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author:

Wang, Ying-Ming (Wang, Ying-Ming.) [1] | Chin, Kwai-Sang (Chin, Kwai-Sang.) [2]

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EI

Abstract:

Fuzzy quality function deployment (QFD) has been extensively used for translating customer requirements (CRs) into product design requirements (DRs) in fuzzy environments. Existing approaches, however, for rating technical importance of DRs in fuzzy environments are found problematic, either incorrect or inappropriate. This paper investigates how the technical importance of DRs can be correctly rated in fuzzy environments. A pair of nonlinear programming models and two equivalent pairs of linear programming models are developed, respectively, to rate the technical importance of DRs. The developed models are examined and illustrated with two numerical examples. © 2011 Elsevier Ltd. All rights reserved.

Keyword:

Linear programming Nonlinear programming Product design Quality function deployment Statistical methods

Community:

  • [ 1 ] [Wang, Ying-Ming]Institute of Decision Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Chin, Kwai-Sang]Department of Systems Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong

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Source :

Computers and Mathematics with Applications

ISSN: 0898-1221

Year: 2011

Issue: 11

Volume: 62

Page: 4207-4221

1 . 7 4 7

JCR@2011

2 . 9 0 0

JCR@2023

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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