Defuzzification of fuzzy intervals
Fuzzy Sets and Systems
Fuzzy logic and optimization models for implementing QFD
Proceedings of the 23rd international conference on on Computers and industrial engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Selection of appropriate defuzzification methods using application specific properties
IEEE Transactions on Fuzzy Systems
An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Innovative product design based on customer requirement weight calculation model
International Journal of Automation and Computing
Integrating preference analysis and balanced scorecard to product planning house of quality
Computers and Industrial Engineering
Determining the final priority ratings of customer requirements in product planning by MDBM and BSC
Expert Systems with Applications: An International Journal
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
Rough set-based approach for modeling relationship measures in product planning
Information Sciences: an International Journal
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Quality function deployment (QFD) has been widely used to translate customer requirements to a product's technical attributes. Correctly rating the importance of every customer requirement is essential to the QFD process because it will largely affect the final target value of a product's technical attributes. This paper proposes a new customer requirements ranking method that considers competitors' information. In today's competitive environment, there are usually several products to fulfill certain functions. The success of a product depends not only on whether it meets the customer requirements, but also on how it compares with competitor products. Most previous methods focus only on the customer perspective, and ignore the competitive environment. The proposed method considers competition position, current performance and customers' viewpoint to produce the ratings. In addition, this method uses fuzzy mathematics instead of crisp numbers to capture the true customer requirements. Compared with previous methods, this method is more meaningful and provides companies with a way to find the best product design strategy. A numerical example is shown to illustrate the approach.