A Combined QFD and Fuzzy Integer Programming Framework to Determine Attribute Levels for Conjoint Study
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Publisher
Springer Netherlands
Link
http://link.springer.com/content/pdf/10.1007/978-90-481-2860-0_13.pdf
Reference23 articles.
1. Akao, Y., 1990. QFD: Integrating Customer Requirements into Product Design. Cambridge, MA: Productivity Press.
2. Baier, D. and Brusch, M., 2005a. Linking Quality Function Deployment and Conjoint Analysis for New Product Design. In: Studies in Classification, Data Analysis, and Knowledge Organization, Vol. 29, 189–198.
3. Baier, D. and Brusch, M., 2005b. Improving the Predictive Validity of Quality Function Deployment by Conjoint Analysis: A Monte Carlo Comparison. Operations Research Proceedings, 619–624.
4. Bailey, M. G and Gillett, B. E, 1980. Parametric Integer Programming Analysis. Journal of the Operational Research Society, 31, 253–262.
5. Chaudhuri, A. and Bhattacharyya, M., 2008. ‘A Combined QFD and Integer Programming Framework to Determine Attribute levels for Conjoint Study, Accepted, International Journal of Production Research.
Cited by 2 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. Quality function deployment: more than a design tool;International Journal of Quality and Service Sciences;2019-06-12
2. A Combined QFD and Fuzzy Integer Programming Framework to Determine Attribute Levels for Conjoint Study;Product Research;2009
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