DocumentCode :
1910900
Title :
Strategy optimization and generation for construction project management using an interactive simulation
Author :
Tang, Pei ; Mukherjee, Amlan ; Onder, Nilufer
Author_Institution :
Dept. of Civil & Environ. Eng., Michigan Tech., Houghton, MI, USA
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
3088
Lastpage :
3099
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 improvement in cost and duration management, validating the feasibility of strategy optimization through interactive simulation.
Keywords :
civil engineering computing; data analysis; decision making; decision support systems; digital simulation; interactive systems; learning (artificial intelligence); optimisation; project management; construction project management; data analysis; data collection; interactive construction decision making aid; interactive simulation; internal dynamic feedback; learning from experience; optimization; Analytical models; Data models; Decision making; Hybrid power systems; Materials; Schedules; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
ISSN :
0891-7736
Print_ISBN :
978-1-4244-9866-6
Type :
conf
DOI :
10.1109/WSC.2010.5679002
Filename :
5679002
Link To Document :
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