Analysis and Estimation of Processes Capacity Based on Quality Control

Abstract:

Under the conditions of the mode of production drifting towards extensive collaboration mode, the process capacity oriented to machining factory should be analyzed and estimated, which is the essential precondition for factory to decide whether to accept a piece of manufacturing order form. Based on the situation, with the production quality checking and analysis focused, a kind of process capacity analysis and estimation was brought forward for the collaborational machining factory under the mode of quality control. The model based on quality driven for the process capacity estimation was provided to solve the critical problem. And the network service system of process capacity estimation was established, by making full use of quality function analysis (QFD), similar procedure query and rough set theory combined with the character parameters such as work-part size tolerance, surface roughness, manufacturing time, cost and etc. Furthermore, some key enabling technologies were instigated in detail, including quality control technology oriented low volume customization and process capacity analysis technology based on rough set (RS) theory.

• Periodical: Applied Mechanics and Materials (Volumes 16-19)
• Pages: 1064-1070
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.16-19.1064
• Online since: October 2009
• Authors: Hu Li, Wen Zheng Wu, Wan Shan Wang
• Keywords: Approximately Query, Process Capacity, Quality Control, Rough Set (RS)

References

[1] H.Z. Jia, S.K. Ong, J.Y.H. Fuh, Y.F. Zhang and A.Y.C. Nee: Robotics and Computer-Integrated Manufacturing, 2004, 20 (8), pp.79-90.

DOI: 10.1016/j.rcim.2003.08.001

[2] S. Martin and F. John: International Journal for Operations & Production Management, 2000, 20(4), pp.441-467.

[3] J.D. Shang and K.N. Chen: China Mechanical Engineering, 2000, 11 (1-2), pp.1394-1398.

[4] J.M. Li, T. Freiheit and S.J. Hu: Journal of Manufacturing Science and Engineering, 2007, 12 (9), pp.1088-1096.

[5] S. Zhang and D.S. Lin: China Mechanical Engineering, 1998, 9 (2), pp.68-71.

[6] S.Z. Yang, B. Wu, C.H. Hu and T. Chen: Network Manufacture and Enterprise Integration. China Mechanical Engineering, 2000, 11(1-2), pp.45-48.

[7] M.S. Fox and Smith S F. ISIS: Expert System, 1998, 4 (1), pp.25-49.