Ma, L;
Sacks, R;
(2016)
Agent-based simulation of construction workflows using a relational data model.
In: Pasquire, CL and Alves, T da C.L. and Reginato, JM, (eds.)
Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC 24).
(pp. pp. 73-82).
International Group for Lean Construction (IGLC): Boston, MA, USA.
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Abstract
To what extent is uncertainty concerning process status a cause of waste in construction workflows? Work studies and action research are expensive methods for investigation of such questions concerning construction workflow control policies and their results have limited applicability. Agent-based simulation (ABS) is particularly suitable for modelling peoples' behavior and interaction in complex settings, like in construction, and therefore represents an alternative. We present a parametric ABS system (EPIC 2.0) developed using a relational data model for modelling construction workflow; the model enables users to specify the construction subjects (subcontractor trade crews), their work methods, the amount of work, the workspaces (locations), dependencies between the works, etc. The simulation encapsulates both variability and uncertainty in the construction workflow. Variability arising from design changes, quality checks and working conditions may lead to random change in workload and performance. Uncertainty arises from the fact that agents do not have full or perfect information. The major advantages of this ABS system are its ability to run differently configured virtual projects in terms of work crews, locations and production system control policies and to test the relative impacts of various approaches to communication of process status information. Simulation results conclude information asymmetry causes erroneous task maturity judgments and inappropriate work assignments, and of course affects the construction workflow.
| Type: | Proceedings paper |
|---|---|
| Title: | Agent-based simulation of construction workflows using a relational data model |
| Event: | 24th Annual Conference of the International Group for Lean Construction (IGLC 24), 20-22 July 2016, Boston, MA, USA |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://iglc.net/Papers/Details/1251 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Agent-based simulation; construction workflow; uncertainty; relational data model |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett Sch of Const and Proj Mgt |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10083740 |
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