INTRODUCTION

Design of Experiments (DOE) is a systematic experimentation method. It is more efficient that the traditional experimentation methods such as the One-Factor-At-A-Time (OFAT) and Best Educated Guess. DOE employs statistic to model and optimize a process. It is widely used in process validation, parameter settings and developing a robust process

COURSE OBJECTIVES

This course is designed for participants to:

• Identify the application opportunity for DOE.
• Develop a plan for DOE.
• Correctly employ fractional factorial and full factorial.
• Understand the important DOE concepts and terminologies.
• Design, conduct and analyze DOE.

COURSE OUTLINE

• Introduction to Design of Experiments
• Planning for Experiment
• Designing Full Factorial Experiments
• Fundamental Concepts of DOE
  1. Balanced Design
  2. Factor Types

• Experimental Range

1. Orthogonal Coding
2. Center Points
3. Randomization, blocking, and replication

• Experimental Errors and Units.

• Creating a Full Factorial Design
• Introduction to Screening Designs & Fractional Factorial Experiments
• Creating a Fractional Factorial Design
• Analyzing Fractional Factorial Designs
• Consider for Optimization

DURATION

2 Full Days (8 hours/ day)

MODE OF TRAINING

Remote Online Training

TARGET AUDIENCE

This programme is designed for process and product engineers in process validation and improvement.