370 likes | 580 Views
Combining Taguchi Methodology. with. to. Evolutionary Operation. Improve Optimal Design Settings. Competitiveness in Industry the use of DOE Taguchi Methodolgy EVOP. Introduction. 1985 Hunter : Discuss Taguchi Philosophy
E N D
Combining Taguchi Methodology with to Evolutionary Operation Improve Optimal Design Settings
Competitiveness in Industry the use of DOE Taguchi Methodolgy EVOP Introduction
1985 Hunter : Discuss Taguchi Philosophy 1985Kackar: Tile Industryadding lime 1% to 5% help significantly improve the variation in size of tile. 2000 Taguchi: Robust Engineering application at Ford, Nissan, NASA, etc. Literature Review
Easy to Implement Do not need much of Statistics Backgroud Small no. of Experimental Runs Benefits of TAG
Drawbacks of TAG • Good Settings when the design points consist of Optimal values • Inappropriate starting range may mislead the solution.
Evolutionary Operation Box & Draper (1969) x2 (2) (4) (0) (1) (3) x1
Benefits of EVOP • Easy to Implement • Can be performed On-Line (Plant Scale) • Small no. of Experimental Runs
Drawbacks of EVOP • May not improve easily if the variation is too small • Inappropriate starting range may result in high numbers of cycle.
Research Methodolgy Start Select Models Find Optimal values via WinQSB
Find Optimal values via Taguchi Method Calculate DTAG = | Y TAG - Y opt | Improve Optimal values via EVOP
Calculate DEVOP = | Y EVOP - Y opt | DEVOPvsDTAG Draw Conclusion
Surface Finish (Prob. 5-2 p.211) Copper (Prob. 5-5 p.212) 32 Chemical Process (Prob. 9-6 p.388) Industrial Applications(DOE, Montgomery 5th edition,1999)
Summary • EVOP has improved the solution for the total of 9 models and all case studies. • Model with Polynomial Degree 6th cannot be improved by EVOP
EVOP is bettter for Polynomial degree 2nd - 4th than Polynomial degree 5th or 6th.
Further Study • Limitation of EVOP: concern 2-3 variables • Model with more than 3 variables