DocumentCode
3374578
Title
Fuzzy quality function deployment (FQFD) to assess student requirement in engineering institutions: An Indian prospective
Author
Upadhyay, Rajeev K. ; Raj, K. Hans ; Dwivedi, Suren N.
Author_Institution
Dept. of Mech. Eng., Anand Eng. Coll., Agra, India
fYear
2012
fDate
25-27 June 2012
Firstpage
364
Lastpage
368
Abstract
Quality is a complex and multifaceted concept. It is being increasingly recognized that high quality of products and services and their associated customer satisfaction are the key elements for survival of any organization. It is the basis that differentiates between a mediocre and an excellent organization. This concept is equally important for an engineering education system. The present paper hybridizes QFD with fuzzy dominance order to assess the student requirements in engineering education system. It uses content analysis and nominal group technique (NGT) to identify requirements. Fuzzy dominance order has been used to establish democratic wisdom to identify customer requirements. Relation matrix used in traditional QFD has been replaced with aggregated fuzzy relation matrix to justify subjective responses. The results obtained by this approach and traditional QFD approach are compared using Interpretive Structural Model (ISM) for deployable elements of technical requirements as yardstick.
Keywords
customer satisfaction; customer services; educational institutions; engineering education; fuzzy set theory; matrix algebra; product quality; quality function deployment; FQFD; content analysis; customer requirements; customer satisfaction; customer services; democratic wisdom; engineering education system; engineering institutions; fuzzy dominance order; fuzzy quality function deployment; fuzzy relation matrix; nominal group technique; product quality; student requirements assess; Educational institutions; Engineering education; Mechanical engineering; Organizations; Planning; Pragmatics; Quality function deployment; Cost to Company (CTC); Fuzzy Quality Function Deployment (FQFD); Fuzzy dominance; Interpretive Structural Model (ISM); Quality assurance;
fLanguage
English
Publisher
ieee
Conference_Titel
Technology Management Conference (ITMC), 2012 IEEE International
Conference_Location
Dallas, TX
Print_ISBN
978-1-4673-2133-4
Electronic_ISBN
978-1-4673-2132-7
Type
conf
DOI
10.1109/ITMC.2012.6306364
Filename
6306364
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