Taguchi Method|Minitab|DOE|Process Parameters Optimization

Taguchi method is a statistical method, sometimes called robust design method, developed by Genichi Taguchi to improve the quality. Taguchi has envisaged a new method of conducting the design of experiments which are based on well-defined guidelines. This method uses a special set of arrays called orthogonal arrays. These standard arrays stipulates the way of conducting the minimal number of experiments which could give the full information of all the factors that affect the performance parameter. The crux of the orthogonal arrays method lies in choosing the level combinations of the input design variables for each experiment.

Taguchi Method optimization is based on 8-steps of planning, conducting and evaluating results of matrix experiments to determine the best levels of control factors.

8-STEPS IN TAGUCHI METHODOLOGY:

Step-1: IDENTIFY THE MAIN FUNCTION, SIDE EFFECTS, AND FAILURE MODE.

Step-2: IDENTIFY THE NOISE FACTORS, TESTING CONDITIONS, AND QUALITY CHARACTERISTICS.

Step-3: IDENTIFY THE OBJECTIVE FUNCTION TO BE OPTIMIZED

Step-4: IDENTIFY THE CONTROL FACTORS AND THEIR LEVELS

Step-5: SELECT THE ORTHOGONAL ARRAY MATRIX EXPERIMENT

Step-6: CONDUCT THE MATRIX EXPERIMENT

Step-7: ANALYZE THE DATA, PREDICT THE OPTIMUM LEVELS AND PERFORMANCE

Step-8: PERFORM THE VERIFICATION EXPERIMENT AND PLAN THE FUTURE ACTION

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[muhammadsaadansari]

Good video. Make some videos related to Artificial Neural Network optimization.

[joca]

This is everything but well explained. Total waste of time.

[shashanknigam]

not good
you first know it yourself then explain it.