Agent-Based Simulation of Construction Workflows Using a Relational Data Model

Ling Ma, Rafael Sacks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

LanguageEnglish
Title of host publicationProceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016)
PublisherNational Pingtung University of Science and Technology
Pages73-82
Number of pages10
Publication statusPublished - 2016
Externally publishedYes
Event24th Annual Conference of the International Group for Lean Construction: On the Brink of Lean Revolution - Boston, United States
Duration: 18 Jul 201624 Jul 2016
Conference number: 24
http://iglc2016.com/wp-content/uploads/2017/05/2016-07-16-IGLC-Conference-Program.pdf (Link to Conference Programme)

Conference

Conference24th Annual Conference of the International Group for Lean Construction
Abbreviated titleIGLC 2016
CountryUnited States
CityBoston
Period18/07/1624/07/16
Internet address

Fingerprint

Data structures
Control systems
Communication
Uncertainty

Cite this

Ma, L., & Sacks, R. (2016). Agent-Based Simulation of Construction Workflows Using a Relational Data Model. In Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016) (pp. 73-82). National Pingtung University of Science and Technology.
Ma, Ling ; Sacks, Rafael. / Agent-Based Simulation of Construction Workflows Using a Relational Data Model. Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016). National Pingtung University of Science and Technology, 2016. pp. 73-82
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Ma, L & Sacks, R 2016, Agent-Based Simulation of Construction Workflows Using a Relational Data Model. in Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016). National Pingtung University of Science and Technology, pp. 73-82, 24th Annual Conference of the International Group for Lean Construction, Boston, United States, 18/07/16.

Agent-Based Simulation of Construction Workflows Using a Relational Data Model. / Ma, Ling; Sacks, Rafael.

Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016). National Pingtung University of Science and Technology, 2016. p. 73-82.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Ma L, Sacks R. Agent-Based Simulation of Construction Workflows Using a Relational Data Model. In Proceedings of the 24th Annual Conference of the International Group for Lean Construction (IGLC), (Boston, MA, USA, 20-22 July 2016). National Pingtung University of Science and Technology. 2016. p. 73-82