ENBIS-24 Conference

Session

DoE for Industry I

16 Sept 2024, 14:35

Leuven, Belgium

Conveners

DoE for Industry I

• Eric Schoen (KU Leuven, Belgium)

14. Optimal Experimental Designs for Process Robustness Studies

Ying Chen (KU Leuven)

16/09/2024, 14:35

DoE

In process robustness studies, experimenters are interested in comparing the responses at different locations within the normal operating ranges of the process parameters to the response at the target operating condition. Small differences in the responses imply that the manufacturing process is not affected by the expected fluctuations in the process parameters, indicating its robustness. In...

27. A Class of Saturated Mixed Level Designs for Even Numbers of Runs

Bradley Jones (EFFEX)

16/09/2024, 14:55

DoE

Screening experiments often require both continuous and categorical factors. In this talk I will introduce a new class of saturated main effects designs containing m three-level continuous factors and m − 1 two-level discrete or continuous factors in n = 2m runs, where m ≥ 4. A key advantage is that these designs are available for any even n ≥ 8. With effect sparsity a few quadratic effects...

53. The Connection between Mixed-Level OMARS Designs and Orthogonal Mixed-Level Designs

Peter Goos (KU Leuven)

16/09/2024, 15:15

DoE

Orthogonal minimally aliased response surface or OMARS designs are an extensive family of experimental designs, bridging the gap between definitive screening designs and traditional response surface designs. Their technical properties render OMARS designs suitable to combine a screening experiment and a response surface experiment in one. The original OMARS designs are intended for...