ENBIS-21 Online Conference

Session

Design of Experiment 1

PS22_C2

14 Sept 2021, 10:40

Online

Conveners

Design of Experiment 1

• Chair: John Tyssedal (NTNU)

10. Bayesian I-optimal designs for choice experiments with mixtures

Mario Becerra (KU Leuven)

14/09/2021, 10:40

Design and analysis of experiments

Discrete choice experiments are frequently used to quantify consumer preferences by having respondents choose between different alternatives. Choice experiments involving mixtures of ingredients have been largely overlooked in the literature, even though many products and services can be described as mixtures of ingredients. As a consequence, little research has been done on the optimal design...

14. Influence of process parameters on part dimensional tolerances: An Industrial Case Study

Dr Narendra Akhadkar (Schneider Electric Industries)

14/09/2021, 11:00

Design and analysis of experiments

Injection molded parts are widely used in power system protection products. One of the biggest challenge in an injection molding process is shrinkage and warpage of the molded parts. All these geometrical variations may have an adverse effect on the quality of product, functionality, cost and time-to-market. Our aim is to predict the spread of the functional dimensions and geometrical...

16. The Parameter Diagram as a DoE Planning Tool

Matthew Barsalou

14/09/2021, 11:20

Statisticians are often called upon to work together with Subject Matter Experts (SMEs) to perform Design of Experiments (DoEs). The statistician may have mastered DoE; however, the SME’s input may be critical in determining the correct factors, levels, and response variable of interest. The SME may be an engineer or even the machine operator responsible for the daily activities at the process...

20. A tailored analysis of data from OMARS designs

Mohammed Saif Ismail Hameed (KU Leuven)

14/09/2021, 11:40

Design and analysis of experiments

Experimental data are often highly structured due to the use of experimental designs. This does not only simplify the analysis, but it allows for tailored methods of analysis that extract more information from the data than generic methods. One group of experimental designs that are suitable for such methods are the orthogonal minimally aliased response surface (OMARS) designs (Núñez Ares and...