Quality Function Deployment for Buildable and Sustainable Construction

Dr. Natee Singhaputtangkul is presently a Lecturer in Built Environment, School of Engineering and Technology, Central Queensland University, Australia. He holds a PhD degree in Project Management from the National University of Singapore with an education background in Engineering. He possesses several years of working experience as a Business Analyst, Engineer and Project Manager. He has also published papers in various leading international peer‐reviewed journals. His research interest covers topics such as Quality Function Deployment QFD), construction technology, decision support system, and procurement management. Dr. Low Sui Pheng is presently Professor of Building in the School of Design and Environment, National University of Singapore where he has previously served as Head and Vice‐Dean. He teaches construction project management and has published, researched and consulted extensively both in Singapore and overseas. A Fellow of the Chartered Institute of Building, he holds a DSc degree from the University of Birmingham and a PhD degree from University College London. He currently serves as Director for the Centre for Project Management and Construction Law in NUS. Dr. Evelyn Teo is presently Associate Professor of Building in the School of Design and Environment, National University of Singapore where she has previously served as Programme Director for the Bachelor of Science programme in Project and Facilities Management and Director of Extern al Affairs. She has many years of professional experience in the construction industry and has participated in building research works in Australia, Hong Kong, South Korea, Singapore and Taiwan. She currently serves as Co‐Director for the NUS Centre of Excellence in Building Information Modelling (BIM).

Introduction.- Decision Making and Quality Function Deployment (QFD).- Criteria for Assessment of Building Envelopes.- Building Envelope Materials and Designs.- Conceptual Framework.- Research Methodology.- Survey Results.- Prototype of the KBDSS-QFD Tool and Case Studies Results.- Conclusions.