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.   

 

Optimizing Process and Products

Using Design of Experiments

 

November 28-29, 2018, 8:30 am to 5:00 pm

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. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you.

 

 

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. As such the session will be strictly limited to 15 participants only. This is to ensure a high engagement level and interaction between the Mentors/Facilitators and the participants.

Who Should Attend

Research and Development Leaders, Personnel and Scientists, Product Developers, Product Engineers, Process Developers, Quality Assurance Managers and others who are directly responsible or indirectly accountable for developing and improving their organization’s product formulation 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.  

Learning Session Outline

Optimizing Process v2.JPG

Why Attend

Learn one of the most potent tools to improve and optimize your product or your process.

DOE affords and gives you a fundamental understanding of your product and process. With it, adjusting, tweaking or re-designing your product and process is shifted from gut-feel guesswork to something truly scientific.

 

Complements and gets your Six Sigma initiative going.

Great for those into or planning to get into Six Sigma! DOE is one of the major tools in a Six-Sigma program and this program is exclusively designed to tackle just that. But more than just being a tool, the mindset and philosophical underpinnings required in DOE further aligns your thinking with Six Sigma when it comes to understanding and reducing variability.

 

We’ll make it fun!

“Learn by doing, do by playing!”  The training-workshop program will use activities to facilitate learning and these are designed to be fun and interactive. While we cannot avoid statistics- this will be made very manageable by the software we will use and we will show you how statistics can be useful and practical!

 

Unlock and make the most out of your Statistical Process Control implementation

Does the SPC implementation in your company sometime baffle you? Does it take long to find out and discover the reason behind the out of control signals? Or are you bearing the burden of an incapable process that forces your organization to rely expensive inspection to weed away the out-of-specs just to avoid the external failure quality costs involved? Come and understand how Design of Experiment can address these concerns.

 

Benchmark and gain ideas about your product and process experimental and improvement practices

Network and mingle with participants from other companies and with the mentors and facilitators. Share your process and product issues as long as it is not confidential. You might discover that the nature of your problem is not unique and get a new perspective or direction on how to deal with such issues.

Training Venue

The training site will be at Technopoly Inc’s Training Hub located at 2901 One San Miguel Avenue Building, 1 San Miguel Avenue corner Shaw Blvd, Pasig City. Those coming from faraway places could explore the multiple accommodation options near the training venue such as Red Planet Hotel, Richmond Hotel, Lancaster Hotel, etc.

Learning Session and Fees  and Inclusions

This two-day learning session is worth Php 14,560.00 (VAT included). These includes:

(1) Workbook Materials and Training Manual,

(2) Morning and Afternoon Snacks and Lunch, Unlimited Espresso Coffee/Tea and

(3) Certificate of Completion.

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

Course Related Reservation and Questions

To reserve for this learning session or should you have any questions, please feel free to contact us via email through bryan.gobaco@technopoly.com.ph with your name and contact details.

Facilitators and Mentors

Dennis Beng Hui

 

Dennis has trained and coached various companies on the principles and practice Design of Experiment. These companies are in the field of consumers goods, personal care, medical equipment manufacturing, pharmaceutical and glazed ceramics manufacturing.  He is currently a faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila since 1991. He is also a Master Black Belt holder on Six Sigma incorporating Design of Experiments training in a number of corporate Six Sigma training he has conducted. He has a bachelor in science and masters in science degree in Industrial Engineering. He is currently completing his doctor of philosophy in Industrial Engineering.

 

 

 

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. 

 

 

 

Emil Adrian Fernandez

 

Emil Adrian Fernandez is currently a part-time faculty at the Department of Industrial Engineering at the Gokongwei College of Engineering of De La Salle University Manila and holds a Bachelor and Masters of Science degree in Industrial Engineering from the same university.  He specializes and handles both undergraduate and graduate courses on Basic and Advanced Design of Experiments.