Abstract
To track and control the changes of process quality attributes in multistage machining processes (MMPs), an e-quality control (e-QC) model is proposed. The e-QC model is defined as a quality information service node with e-formalizing technology, whose input/output and intermediate process (that is IPO) are known to other nodes, and its implemention in MMPs is provided. In order to establish the e-QC model, a measuring network is constructed to acquire the original quality data, and the changes of process quality attributes are monitored and diagnosed by the integrated quality analysis tools attached to the e-QC, which can be tracked by information template network in real time. Furthermore, a hierarchical control method is adopted to coordinate e-QCs, in which the quality loss and adjusting cost are used to quantify the opportunities for e-QCs to improve process quality. At last, a prototype is developed to verify the proposed methods.
Similar content being viewed by others
References
Li J, Freiheit T, Hu S J, et al. A quality prediction framework for multistage machining processes driven by an engineering model and variation propagation model. J Manuf Sci Eng-Trans ASME, 2007, 129(6): 1088–1100
Inman R R, Blumenfeld D E, Huang N, et al. Designing production systems for quality: research opportunities from an automotive industry perspective. Int J Prod Res, 2003, 41(9): 1953–1971
Jin J, Shi J. State space modeling of sheet metal assembly for dimensional control. J Manuf Sci Eng-Trans ASME, 1999, 121(4): 756–762
Huang Q, Shi J, Yuan J. Part dimensional error ant its propagation modeling in multi-operational machining processes. J Manuf Sci Eng-Trans ASME, 2003, 125(2): 255–262
Zhou S, Huang Q, Shi J. State space modeling for dimensional monitoring of multistage machining process using differential motion vector. IEEE Trans Robot Autom, 2003, 19(2): 296–309
Tsung F. Impact of information sharing on statistical quality control. IEEE Trans Syst Man Cybern Paart A-Syst Hum, 2000, 30(2): 211–216
Kuo C H, Huang H P. Failure modeling and process monitoring for flexible manufacturing systems using colored timed Petri nets. IEEE Trans Robot Autom, 2000, 16(3): 301–312
Fenner J S, Jeong M K, Lu J C. Optimal automatic control of multistage production processes. IEEE Trans Semicond Manuf, 2005, 18(1): 94–103
Dhafr N, Ahmad M, Burgess B, et al. Improvement of quality performance in manufacturing organizations by minimization of product defects. Robot Comput-Integr Manuf, 2006, 22(5–6): 536–542
Ding Y, Elsayed E A, Kumara S, et al. Distributed sensing for quality and productivity improvements. IEEE Trans Autom Sci Eng, 2006, 3(4): 344–359
Moskowitz H, Plante R, Tang J. Allocation of quality improvement targets based on investments in learning. Nav Res Logist, 2001, 48(8): 684–709
Zantek P F, Wright G P, Plante R. Process and product improvement in manufacturing systems with correlated stages. Manage Sci, 2002, 48(5): 591–606
Zhang Y F, Jiang P Y. A web-based e-formalization method for legacy CNC machine tools (in Chinese). Comput Integr Manuf Syst-CIMS, 2004, 10(4): 447–452
Jiang P Y. Research on implementing method and application for e-manufacturing systems (in Chinese). Comput Integr Manuf Syst-CIMS, 2003, 9(4): 253–259
Mandroli S S, Shrivastava A K, Ding Y. A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes. IIE Trans, 2006, 38(4): 309–328
Sun H B, Jiang P Y. Template-based manufacturing information tracking method for extended enterprise (in Chinese). J Xi’an Jiaotong Univ, 2006, 40(1): 36–39
Tu X Y, Wang C, Guo Y H. Large Systems Cybernetics (in Chinese). Beijing: Beijing University of Posts and Telecommunications Press, 2005
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National Basic Research Program of China (“973”) (Grant No. 2005CB724106) and the National High-Tech Research and Development Program of China (“863”) (Grant No. 2007AA00Z108)
Rights and permissions
About this article
Cite this article
Liu, D., Jiang, P. & Zhang, Y. An e-quality control model for multistage machining processes of workpieces. Sci. China Ser. E-Technol. Sci. 51, 2178–2194 (2008). https://doi.org/10.1007/s11431-008-0240-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11431-008-0240-4