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author:

Chin, K.-S. (Chin, K.-S..) [1] | Wang, Y.-M. (Wang, Y.-M..) [2] | Yang, J.-B. (Yang, J.-B..) [3] | Gary, Poon, K.K. (Gary, Poon, K.K..) [4]

Indexed by:

Scopus

Abstract:

Quality function deployment (QFD) is a methodology for translating customer wants (WHATs) into relevant engineering design requirements (HOWs) and often involves a group of cross-functional team members from marketing, design, quality, finance and production and a group of customers. The QFD team is responsible for assessing the relationships between WHATs and HOWs and the interrelationships between HOWs, and the customers are chosen for assessing the relative importance of each customer want. Each member and customer from different backgrounds often demonstrates significantly different behavior from the others and generates different assessment results, complete and incomplete, precise and imprecise, known and unknown, leading to the QFD with great uncertainty. In this paper, we present an evidential reasoning (ER) based methodology for synthesizing various types of assessment information provided by a group of customers and multiple QFD team members. The proposed ER-based QFD methodology can be used to help the QFD team prioritize design requirements with both customer wants and customers' preferences taken into account. It is verified and illustrated with a numerical example. © 2008 Elsevier Ltd. All rights reserved.

Keyword:

Evidential reasoning; Group decision making; Preference programming; Quality function deployment; Uncertainty modeling

Community:

  • [ 1 ] [Chin, K.-S.]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, Hong Kong
  • [ 2 ] [Wang, Y.-M.]School of Public Administration, Fuzhou University, Fuzhou, 350002, China
  • [ 3 ] [Yang, J.-B.]Manchester Business School, The University of Manchester, Manchester, United Kingdom
  • [ 4 ] [Gary Poon, K.K.]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, Hong Kong

Reprint 's Address:

  • [Chin, K.-S.]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, Hong Kong

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Source :

Expert Systems with Applications

ISSN: 0957-4174

Year: 2009

Issue: 3 PART 1

Volume: 36

Page: 5684-5694

2 . 9 0 8

JCR@2009

7 . 5 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 72

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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