Coping with Group Behaviors in Uncertain Quality Function Deployment-Reference-Cited by-同舟云学术

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Coping with Group Behaviors in Uncertain Quality Function Deployment

Published:2014-12 Issue:6 Volume:45 Page:1025-1052
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Yan Hong-Bin¹,Ma Tieju¹,Huynh Van-Nam²

Affiliation:

1. School of Business; East China University of Science and Technology; Shanghai 200237 P.R. China

2. School of Knowledge Science; Japan Advanced Institute of Science and Technology; Nomi City Ishikawa 923-1292 Japan

Funder

National Natural Sciences Foundation of China (NSFC)

Shanghai Pujiang Program

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Reference37 articles.

1. The leading edge in QFD: Past, present and future;Akao;International Journal of Quality & Reliability Management,2003

2. A systematic approach to quality function deployment with a full illustrative example;Chan;Omega,2005

3. Fuzzy nonlinear models for new product development using four-phase quality function deployment processes;Chen;IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans,2011

4. Fuzzy approaches for constructing house of quality in QFD and its applications: A group decision-making method;Chen;IEEE Transactions on Engineering Management,2012

5. Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator;Chen;European Journal of Operational Research,2006

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An optimization method for handling incomplete and conflicting opinions in quality function deployment based on consistency and consensus reaching process;Computers & Industrial Engineering;2024-01

2. Consensus-driven methodology to managing diversity and complex linguistic ratings in quality function deployment: An optimization-based approach;Journal of the Operational Research Society;2022-10-11

3. Coping with diversity ratings in prioritizing design requirements in quality function deployment: A consensus-based approach with minimum-maximum adjustments;Computers & Industrial Engineering;2022-01

4. Integrating a prospect theory-based consensus-reaching process into large-scale quality function deployment and its application in the evaluation of contingency plan;Journal of Intelligent & Fuzzy Systems;2021-08-11

5. A Redesign Decision Model for Large-Scale Complex Sustainment-Dominated Systems;IEEE Transactions on Engineering Management;2021

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