Design of Experiments

Experimental Designs are used to identify or screen important factors affecting a process, and to develop empirical models of processes. Design of Experiment techniques enable teams to learn about process behavior by running a series of experiments. Tradeoffs as to amount of information gained for number of runs, are known before running the experiments.

Design of Experiments Workshop is an intensive workshop, which may be offered in one or two days, depending on your desired level of customization. It is geared to individuals who want to examine and/or optimize a process by running economic and effective experiments. Participants learn principles of designing experiments, work with real case studies, and practice hands-on designing, analysing and interpreting results of experiments, using calculators, spreadsheets, and software for designing and analysing experiments (using Design-Expert, and/or Excel spreadsheets).

$BHH, page 410 - select 2-level fractional factorial designs$
Fractional Factorial Design Selection Page

Overlay Plot showing Simultaneous Optimization, from Design Expert Learn

what Design of Experiments is,
what to do after a designed experiment,
what Taguchi DOE is, the difference between Classical and Taguchi DOE. and why learn classical DOE?.
and...
Learn how to plan, design, run and analyze full and factorial designs, analyze 8 real case studies involving actual experiments, and learn about response surface, mixture and Taguchi designs, and Evolutionary Operation (EVOP) - running designed experiments on real production processes, one run at a time.

Suggested participants:

individuals who need to run experiments to learn about process behaviour for control and/or optimization;
management team members who need to allocate resources to learn about process improvement.

Requirements for workshop:

familiarity with a process / product with several factors which may be varied;
calculator;
knowledge or familiarity with a spreadsheet package (useful but not required).

Topics include:

when an experimental design is or is not appropriate to use;
design of experiments to screen factors affecting one or more responses; clear analysis of results;
classical full and fractional factorial and Taguchi designs;
how to choose an appropriate experimental design, based on costs and benefits of various designs;
Simultaneous optimization of several response variables
development and assessment of various multiple regression models;
design and analysis of mixture experiments;
use of computer software to plan, design, anlayse, interpret and visualize results from designed experiments.
Real examples of designed experiments done in industry; discussion of practical issues encountered in running plant experiments.

Design of Experiments with Design Expert - click for contents (10p pdf)

Each participant receives the Design of Experiments Workbook with examples, an Excel workbook for design and analysis of factorial and fractional factorial experiments, and 2 Recertification Units for completion of this workshop.

See comments from previous participants in C.F. Kavanaugh's workshops!