Introduction :
Design of Experiments (DOE) has been one of the most powerful tools to evaluate and quantify contribution of various input factors on output or response. The technique was developed by Ronald Fisher for improving agricultural yield. Conventional experimentation is done with only one factor at a time (OFAT). In Statistically Designed Experiments (SDE), the idea is to minimize cost and efforts of the experimentation but still obtain maximum information about a process.

Who should attend the training?

• The course is most appropriate for engineers and managers responsible for
• Process design and optimization
• Product Design and Development
• Quality Improvement
• Reliability Engineers
• Production Engineers
• Supplier Improvement
• Others responsible for measuring and tracking performance

Agenda for the Training :

• Introduction and expectations of participants
• One Factor at a Time Approach to experimentation and its limitations
• Introduction to Designed Experiments
• 2-Factor 2-Level (22) Experiment and its analysis
• 2k experiments
• Calculation of main effects and interactions
• Plotting Main Effects and Interactions
• Introduction to Analysis of Variance (Anova)
• Calculating Sum of Squares
• Degrees of Freedom
• Performing F Test to evaluate significance
• Examples of 2k Full Factorial Experiments
• Fractional Factorial Experiments
• Resolution of Experiment
• Confounding or Aliasing
• Examples of Fractional Factorial Experiments
• Catapult Exercise for planning and conducting DOE
• Concept of Robust Design
• Taguchi Approach to parameter design
• Classical Approach to parameter design
• Application Example
• Quiz

Contact us :
Institute of Quality and Reliability,
Plot No.39,
Shantiban Cooperative Housing Society,
Near Gandhi Bhavan,
Kothrud,
Pune 411029.

Phone : 91-20-25367952
Email : ioqr@world-class-quality.com
Web site : www.world-class-quality.com