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Abstract
This paper introduces an automated tool, the stochastic quality-cost optimization (SQCO) system, that hybridizes multi-objective genetic algorithm (MOGA) and Quality Function Deployment (QFD). The system identifies the optimal trade-off between a construction owner's satisfaction and a contractor's satisfaction. It is important to reconcile the project participants’ conflicting interests because the construction owner aims to maximize the quality of construction while the contractor aims to minimize the cost of construction. MOGA is used to optimize resource allocation when owner satisfaction and contractor satisfaction are pursued at the same time under a limited budget. Multi-objective optimization is integrated with simulation to effectively deal with the uncertainties of the QFD input and the variability of the QFD output. This study is of value to practitioners because SQCO allows for the establishment of a quality plan that satisfies all of the multi project participants. The study is also of relevance to researchers in that it allows researchers to expeditiously identify an optimal design alternative of construction methods and operations. A test case implemented with a curtain-wall unit verifies the usability and validity of the system in practice.
Additional information
Notes on contributors
Tae-Kyung Lim
Tae-Kyung LIM. PhD, is a research fellow in the School of Architecture and Civil Engineering at Kyungpook National University. He is currently working on a research project whose objective is to develop construction quality-cost optimization system using stochastic simulation techniques.
Won-Suk Jang
Won-Suk JANG. PhD is an Assistant Professor in the Department of Civil Engineering, College of Engineering at Yeungnam University, South Korea. Member of Korean Society of Civil Engineers (KSCE), Korea Institute of Construction Engineering and Management (KICEM), Korean Society of Ubiquitous Monitoring (KSUM), and Korean Institute of Building Information Modeling (KIBIM). His research interests include IT-based Civil and Infrastructure Engineering and Management, such as applications of wireless sensor network, IT-based maintenance systems, and construction assets tracking.
Jae-ho Choi
Jae-ho CHOI. PhD is an Assistant Professor in the Department of Civil Engineering, College of Engineering at Dong-A University, South Korea. Member of Korean Society of Civil Engineers (KSCE) and Korea Institute of Construction Engineering & Management (KICEM). His research interests are divided into two broad categories: (1) Quality management process improvement using 3D Engineering technology in the domain of civil infrastructure and plant facility, and (2) Analysis of Integrated Business (IB) model and its variations in Public-Private Partnership (PPP) infrastructure projects.
Dong-Eun Lee
Dong-Eun LEE. PhD, ISO 9000 QMS Auditor, had worked for School of Engineering at Southern Illinois University Edwardsville (SIUE) in USA as an Assistant Professor. He is a tenured Professor in the School of Architecture and Civil Engineering at Kyungpook National University, South Korea. Member of American Society of Civil Engineers (ASCE), Korean Society of Civil Engineers (KSCE), Korea Institute of Construction Engineering and Management (KICEM), and Architectural Institute of Korea, etc. His research interests include: (1) Construction business process modeling and automation; (2) Workflow Management Systems (WfMS) in construction; (3) Simulation based scheduling method; (4) Stochastic simulation and Quantitative analysis; (5) Construction quality and safety. Dr. Lee's major research effort has been focusing on developing and employing simulation techniques for resolving issues in construction. His research interest also includes Expert system and general computer applications in construction.