Title
An evidential reasoning based approach for quality function deployment under uncertainty
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.
Year
DOI
Venue
2009
10.1016/j.eswa.2008.06.104
Expert Syst. Appl.
Keywords
Field
DocType
group decision making,qfd team prioritize design,assessment information,cross-functional team member,uncertainty modeling,quality function deployment group decision making uncertainty modeling evidential reasoning preference programming,relevant engineering design requirement,qfd team,quality function deployment,proposed er-based qfd methodology,different behavior,evidential reasoning,different background,preference programming,different assessment result,multiple qfd team member,market design,engineering design
Computer science,Quality function deployment,Artificial intelligence,Engineering design process,Uncertainty modeling,Evidential reasoning approach,Machine learning,Process management,Group decision-making
Journal
Volume
Issue
ISSN
36
3
Expert Systems With Applications
Citations 
PageRank 
References 
28
0.88
21
Authors
4
Name
Order
Citations
PageRank
Kwai-Sang Chin1103354.69
Ying-Ming Wang23256166.96
Jian-Bo Yang33832203.05
Ka Kwai Gary Poon4280.88