Developing and Optimizing Formulations: Design of Experiments for Formulators
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Training by
Technopoly Inc
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On-Site
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PHP 21,840.00
Details
Food and drinks, pharmaceuticals, cosmetics, paints, coatings, personal care and hygiene and the likes- these are all samples of product formulations. People who are into the field of formulation research and development knows
the enormous challenges that come with this type of work. But there is a tool available that can significantly help manage these challenges and allow the formulators to navigate through the complex pathway facing them. This tool is called Design of Experiments.
Design of Experiment (DOE) is a body of knowledge that lays down the principles on how experimentation can be done properly and economically as well as how the experimental results could be analyzed correctly and effectively.
The main benefit of using DOE to develop formulations is that it allows all potential inputs (also called components or factors) to be evaluated simultaneously, systematically, and quickly against the conventional approach of dealing with such inputs
one-at-a-time. With DOE, one can evaluate the effect of each formulation input (and the synergistic or antagonistic effects between these inputs) on each formulation characteristic or output of concern and identify the critical factors. Identified critical
inputs and factors then paves the way for proper improvement and optimization of formulation for which DOE also gives a corresponding methodology. The manufacturing process for the formulation also can be developed and optimized in the same manner. This systematic
approach using DOE also enables the business organization to do efficient scale-up and process validation because of the robustness of both the formulation and manufacturing process. Overall, the application of DOE to the formulation development and optimization
process has enabled a lot of organizations to save on development cost and time while taking a faster route to improving their product formulation performance and achieving the formulation’s targeted capabilities.
The session will be conducted by a mix of actual experimentation activities, team-based learning workshops and discussions. The ‘learning-by-doing philosophy’ is embodied in the design of this course. As such the session will
be strictly limited to 12 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, 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.
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.
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
Day 1 PM Session
- Introduction to DOE
- Systematic Approaches to Experimentation
- Experimental Design Workshop
- Better than One Factor-at-a-Time: Introduction to Factorial Design
Day 1 PM Session
- Analyzing and Interpreting Factorial Experiment Results
- Factorial Design Experiment Workshop
- Dealing with Many Factors: Introduction to Fractional Factorial
- Design Resolution and Aliasing
- Playing with Component Amounts: Introduction to Mixture Experiments
- The Simplex Lattice and Centroid Designs
- Scheffe’s Polynomial Models
- Evaluating and Analyzing Mixture Experiments
- Optimizing Mixture Formulations
- Simplex Mixture Experiment Design and Optimization Workshop
- Restrictions in Component Amounts: Constrained Mixture Designs
- Component Coding
- Constrained Mixture Experiment Workshop
- When There are Many Components: Screening Designs for Mixture Experiment
- Simplex vs Non-Simplex Screening
- Management of Learning
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.
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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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