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COURSE OBJECTIVE

The course has been designed to enable all participants leave the training with a set of new knowledge, tools, skills and direct experience of how to implement DOE methodology in a real company setting. Thus, the course has been designed to fulfill the following objectives:

Understand the foundation of DOE methodology.

Interpret and apply basic statistical tools related to DOE.

Plan, implement, analyze fundamental and practical industrial experiment.

COURSE INTRODUCTION

Too many variable process parameters to control? Not sure the causal relationships between input (machine parameter) and output(response or product quality)?Looking for process optimum setting?

Design of Experiment (DOE) is a strategic, enabling methodology to improve process yields and product quality, reduced variability, reduced development time and reduced overall costs by changing one or more process characteristics to test or investigate the effects.

This practical course combines classroom teaching, practical exercises, group discussion and case study in experiment management, quality and performance metrics, and experiment methodology.

COURSE OUTLINE

Chapter 1: Introduction to DOE

• The applications and benefits of DOE
• One factor-at-a-time case study
• Comparison of traditional and model methods of experimentation

Chapter 2: Planning Effective Experiment

• Basic principles and procedure

Chapter 3: Full Factorial Experiment

• Basic concepts and applications of full factorial experiment
• Main Effect and Interaction
• Orthogonality
• Full Factorial experiment case study

Chapter 4: Experimental Analysis

• Graphical analysis and interpretation
• Basic understandings on statistics
• Y=f(x) analysis  

Chapter 5: Fractional Factorial Design (2 levels)

• Basic concepts and application of fractional factorial design
• Confounding patterns and design resolution
• Selection guideline for 2 level fractional factorial design
• Screening DOE case study

Chapter 6: DOE success factors

• Introduction to available software for DOE.
• Factors to be considered when planning, conducting the experiment
• Factors to be considered when analyzing data

This is simple and easy to understand DOE for managers, engineers, or executives involved in product or process development and improvement, QA/ QC, manufacturing and operation.

IN-HOUSE TRAINING THE PACKAGES

• The package offered for maximum 20 (Twenty) participants to ensure the effectiveness of the training.
• 20 (Twenty) sets of training materials & handouts
• Certificate will be issue for each participant that completed the course.

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