Study and Establish on Comprehensive Backtracking Model of Quality Control Based on the Hierarchical Classification

Abstract:

With the rapid development of world economy, the quality control of products becomes the core and key of competitivenessin the enterprise. The requirements of the complex quality control model are more urgent. Therefore, based on the background of the quality control of steelmaking and rolling material in metallurgy process industry, this paper presents a comprehensive backtracking model of quality control based on the hierarchical. Firstly, analyze the steelmaking and rolling process, then analyze and partition hierarchical operation structure. Secondly, introduce the comprehensive backtracking model, to establishbacktracking model ofthe quality control process. Finally, associatively combine the quality grading hierarchical system structure scheme with backtracking model of the quality control process, and apply it to the actual quality control. Its operation result shows that the classification control and coordination function of the model is good.

• Periodical: Applied Mechanics and Materials (Volume 473)
• Pages: 251-254
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.473.251
• Online since: December 2013
• Authors: You Ling Li, Hua Wang*
• Keywords: Comprehensive Backtracking Model, Hierarchical, Quality Control

References

[1] Wang Zhikai. GuoZongren. The Application of PLC Hierarchical Control in Comprehensive Control of Substation. Electro technical Journal(1) (2002).

[2] WEI Chao-ying. The Quality Control in the Back-track Database-creating Work. Sci-tech Information Development & Economy. Vol. 17(24) (2007).

[3] Zhou Guoxing. Application of Quality Function Deployment (QFD) in Quality Control of UAV. Journal of Nan Jing university of Aeronautics & Astronautics. Vol. 41 (z2) (2009).

[4] Tang Lan. The Quality control of composite pipe field during the welding process. Welding Technology. Vol. 41(1) (2012).

[5] WAN Bai-wu. Product Quality Model and Quality Control Model for Industries and Their Applications Acta Automatic a Sinica. Vol. 28(6) (2002).

[6] LIU Jun, QUAN Lin-si, LU Liang. Research on Quality Control Model of Process Planning for Machining. MODULAR MACHINE TOOL & AUTOMATIC MANUFACTURING TECHNIQUE. (9) (2006).

[7] Cao Weihua, Duan Ping, Wu Min, Xiang Jie. Intelligent control of iron ore sintering process based on a hierarchical configuration. CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT. Vol. 31(3) (2010).

[8] ZHU Hui-ming, HUANG Chao  YU Ke-ming, LIU Zai-hua, ZHAO Rui. Bayesian Quality Control for Autoregressive Moving-average Processes. JOURNAL OF HUNAN UNIVERSITY (NATURAL SCIENCES). Vol. 37(5) (2010).

[9] TAN Ming-xing, LIU Xian-hua, ZHANG Ji-yu, CHENG Xu. Non-overlapped Modulo Scheduling with Optimized Backtracking Model. Acta Electronica Sinica. Vol. 40(8) (2012).