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Design of Experiments
Design of Experiments
The Design of Experiments is particularly useful for those involved in controlling process or product parameters. DOE offers rapid improvements in quality and reliability. It will be most appropriate for those involved in Design, Quality, R&D, Reliability, Maintenance, Engineering, Manufacturing, and Production. Teams are encouraged to attend for maximum benefit. Please enquire for details of training.
Design of Experiments (Basic)
Design of Experiments (Practitioner)
Design of Experiments (Classical)
Design of Experiments (Intermediate)
Design of Experiments (Advance)
Design of Experiments (Dynamic)
DESIGN OF EXPERIMENTS (BASIC)
DESIGN OF EXPERIMENTS (BASIC)
DOE (Basic) emphasises the 2-Step Optimisation of first reducing variation, and then, adjusting to target performance in processes and products. This course is designed on a take-back-and-do approach. The course keeps statistics to the minimum and practical aspects to the maximum so that even engineers with little mathematics can understand. Delegates should see immediate applications to improve quality and reduce loss.
DESIGN OF EXPERIMENTS (PRACTITIONER)
DESIGN OF EXPERIMENTS (PRACTITIONER)
DOE (Practitioner) is an extension of DOE (Basic). This take-back-and-do course is designed to allow delegates more flexibility in experimentation. Delegates will learn to accommodate 2-level and 3-level factors in a variety of practical situations. Delegates will also investigate their experiments through analysis of variance (ANOVA). Delegates will be able to use ANOVA to make objective decisions on factor contributions and experimental error.
DESIGN OF EXPERIMENTS (CLASSICAL)
DESIGN OF EXPERIMENTS (CLASSICAL)
DOE (Classical) presents a variety of methods related to matrix designs and factorial designs of experimentation. Regression and correlation analyses can be used to study several aspects of response interrelations. Orthogonal polynomials can be used to fit complex functions and responses. Delegates can apply these method in a variety of optimisations particularly those related to intrinsic functions.
DESIGN OF EXPERIMENTS (INTERMEDIATE)
DESIGN OF EXPERIMENTS (INTERMEDIATE)
DOE (Intermediate) is a method of process optimisation using the technique of steepest assent. When a region of near-optimum is reached, a contour map of the response surface is studied to find the minimum, maximum or saddle point. Delegates can apply this method in a variety of optimisations particularly those related to yield or defectives.
DESIGN OF EXPERIMENTS (ADVANCED)
DESIGN OF EXPERIMENTS (ADVANCED)
DOE (Advance) employs computer simulation and data analysis. A process or product with a known functional characteristic can be optimised purely by computer simulation. Advanced methods of data transformation are used based on the lambda and beta techniques. Tolerancing of process and product parameters can also be performed through this method. On completion, delegates will have a highly sophisticated method of computer aided parameter and tolerance designs.
DESIGN OF EXPERIMENTS (DYNAMIC)
DESIGN OF EXPERIMENTS (DYNAMIC)
DOE (Dynamic) is a very advanced method for studying quality characteristics where the characteristic can be controlled by the operator. There are several methods that can be used for continuous-continuous, continuous-digital, digital-continuous and digital-digital systems. Delegates will be able to design and develop original processes and products in the most systematic and efficient way.
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