International Journal of Quality Innovation

Korean Society for Quality Management (한국품질경영학회)
권호 표지

QFD as a Tool to Improve Quality Control in a Complex Manufacturing Environment

  • Backstrom, Mikael (Division of Production Engineering, Lulea University of Technology, Sweden and Department of Engineering, Mathematics and Physics, Mid Sweden University) ;
  • Wiklund, Hakan (Division of Quality Technology and Statistics, Lulea University of Technology, Sweden and Department of Engineering, Mathematics and Physics, Mid Sweden University)
  • Published : 2004.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

The paper outlines a comprehensive three-step approach to the development of advanced strategies for quality control of a complex machining process. The research framework is a developed concept for Integrated Supervisory Process Control. The promising results obtained demonstrate a non-traditional approach to the deployment of quality and productivity requirements set by the system users, whereby the efficiency and systematization of the development of quality control strategies can be significantly improved.

Keywords

References

  1. Akao, Y. (1990) History of Quality Function Deployment in Japan, The Best on Quality, pp.183-196. International Academy for Book Series, Vol.3, Hanser Publisher
  2. Barschdorff, D., Monostori, L. (1991) Neural Networks-Their Applications and Perspectives in Intelligent Machining, Computer in Industry (No. 17), pp.101-119
  3. B$\ddot{a}$ckstr$\ddot{o}$m, M. (1996) Technologically Integrated Machining, Proceedings of the National Conference on Technologically Integrated Manufacturing Engineering (TIME), pp.25-31, Link$\ddot{o}$ping May 29
  4. Backstrom, M., Wiklund, H. (1998a) A Step towards Integrated Supervisory Control of Complex Machining Processes, Changing the Ways We Work, N. Martensson et.al. (Eds.), pp.769-778, lOS Press
  5. Backstrom, M., Wiklund, H. (1998b) Development of a Multi-Tooth Approach to Tool Condition Monitoring in Milling, Insight, Vol.40, No.8, pp.548-552
  6. Backstrom, M., Wiklund, H. (1999) An Approach to Integrated Process Monitoring and Quality Control of Advanced Machining, Proceedings of the Advanced Summer Institute, ASI'99 September 22-24, Leuven, Belgium
  7. Backstrom, M., Wiklund, H. (2000) Integration of Real-time Quality Control and Process Monitoring, Proceedings of the 33$^{rd}$ International CIRP Seminar on Manufacturing Systems pp. 414-419
  8. Cai, D.Q., Xie, M, Goh, T.N., Wiklund, H., Biickstrom, M. (1999) A Study of Control Chart for Adjusted Processes, Proceedings of the 26th International Conference on Computers and Industrial Engineering Vol. 1, pp.443-447, Melbourne, Australia
  9. Dornfeld, D.A., DeVries, M.F. (1990) Neural Network Sensor Fusion for Tool Condition Monitoring. Annals of the CIRP, Vol. 39/1
  10. Jantunen, E. (2002) A summary of methods applied to tool condition monitoring in drilling. International Journal of Machine Tools and Manufacture. Vol. 42, No 9, pp. 997-1010 https://doi.org/10.1016/S0890-6955(02)00040-8
  11. Malakooti, B., Zhou, Y. (1992) Applications of Adaptive Neural Networks for An In-Process Monitoring and Supervising System, International Joint Conference on Neural Networks, Vol.2 . IEEE, New York
  12. Mazur, G.H. (1994) QFD Outside North America - Current Practice in Europe, The Pacific Rim, South Africa and Points Beyond, Proceedings of the 6$^{th}$ Symposium on Quality Function Deployment, Novi, Michigan
  13. Monostori. L., Nacsa, J. (1991) On the Application of Neural Nets in Real-Time Monitoring of Machining Processes. Manufacturing Systems, Vol.20 (No.3), pp.223-230
  14. Monostori. L. (1993) A Step Towards Intelligent Manufacturing: Modelling and Monitoring of Manufacturing Processes through Artificial Neural Networks. Annals of the CIRP, Vo.42/1 (pp.485-488) https://doi.org/10.1016/S0007-8506(07)62491-3
  15. Tang, X.Y., Xie, M., Goh, T.N., Wiklund, H. (2000) Statistical Monitoring and DecisionMaking of Tool Wear Processes, International Journal (if Reliability, Quality and SafelY Engineering, Vol.7, No.4, pp.331-340 https://doi.org/10.1142/S0218539300000286
  16. Wiklund. H. (1999) A Statistical Approach to Real-Time Quality Control, International Journal of Production Research, Vol.37, No.18, pp4141-4156 https://doi.org/10.1080/002075499189709