Indian Journal of Science and Technology
DOI: 10.17485/ijst/2014/v7i1.11
Year: 2014, Volume: 7, Issue: 1, Pages: 53-62
Original Article
Farahbod Mohammadi1 , Fatemeh Nateghi1 , Seyed Pourya Pourhejazi2 , Arham Abdullah3*, Nouredin Gandomi4 and Mohammadali Kazerooni Sadi1
1Department of Structure & Materials, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor, 81310, Malaysia
2Department of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor, 81310, Malaysia
3Associated Professor of Civil Enginnering, Department of Structure & Materials, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor, 81310, Malaysia
4Civil Engineering Department, Research Institute of Shakhes Pajouh, Isfahan, Iran
*Author for the correspondence:
Arham Abdullah
Associated Professor of Civil Enginnering, Department of Structure & Materials, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor, 81310, Malaysia
E-mail: [email protected]
Quality Function Deployment (QFD) is a customer oriented design tool used to ensure that customer expectations are satisfied in the early design stage. Customers directly and companies indirectly enjoy the benefits of implementing such methodology. Many extensions have been proposed in order to extend QFD’s application or improve limitation of traditional QFD; among which incorporation of Multi–Criteria Decision Making (MCDM) theories into QFD, in particular Analytic Network Process (ANP) is noteworthy. This paper proposes a new extension of QFD called Fuzzy Cybernetic ANP (FCANP) which is able to model QFD tables, especially when company’s experts deal with a large number of customer demands, while subjectivity of judgments are handled.
Keywords: Fuzzy Cybernetic Analytic Network Process (FCANP), Part Deployment, Quality Function Deployment (QFD)
Subscribe now for latest articles and news.