January 14, 2008

13h00 Welcome and registration

13h30 Conference opening

13h35 The history of the design of industrial experiments
Stuart Hunter (Princeton University)

14h20 Supersaturated designs: a review and some research potentials
Dennis Lin (Penn State University)

15h05 Coffee break

15h30 The roles of optimal and classical designs for quality improvement
Chris Nachtsheim (University of Minnesota)

16h15 Model-robust and discriminating designs
William Li (University of Minnesota)

17h00 Poster walk and coffee break
Discussant poster walk: Steven Gilmour (Queen Mary University of London)
THEME: Teaching DOE, consulting and marketing experiments

1. Models and optimal designs for conjoint choice experiments including a no-choice option (Bart Vermeulen, Katholieke Universiteit Leuven) 
2. StatLab: DOE by doing ! (J.J.M. Rijpkema, Technische Universiteit Eindhoven)
3. When should we use DOE’s to solve industrial problems? (Jay Warner, Warner Consulting) 
4. Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity (Jie Yu, Katholieke Universiteit Leuven) 
5. Robustness of Subset Response Surface Designs (Tanvir Ahmad, Queen Mary University of London)

18h00 Computer-aided designs for practical experimentation
Public defence by Bradley Jones

19h45 Reception

21h00 Conference dinner sponsored by SAS
After dinner talk by John Sall (SAS/JMP): Integrating design and analysis of experiments in generic data analysis software

January 15, 2008

09h00 Six Sigma and design of experiments
Blanton Godfrey (North Carolina State University)

09h45 Design of experiments for robust product design
Douglas Montgomery (Arizona State University)

10h30 Poster walks* and coffee break

Discussant poster walk 1: Jack P. C. Kleijnen (Universiteit van Tilburg)
THEME: Design and analysis for computer experiments  

1. Grid-Enabled Adaptive Surrogate Modeling for Computer Based Design (Dirk Gorissen, Universiteit Gent)
2. Simplex based space filling designs (Thomas Muehlenstaedt, Technische Universität Dortmund)
3. Robust Optimization in Simulation: Taguchi and Krige Combined (Gabriella Dellino, Università di Bari)
4. An anticipatory approach to optimal experimental design for model discrimination (Brecht Donckels, Universiteit Gent)
5. Constrained optimization in simulation: a novel approach (Jack P.C. Kleijnen, Universiteit van Tilburg) 
6. The Cycle Time - Throughput Curve: Metamodeling and the Design of Experiments (Rachel Johnson, ArizonaStateUniversity) 
7. A gradient-based approach to sequential design (Karel Crombecq, Universiteit Antwerpen) 

Discussant poster walk 2: Bernadette Govaerts (Université Catholique de Louvain)
THEME: Design and analysis of physical experiments  

1. Efficient discovery and optimization using high-throughput experimentation and Predictive Design Technology (James M. Cawse, ProtoLife Srl) 
2. The optimal design of rating-based conjoint experiments in the presence of interactions and continuous attributes (Roselinde Kessels, North Carolina State University) 
3. FEAR method to estimate factor effects in supersaturated designs constructed from Plackett-Burman designs (Bieke Dejaegher, Vrije Universiteit Brussel) 
4. Finding a Robust Analysis for Fractional Factorial Experiments (Deepa Kapoor, Queen Mary University of London)
5. A variable neighbourhood search algorithm for finding optimal run orders in the presence of a time trend (Jean-Jacques Garroi, Universiteit Antwerpen)
6. Comparing the Vulnerability and Optimality of Incomplete Block Designs (Helen Thornewell, University of Surrey)

11h20 The design of experiments for nonlinear models
David Steinberg (Tel Aviv University)

12h05 How to deal with practical constraints in designing and analyzing experiments?
Peter Goos (Universiteit Antwerpen)

12h50 Lunch

14h30 Design and analysis of computer experiments
Bradley Jones (SAS/JMP)

15h15 Conference adjourn

* A list of all submitted poster can be found by clicking on "Abstracts posters" at the upper left of the screen.