Current Status and Analysis of the Study on Quality Control

Abstract:

During the past years, Automatic control theory was founded. Especially in the foundation of engineering control theory, control science has formed a number of branches, such as population control, large system cybernetics, biological control and etc. Quality control of product in its whole life cycle is an important research object, especially driver development strategy in national innovation, quality and efficiency should be more collaborative developing. However, that several major engineering practice, the quality control of the situation is very serious, and urgent need to further study on the quality control theory.This paper puts focus on quality control and surveys the source of quality control, especially makes attentions to the development of theory method among quality control, control theory and engineering control theory, and then shows the developing map between quality control and control theory and finds that the quality control system caused by the fusion between quality control and control theory is one new method to break the bottleneck and suggests 4 block models of the quality control system.

• Periodical: Applied Mechanics and Materials (Volume 697)
• Pages: 493-498
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.697.493
• Online since: November 2014
• Authors: Guo Cai Liu*, Hong Xun Pang, Xin Feng Xu
• Keywords: Engineering Control Theory, Quality Control, Quality Control System

References

[1] Qin Ping. High quality, brand and certification and Accreditation Council -interview with original counselor, famous quality and standard of expert Professor Lang Zhizheng. Chinese ship inspection, 2011. 5: 22-24.

[2] Zhang Weiji, Qin Shijia and Han Zhijun. Quality control. Science Press, (1988).

[3] Gong Yuan. Military quality engineering . National Defence Industry Press, (2008).

[4] Simon, Leslie. Quality control and the war. Electrical engineering, 1942, Vol. 61, No. 9: 449-452.

[5] Jia Zhitao. Thinking of  the space quality work under the new situation . Aerospace industry management, 2010. 9: 24-29.

[6] Yang Mengfei. Aerospace Enterprise Quality Management Maturity Model . Chinese Aerospace Press, (2012).

[7] Yang Fang, Liu Xinna, Pei Yuqi. Analysis on the effective use of resources of petroleum and petrochemical accident case. Safety, 2013. 2: 10-13.

[8] Du Hongyan, Wang yanping, Lu Junchen. Statistical analysis ofdomestic and foreign petrochemical industry accidents in 2012. Chinese of safety science and technology, 2013. Vol. 9 No. 6: 184-188.

[9] Zhang Gongxu. Seventy years of quantity control and diagnosis . quality and reliability, 1998, 4: 23-27.

[10] Zhang Gongxu. One hundred years of quality management process and the current situation of quality management. quality and reliability, 2004, 3: 17-20.

[11] Su Qiang, Chen Jian. Hierarchical model for quality management . Journal of Tsinghua University (NATURAL SCIENCE EDITION), 1999, Vol. 39, No. 10: 124-127.

[12] Charles s. Tapiero. Quality control by the optimal control of a discrete-state stochastic process[J]. International journal of production research, 1986, Vol. 24, No. 4: 927-937.

DOI: 10.1080/00207548608919777

[13] Charles s. Tapiero , LIE-FERN HSU. Quality control of the M/M/1 queue[J]. International journal of production research, 1987, Vol. 25, No. 3: 447-455.

[14] JAN NICO BLAUW, WILLEM E. DURING. Adoption of an organizational innovation_ total quality control in industrial firms[J]. International journal of production research, 1990, Vol. 28, No. 10: 1831-1846.

DOI: 10.1080/00207549008942837

[15] A. PESCH. An evaluation of the Taguchi's method for on-line quality control[J]. International journal of production research, 1994, Vol. 32, No. 2: 263-272.

[16] K. Jenab, P. ahi. Fuzzy quality feature monitoring model[J]. International journal of production research, 2010, Vol. 48, No. 17: 5021-5030.

DOI: 10.1080/00207540903117907

[17] H. Lodding. A manufacturing control model[J]. International journal of production research, 2012, Vol. 50, No. 22: 6311-6328.

[18] Li Huan-qin, Wan Bai-wu. Using high dimension wavelet neural network model product quality for hot rolling mill[J]. Chinese journal of engineering mathematics, 2006, Vol. 23, No. 4: 614-6.