Using situational simulations to collect and analyze dynamic construction management decision-making data

  • Authors:
  • Matt Watkins;Amlan Mukherjee;Nilufer Onder

  • Affiliations:
  • Michigan Tech., Houghton, MI;Michigan Tech., Houghton, MI;Michigan Tech., Houghton, MI

  • Venue:
  • Proceedings of the 40th Conference on Winter Simulation
  • Year:
  • 2008

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Abstract

In this paper we lay the foundations for studying decision-making in complex dynamic construction management scenarios using situational simulations as experimental testbeds. We draw on research conducted in dynamic decision making, construction data-mining and situational simulations to develop methods to study human decision-making data collected in ICDMA - a situational simulation of a real four story steel frame office building construction project. Specifically, we address challenges in the collection, organization and analysis of human subject data. We define a discipline driving the collection of human decision-making data, establish a semantics to organize the data and a simple mathematical syntax to represent it. We also present an analysis of preliminary experimental work and show that our method can be used to analyze patterns in complex construction decision-making. Finally, we present an agenda of research in construction decision-making using situational simulations that can be conducted using our proposed methods.