Design of Experiments Workshop

Design of Experiments Workshop

The program is offered in both Classroom and Self-paced Digital Learning formats.

For details of Self-paced Digital Learning, click here.

Workshop Overview

Structured Experimentation or Design of Experiments (DOE) helps Product Engineers to develop and refine designs. It is simply not possible to develop optimal designs that deliver right product performance without understanding the relationship between dependent and independent factors (& within independent factors). Unstructured experimentation consumes indefinite resources and time that no organizations have.

This is true for both Engineering Product Managers and Service Product Managers.

Similarly, both Engineering and Service Process Managers cannot optimize process parameters without conducting structured experiments.

Quality Managers have to constantly improve the quality of product, its reliability and that cannot happen without improvising design in a structured manner.

Learning Objectives

This Design of Experiments (DOE) workshop will help Product and Process Engineering Managers from both Service & Engineering Sectors to learn DOE from scratch and apply structured experimentation methods.

Learning Outcomes:

At the end of the workshop, participants will be able to:

• Develop an understanding about the concepts of structured experimentation 
• Learn how to conduct a 2K design of experiments from scratch

Target Audience:

Mid to Senior Management Professionals who are required to develop and optimize new products and processes:

• Product Managers
• Process Managers
• Quality Managers
• Six Sigma Black Belts

Duration:

2 Days

Broad Curriculum:

Broad scope is include here:

• Introduction and Purpose of Experimentation
  • One Factor At a Time (OFAT) Experiments – Pros and Cons
  • Solving problems in experiments – different types & purpose
  • Multi-vary charts
• Analysis of Variance (ANOVA) method – Within/Between variance
  • Construction of ANOVA Table in Excel & Minitab
• Multi Factor Design of Experiments
  • DOE 2K Factorial Design – Creating Orthogonal Arrays in Excel and Minitab
  • Terms – Factors, Levels, Runs, Trials, Fixed Factor, Random Factor, Block, Replication, Repeats, Center
  • Main Effects and Interaction Effects
  • Effect, Estimate, and Sum of Square Calculation for 2K
• Advanced DOE
  • Fractional Factorial Experiments – Resolution and Confounding factors
  • Taguchii DOE – Why, When, How – S/N Ratio, Inner/Outer Arrays
  • RSM – Response Surface Methodology
• Addressing practical experiment nuances
• Performing Design of Experiments Using MS Excel & Minitab
• DOE Simulation game

Pedagogy

All the methods to be covered in the training will be Application, Analysis or Synthesis as per Bloom’s taxonomy.

In this workshop, learning will be through interactive group activities.

To conduct Design of Experiments (DOE) Workshop training in Chennai, Bangalore, Mumbai, Delhi and across India and also to know more about the curriculum, structure & customization to your need, contact us.