An intelligent approach to robust multi-response process design

References

• Antony , J . 2000 . Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis . Quality and Reliability Engineering International , 16 ( 1 ) : 3 – 8 .
   Web of Science ®Google Scholar
• Cook , DF and Shannon , RE . 1992 . A predictive neural network modelling system for manufacturing process parameters . International Journal of Production Research , 30 ( 7 ) : 1537 – 1550 .
   Web of Science ®Google Scholar
• Drain , D . 2004 . A genetic algorithm hybrid for constructing optimal response surface designs . Quality and Reliability Engineering International , 20 ( 7 ) : 637 – 650 .
   Web of Science ®Google Scholar
• Hou , TH . 2006 . An integrated system for setting the optimal parameters in IC chip-package wire bonding processes . International Journal of Advanced Manufacturing Technology , 30 ( 3–4 ) : 247 – 253 .
   Google Scholar
• Hsieh , KL and Tong , LI . 2001 . Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks . Computers in Industry , 46 ( 1 ) : 1 – 12 .
   Web of Science ®Google Scholar
• Hsu , CM . 2001 . Solving multi-response problems through neural networks and principal component analysis . Journal of the Chinese Institute of Industrial Engineers , 18 ( 5 ) : 47 – 54 .
   Google Scholar
• Jeong , B , Lee , J and Cho , H . 2005 . Efficient optimization of process parameters in shadow mask manufacturing using NNPLS and genetic algorithm . International Journal of Production Research , 43 ( 15 ) : 3209 – 3230 .
   Web of Science ®Google Scholar
• Lau , HCW . 2005 . Design and implementation of a process optimizer: a case study on monitoring molding operations . Expert Systems , 22 ( 1 ) : 12 – 21 .
   Google Scholar
• Mok , CL , Kwong , CK and Lau , WS . 2000 . An intelligent hybrid system for initial process parameter setting of injection moulding . International Journal of Production Research , 38 ( 17 ) : 4565 – 4576 .
   Web of Science ®Google Scholar
• Morrison, R.W., 2003. Performance measurement in dynamic environments. In: Proceedings of GECCO 2003: workshops, genetic and evolutionary computation conference, 12–16 July, Chicago, Illinois, 99–102.
   Google Scholar
• Ortiz , F . 2004 . A genetic algorithm approach to multiple-response optimization . Journal of Quality Technology , 36 ( 4 ) : 432 – 450 .
   Web of Science ®Google Scholar
• Peace , SG . 1993 . Taguchi methods: a hands-on approach , Reading, MA : Adison-Wesley .
   Google Scholar
• Pignatiello , JJ . 1993 . Strategies for robust multiresponse quality engineering . IEE Transactions , 25 : 5 – 15 .
   Web of Science ®Google Scholar
• Roy , R and Mehnen , J . 2008 . Dynamic multi-objective optimisation for machining gradient materials . CIRP Annals - Manufacturing Technology , 57 ( 1 ) : 429 – 432 .
   Google Scholar
• Sibalija , T . 2004 . Attaining process robustness through design of experiment and statistical process control . In: Proceedings of 11th CIRP international conference on life cycle engineering . 20–22 June 2004 , Belgrade, Serbia. pp. 161 – 168 .
   Google Scholar
• Sibalija, T., 2009. Development of intelligent designer of experiment model for application of Taguchi method. Thesis (PhD). Faculty of Mechanical Engineering, University of Belgrade.
   Google Scholar
• Sibalija , T and Majstorovic , V . 2009 . Multi-response optimisation of thermosonic copper wire-bonding process with correlated responses . International Journal of Advanced Manufacturing Technology , 42 ( 3–4 ) : 363 – 371 .
   Google Scholar
• Su , CT and Tong , LI . 1997 . Multi-response robust design by principal component analysis . Total Quality Management , 8 ( 6 ) : 409 – 416 .
   Web of Science ®Google Scholar
• Taguchi , G . 1986 . Introduction to quality engineering: designing quality into products and processes , Tokyo : Asian Productivity Organization .
   Google Scholar
• Tong , KW , Kwong , CK and Yu , KM . 2004 . Intelligent process design system for the transfer moulding of electronic packages . International Journal of Production Research , 42 ( 10 ) : 1911 – 1931 .
   Web of Science ®Google Scholar
• Tsui , KL . 1999 . Robust design optimization for multiple characteristic problems . International Journal of Production Research , 37 ( 2 ) : 433 – 445 .
   Web of Science ®Google Scholar
• Wang , CH and Tong , LI . 2005 . Optimization of dynamic multi-response problems using grey multiple attribute decision making . Quality Engineering , 17 ( 1 ) : 1 – 9 .
   Google Scholar
• Wu , FC . 2004 . Optimising robust design for correlated quality characteristics . International Journal of Advanced Manufacturing Technology , 24 ( 1–2 ) : 1 – 8 .
   Google Scholar