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Strategy optimization and generation for construction project management using an interactive simulation

Published: 05 December 2010 Publication History

Abstract

Construction activities are exposed to unpredictable external events and internal dynamic feedbacks of constraints which deviate projects from as-planned duration and costs. In practice, various decisions have been used to minimize the impacts of risks. Learning from experiences is valuable which requires historical data collection and analysis. To avoid the high cost in direct data collection and difficulties in studying single decision impacts, we present an alternative to study and optimize decision strategies. Interactive Construction Decision Making Aid (ICDMA) is an interactive simulator which allows users to implement different decision strategies on the defined projects. All the project information and decision data in the simulation are recorded electronically. We started with five candidate strategies and analyzed data for general patterns. New hybrid strategies were generated based on the data analysis. Reimplementation of new strategies showed improvementin cost and duration management, validating the feasibility of strategy optimization through interactive simulation.

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Cited By

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  • (2013)Construction schedule simulation for improved project planningProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676382(3237-3248)Online publication date: 8-Dec-2013
  • (2011)Using schedule simulation approaches to reduce greenhouse gas emissions in highway construction projectProceedings of the Winter Simulation Conference10.5555/2431518.2431613(805-815)Online publication date: 11-Dec-2011

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      cover image ACM Conferences
      WSC '10: Proceedings of the Winter Simulation Conference
      December 2010
      3519 pages
      ISBN:9781424498642

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      Published: 05 December 2010

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      December 5 - 8, 2010
      Maryland, Baltimore

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      WSC '10 Paper Acceptance Rate 184 of 281 submissions, 65%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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      • (2013)Construction schedule simulation for improved project planningProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676382(3237-3248)Online publication date: 8-Dec-2013
      • (2011)Using schedule simulation approaches to reduce greenhouse gas emissions in highway construction projectProceedings of the Winter Simulation Conference10.5555/2431518.2431613(805-815)Online publication date: 11-Dec-2011

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