A Case Study
[Top] Impact of welding imperfections on car crash resistance Poor product performance may be due to imperfections in production. Performance simulations, though, rarely take account of such imperfections. In the simulation depicted below, stochastic simulation ideas were applied to this issue by randomly removing 5% of the spotwelds in the automobile. In 100 simulation runs, each with a different set of missing welds, 7 outliers appear in the bivariate performance graph. The outiers represent significant loss of performance. The study provided valuable information for assessing which welds were critical and for assessing the lack of robustness to missed welds in the current design.
What can we achieve?
Robust Design Using Computer Experiments - click here to download a paper on the subject by Ron Bates, Ron Kenett, David Steinberg and Henry Wynn. The paper was presented at the 13-th Conference on Mathematics for Industry21-25 June 2004Eindhoven, The Netherlands. For a copy of "Achieving Robust Design from Computer Simulations" (by R. Bates, R. Kenett, D. Steinberg and H. Wynn), Quality Technology and Quantitative Management , Vol. 3, No. 2, pp. 161-177, 2006 click here. For a presentation delivered at the 2006 annual meeting of the American of Chemical Engineers on applications of TITOSIM methodology to scale up processes in chemical plants see ChemAgis scale up case study For a copy of “New Frontiers in Design of Experiments” (by R. Kenett and D. Steinberg), Quality Progress , 61-65, August 2006 click here [Top] [Objectives] [Members] [A Case Study] [Methodical Approach] |