Course Name : Design of Experiments ( DOE ) - Taguchi Method
Duration:	4 days
Audience:	All Engineers (TSG, Process, Product, Quality), Quality Managers.
Media:	Classroom & Workshop
Prerequisite:	None
Objective:	Understand & apply Two-level Factor DOEs for optimizing designs and production processes in a timely and efficient manner
Description:	The Taguchi method of DOE employs a matrix approach to efficiently design low-cost, highly reliable products and processes. Since many factors can be addressed simultaneously, this method reduces the total development time significantly. This method can be used to optimize an existing product / process. The class is designed to deal with simple as well more difficult and complex experiments.
Contents:
	•  Introduction to DOE •  Fractional Factorials •  Orthogonal Arrays & linear graphs •  Analysis of Variance (ANOVA) •  Interaction of Two-level factors •  Three level and higher factors •  Signal to Noise Ratio (S/N) •  Inner & Outer Arrays (Noise) •  Using S/N and sensitivity to optimize Nominal is Best condition •  Use of Minitab software to solve the problems
Linkage to ANAND Performance flywheel:
	ABLP Criteria 6.0 Process Management
Remarks:	Powerful tool for solving complex problems in an off-line mode . This is a part of Black Belt training.