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Paper: lc3-2017-112
| Paper title: | Using ABM to Evaluate the Impact of Social Networks on Construction Labor Productivity |
| Authors: | Daoud Kiomjian, F. Jordan Srour and Issam Srour |
| Summary: | Labour productivity depends on a wide variety of factors, some of which pertain to characteristics of the construction crews themselves. Several of these factors such as language and demographics are described in the literature as soft or intangible and are of stochastic nature. As such, traditional deterministic modelling techniques are not sufficient to capture the full picture of the factors that come into play when considering construction labour productivity. Agent based modelling (ABM), a simulation technique with growing popularity, presents a powerful candidate for modelling construction sites due to its properties and ability to consider social aspects. This paper demonstrates that ABM is an acceptable paradigm for studying the effect of both tangible and soft features on construction labour productivity. |
| Type: | regular paper |
| Year of publication: | 2017 |
| Keywords: | Labour Productivity, Agent Based Modelling, Social Networks, Simulation |
| Series: | jc3:2017 |
| Download paper: | /pdfs/LC3_2017_paper_112.pdf |
| Citation: | Daoud Kiomjian, F. Jordan Srour and Issam Srour (2017). Using ABM to Evaluate the Impact of Social Networks on Construction Labor Productivity. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 661-669, http://itc.scix.net/paper/lc3-2017-112 |
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