction crew performance. J Constr Eng Manage. 146(5):04020041. CO.1943-7862.0001826.
  • Sanchez S, Lucas T. 2002. Exploring the world of agent-based simulations: Simple models, complex analyses. In:Yücesan E, Chen CH, Snowdon JL, Charnes JM, editors. Proceedings of the 2002 Winter Simulation Conference.
  • Smith A. 1987. Increasing onsite productivity transition. Morgantown (WV): AACE; p. K.2.1–k.2.10.
  • Snyder JR, Dilaver O, Lucy. Stephenson L, Mackie JE, Smith SD. 2018. Agent-based modelling and construction – reconstructing antiquity’s largest infrastructure project. Constr Manage Econ. 36(6):313–327. DOI: 10.1080/01446193.2017.1403639.
  • Song L, AbouRizk S. 2008. Measuring and modeling labor productivity using historical data. J Constr Eng Manage. 134(10):786–794.
  • Tako AA, Robinson S. 2008. Model building in system dynamics and discrete event simulation: a quantitative comparison. Proceedings of the 2008 International Conference of the System Dynamics Society, Athens, Greece; July 20–24; p. 1–16.
  • Tao S, Wu C, Sheng Z, Wang X. 2018. Space-time repetitive project scheduling considering location and congestion. J Comput Civ Eng. 32(3):04018017.
  • Thabet WY, Beliveau YJ. 1994. Modeling work space to schedule repetitive floors in multistory buildings. J Constr Eng Manage. 120(1):96–116.
  • Thomas HR, Horman MJ. 2006. Fundamental principles of workforce management. J Constr Eng Manage. 132(1):97–104.
  • Thomas HR, Sakarcan AS. 1994. Forecasting labor productivity using factor model. J Constr Eng Manage. 120(1):228–239.
  • Walsh K, Sawhney A, Bashford H. 2003. Agent-based modeling and simulation in construction. Proceedings, Agent-Based Simulation 4, Montpellier, France, April 28–30.
  • Watkins M, Mukherjee A, Onder N, Mattila K. 2009. Using agent-based modeling to study construction labor productivity as an emergent property of individual and crew interactions. J Constr Eng Manage. 135(7):657–667.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.