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Quality Functioni Deployment (QFD) is a useful planning process in new product development. It achieves the maximum custom satisfaction through translating Voice of the Customer (VOC) into voice of the engineer in the House of Quality (HOQ), and ensures the customer focus from house to house translation. In QFD, the relationship matrix and correlation matrix are important pars, which will influence the final priorities of the technical response. According to the traditional methods, these matrices are determined by the people’s experience and filled with ordinal numbers. It would inevitably result in inaccuracy and curtness. Design of Experiments (DOE) is employed to determine the effect of variables on the process. In this paper, the author puts forward the idea of integrating DOE into the process of QFD. This integration helps to produce scientific decision and robust product design. A famework on QFD/DOE is presented and explanations are also made.

The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.

In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.

There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for cognitive support for knowledge‐based systems.

Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.