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Xue-rui Li [1] and Sui-huai Yu [1] and Jian-jie Chu [1] and Deng-kai Chen [1] and Lin-jian Wu [1]

Academic Editor: Yong Zhou

Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi’an 710072, China, nwpu.edu.cn

Received Jul 19, 2017; Revised Oct 17, 2017; Accepted Oct 25, 2017

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

Essentially, the product design is a process that designers and engineers use their design knowledge and experience to solve problems on the basis of demand analysis. The process is based on multidomain knowledge creation activities and aimed at building multiple qualities for products, services, and systems that constitute the entire life cycle. However, with the development of information technology, the design process has become extremely complex because of the complexity of object of product. The design process of modern products has evolved into a continuous and complex cognitive process that covers such diverse fields as aesthetics, psychology, behavioral cognition, biology, mechanical engineering, and human engineering. This change requires designers to begin to control the whole product design cycle in the early stage of design process.

The product design process which is the most creative and important stage during the product life cycle determines the final level of product innovation and market success rate. However, a survey [1] shows that designers spend the majority of their time managing design knowledge and less time doing design and analytic work where they can use their specialized expertise to create the greatest value for projects; the results of the survey are shown in Figure 1.

[figure omitted; refer to PDF]

With increasing complexity in design process, it needs optimization team and broad interdisciplinary knowledge to support the creation of designer creative scheme in the design process. It is necessary to rely on accurate intelligent push of knowledge to assist designers in their creative work rather than relying solely on the designer’s independent behavior. The double push strategy of knowledge for product design is proposed which aims to assist designers in innovative behavior and design process rather than automation of innovative design.

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