A new approach to quality function deployment planning with financial consideration
Computers and Operations Research
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Ranking of customer requirements in a competitive environment
Computers and Industrial Engineering
Computers and Industrial Engineering
Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Robustness indices and robust prioritization in QFD
Expert Systems with Applications: An International Journal
Integration of environmental considerations in quality function deployment by using fuzzy logic
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An evidential reasoning based approach for quality function deployment under uncertainty
Expert Systems with Applications: An International Journal
Advanced Engineering Informatics
Information Sciences: an International Journal
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
Hi-index | 12.05 |
Quality function deployment (QFD), as a customer-driven tool, has been widely used to translate customer requirements (CRs) into engineering characteristics (ECs) in product improvement. Product planning house of quality (PPHOQ) is of fundamental and strategic importance in the QFD system. Correctly rating the final importance of CRs is essential to PPHOQ construction process because it will largely affect the target value of ECs for mature-period (MP) product improvement. To exploit competitive information of MP products, this paper is to develop a comprehensive and systematic methodology to rate the final importance of CRs for MP product improvement, on the basis of improved maximal deviation approach for dealing with the corporations' performance estimations on CRs, and the integration of AHP and scale method for estimating the importance ratings of achieving the improvement targets of performance estimations of CRs. Finally, a case study is provided to illustrate the effectiveness of the presented method.