dc.contributor.author |
Zheng, Pai |
en |
dc.contributor.author |
Xu, Xun |
en |
dc.contributor.author |
Xie, Sheng |
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dc.coverage.spatial |
Bali, Indonesia |
en |
dc.date.accessioned |
2017-05-26T04:14:46Z |
en |
dc.date.issued |
2016-01-01 |
en |
dc.identifier.citation |
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, 04 Dec 2016 - 07 Dec 2016. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE. 1070-1074. 01 Jan 2016 |
en |
dc.identifier.isbn |
978-1-5090-3665-3 |
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dc.identifier.issn |
2157-362X |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/33103 |
en |
dc.description.abstract |
Nowadays, effective and accurate analysis of customer requirements (CRs) is vital in the new product development process, especially in the early design stage, where corresponding changes can be made easily into the further development stages. Quality function deployment (QFD), acting as a customer-centric product development tool, is widely utilized in the product planning stage. Despite its “House of Quality” (HoQ) matrix support, it lacks a specific method in analyzing incomplete or imprecise customer preference of CRs. Though many methods have been proposed, they either required much elaborate information (not effective) or relied much on the subjective interpretations by designers (not accurate). Aiming to solve the problem, this paper introduces a novel weighted preference graph (PG) approach to analyze incomplete customer preference information in QFD product planning stage. Both its analysis procedures and fusion of individual perceptions are described. An example of a respiratory mask development is given to validate the process. |
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dc.publisher |
IEEE |
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dc.relation.ispartof |
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
en |
dc.relation.ispartofseries |
2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
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dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
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dc.subject |
Science & Technology |
en |
dc.subject |
Social Sciences |
en |
dc.subject |
Technology |
en |
dc.subject |
Engineering, Industrial |
en |
dc.subject |
Management |
en |
dc.subject |
Operations Research & Management Science |
en |
dc.subject |
Engineering |
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dc.subject |
Business & Economics |
en |
dc.subject |
Preference graph |
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dc.subject |
relative importance rating |
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dc.subject |
customer-centric design |
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dc.subject |
quality function deployment |
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dc.subject |
product planning |
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dc.subject |
QUALITY FUNCTION DEPLOYMENT |
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dc.subject |
FUZZY |
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dc.title |
A Weighted Preference Graph Approach to Analyze Incomplete Customer Preference Information in QFD Product Planning |
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dc.type |
Conference Item |
en |
dc.identifier.doi |
10.1109/IEEM.2016.7798042 |
en |
pubs.begin-page |
1070 |
en |
dc.rights.holder |
Copyright: IEEE |
en |
pubs.end-page |
1074 |
en |
pubs.finish-date |
2016-12-07 |
en |
pubs.publication-status |
Published |
en |
pubs.start-date |
2016-12-04 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Conference Paper |
en |
pubs.elements-id |
611827 |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Mechanical Engineering |
en |
pubs.record-created-at-source-date |
2017-05-26 |
en |