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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 6 > No. 6-3S


Bearing Manufacturing process quality knowledge study system based on GQM

PP: 799-805
Rong Song, Yong Xu,
In order to guarantee the functional influence of artificial action during the course of 5M1E bearing manufacturing process and increase the bearing machining quality and the rate of finished products, a new kind of quality and knowledge study system in bearing manufacturing process based on goal question metric (GQM) is proposed. According to the bearing manufacturing technical procedures, the functional targets in bearing manufacturing process are decomposed by using GQM method to obtain the requirements of bearing quality and knowledge study. In allusion to the requirements above, combining the workflow engine method, bearing manufacturing knowledge study functional frame model and knowledge performance model are established, and the executive function modules division and interactive data dependency relations are provided. By process-role-knowledge session configuration method, improve the tightness and vertical depth of bearing quality knowledge, and the specific quality management service for users is realized by role-based access control (RABC) method. Experiments prove that this method can realize the functions of on-line management, dynamic correlation and rule production for bearing quality knowledge, and provide effective technical support for improving bearing manufacturing process management efficiency and product quality.

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