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