Considering the demands for product ergonomics design, the paper proposed a driven design method for product’s shape and structure design through the manipulation of human body models. Based on the anthropometry data, a parametric human body driving model system is established with three layers, which are structure model, dimension model and surface model. The driven design method of product ergonomics design is realized, in which human body data are directly mapped to product design parameters. The driven design method provides a rational way to utilize ergonomics design principles and guarantee higher efficiency and more reliability. The method is tested in seat design examples.

With the increasing development of online shopping, enterprises pay more attention to e-commerce. This study, from the perspective of online consumer lifestyle, we established online consumer lifestyle models, clustered online consumers into 4 groups called reasonable savers, traditional life group, brand- guided group and free casual group. From the results, we know that different factors have the different degrees of the influence on different consumer groups. The main factors that impact consumers most is reputation factors, followed by marketing factors, and design factors.

This paper reports the work of web-based auto-design machining process of special bearing. A template-based process planning method is proposed for auto generating machining process of special bearing, including turning process and grinding process of inner ring or outer ring. Process templates are customized to generate process, procedures size and size tolerance are calculated according to procedure size database. A web-based process planning system is developed based on the proposed method. The use of the system is illustrated with an example.

Considering the requirements for efficiency and precision in the forklift styling, the authors developed the forklift optimizing system for its styling based on the interactive genetic algorithms (IGA). The system includes parameter optimization, color optimization and part combination three modules. The parameter optimization module can find the user defined parameters of the forklift 3D models and generate new models. Color optimization module can group the model surfaces and render the groups with different color. New color plans are generated through random changing of the colors in each group. The parts combination module divides forklift into several parts and build lib for each part. The module can pick parts from the lib and assemble them into a whole forklift and demonstrate them. The thesis developed a protosystem on the Solidworks platform with VBA programming tools. Interactive genetic algorithms are applied to realize the three module’s function.