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Optimizing Process and Products Using Design of Experiments

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Training by Technopoly Inc

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On-Site / Training

PHP 14,560.00

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Do you desire to discover the science behind your product and processes so you could easily improve or optimize them? Design of Experiments (DOE) might just be to the tool you are looking for!

Experimentation is the structured process of varying controllable input variables and observing what impact these might have on a single or several output variable(s) of concern which are usually product quality characteristics or process performance measures. Showing that there is a much better and systematic approach than one-factor-at-a-time, Design of Experiment (DOE) is a body of knowledge that lays down the principles on how this experimentation can be done properly and economically as well as how the experimental results could be analyzed correctly and effectively. It covers issues such as which and how many experimental trials to run to obtain conclusive and reliable results, how should experimental factor levels during experimentation be set, how should experiments be planned and conducted to protect it from biases crippling experimental findings, what graphical and statistical analytical approaches should be used to accurately interpret the results obtained and why such approaches are useful and needed.

Organizations which are able to develop or acquire the capability of using this methodology have been able to achieve significant improvements in their product quality and process performance. They are also able to attain faster speed to market product development and process deployment. Furthermore they can be very flexible and quick in adjusting product and process parameters as customer changes their product specifications and expectations.

This 2-day training program intends to impart and give a fundamental working knowledge of DOE to its target participants. It will be composed of experimental simulations, exercises and discussions where these will serve as a channel for the participants to learn and put into practice the concepts and principles of DOE and also give the participants a view of how the guidelines of DOE could apply and work in real-life settings.

Special Offer: Register and Reserve on or before October 30, 2018 for a fee of Php 12,000 (VAT Inc.)

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

Day 1 AM Session
Introduction to Design of Experiments

Rationale for using DOE
What is DOE?
Applications of DOE Techniques
Workshop on Experimental Design

Systematic Approach to Experimentation

Introduction to Experimentation
Stages and Phases of Experimentation

Day 1 PM Session
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

DAY 2 PM Session

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 Design

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.

Special Offer

Special Offer: Register and Reserve on or before October 30, 2018 for a fee of Php 12,000 (VAT Inc.)

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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.

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