Optimizing Process and Products Using Design of Experiments
Details
HOW TO RESERVE A SLOT OR FOR FURTHTER QUESTIONS
Due to the limited slots and for better preparation and planning, reserving a seat for the training and learning session will be required. You can email [email protected] should you want to reserve a slot. Simlarly you can email to the same address should you have other questions and clarifications about the training.
Outline
Introduction to Design of Experiments
- Rationale for using DOE
- What is DOE?
- Applications of DOE Techniques
- Workshop on Experimental Design
- Introduction to Experimentation
- Stages and Phases of Experimentation
Better than One-Factor-at-a-Time: Factorial Designs
- Classical Experimental Practices
- Introduction to Factorial Designs
- 2 Level Factorial Designs
- Factorial Experiments
- Introduction to Factorial Analysis
- Workshop on Factorial Experiment
DAY 2 AM Session
Dealing with Many Factors: Fractional Factorial and Screening Designs
- Rationale for Fractional Factorial and Screening Designs
- Fractional Factorial Designs
- Design Resolutions
- Min Run-Res Design
Fractional Factorial and Screening Designs (Cont'd)
- Plackett-Burman Designs
- Analysis of Experimental Results
- Workshop on Fractional Design
Setting Product and Process Parameters to Hit Target Performance: Response Surface Techniques
- Steepest Ascent/Descent Method
- Central Composite Designs
- Face Centered Cube Design
- Box- Behnken Designs
DAY 3 PM Session
Response Surface Methodology (Cont'd)
- Analyzing RSM Experiments
- Graphical and Numerical Optimization
- Response Prediction
- Workshop on Response Surface Design
WHO SHOULD ATTEND
Process and Product Developers, Research and Development Leaders, Process and Quality Engineers, Product and Quality Assurance Managers, Quality Analyst and Assurance Personnel and others who are directly responsible or indirectly accountable for developing and improving their organization’s products and processes. Participants will have to bring their own laptops for the DOE software. Installation instructions for the trial version of the software will be provided as this will be used throughout the learning session duration.
Speaker/s
Bryan Gobaco
Bryan has trained various companies on Design of Experiments. These companies are in the field of consumer goods and personal care, quick service restaurant business, specialty chemicals and food ingredients. He is also the resident trainer of the Philippine Trade Training Center on the use of Design of Experiments for Process Optimization for the last 10 years. He is currently a faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila where he also earned his bachelor in science and masters in science degree in Industrial Engineering.
We are a management advisory and consulting group focused on process and product development and improvement methodology, business analytics and decision support modeling services.
We believe in supporting process excellence initiatives of our client-partners through the creation of a clear strategic and operational mindset that emphasizes on customer and business value.