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Intelligent Integrated Construction Project Management Group
Department of Architectural and Urban Systems Engineering, Ewha Womans University, Korea
I2CPM Group
Social netwrok analysis among constructon firms for overseas construction projects
Intelligent Integrated Construction Project Management (I2CPM) group aims at understanding project dynamics and developing management solutions in large-scale and complex projects, where a great number of people from diverse organizations are required to collaborate in order to accomplish project objectives. To this end, we keep attempting to devise new collaborative management principles and develop intelligent management systems to support effective coordination and communication using computer simulation (Agent-Based Modeling and Simulation, System Dynamics, Discrete Event Simulation), multi-agent systems, machine learning, evolutionary algorithms, wireless sensor networks, optimization techniques, game theory, and computer graphics. Our current research areas also include interdisciplinary disaster response in urban areas, autonomous and distributed coordination for agile project management, competitive engineering and management education through ICT.
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News

2018

2017

  • 2017.11.23 - Prof. Son presented at the Korean Association of Procurement and Supply Management Conference
  • 2017.6.21~23 - I2CPM attended the Practical Applications of Agents and Multi-Agent Systems held at Porto, Portugal
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Recently Published Paper
Title

BIM-integrated construction operation simulation for just-in-time production management

Author

WoonSeong Jeong, SooWoon Chang, JeongWook Son, and June-Seong Yi

Journal Name

Sustainability (SCIE, IF: 1.343)

Abstract

Traditional construction planning, which depends on historical data and heuristic modification, prevents the integration of managerial details such as productivity dynamics. Specifically, the distance between plan and execution brings cost overruns and duration extensions. To minimize variations, this research presents a BIM-integrated simulation framework for predicting productivity dynamics at the construction planning phase. To develop this framework, we examined critical factors affecting productivity at the operational level, and then forecast the productivity dynamics. The resulting plan includes specific commands for retrieving required information from BIM and executing operation simulations. It consists of the following steps: 1) preparing a BIM model to produce input data, 2) composing a construction simulation at the operational level, and 3) obtaining productivity dynamics from the BIM-integrated simulation. To validate our framework, we applied it to a structural steel model; this was due to the significance of steel erections. By integrating BIM with construction operation simulations, we were able to create reliable construction plans that adapted to project changes. Our results show that the developed framework facilitates the reliable prediction of productivity dynamics, and can contribute to improved schedule reliability, optimized resource allocation, cost saving associated with buffers, and reduced material waste.

(Full paper information...)

Related Links

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Department of Architectural and Urban Systems Engineering
Ewha Womans University

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Department of Construction Management
University of Washington

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Sustainable, Strategic, Smart Construction Lab
Ewha Womans University

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Construction Management & Information Lab
Yonsei University

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Dynamic Project Management Group
University of Michigan

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Contact Information

Intelligent Integrated Construction Project Management Lab
Asan Engineering Hall #533
Ewha Womans University
52 Ewhayeodae-Gil, Seodaemun-Gu
Seoul, South Korea, 03760
Email: jwson@ewha.ac.kr
Tel: 02) 3277-3471
Fax: 02) 3277-4095