EMPIRICAL MODELING AND OPTIMIZATION
Our comprehensive approach to empirical modeling emphasizes solutions that lead towards better decisions. Our belief is models and analytics don’t make money, better decisions make money.
“What different decision will you make as a result of getting this data or building this model?”
With that in mind our approach is to emphasize the end result and to achieve that result in the most efficient manner possible while balancing against uncertainty, cost and development time.
We utilize a flexible seven step approach to improving and maintaining performance of products, processes and packaging. Each step can be modified to the particular problem thereby allowing creative and innovative freedom while still following a structured approach.
Capability & Stability
DOE – Design of Experiments
Modeling, Discovery and Optimization
Our approach is to define a quantitative scorecard based on the decision maker’s criteria of success. Scorecards combined with the product and process models from our experiments enable us to define an optimal Pareto frontier.
Most businesses spend unnecessary time wandering in the sub-optimal feasible region due to haphazard approaches in the experimental program or from a lack of a defined optimum.
In this approach, innovation and optimization are not in competition but rather the optimal frontier defines innovation breakthrough from sub-optimal performance. When done correctly less time is spent on creating an optimal product or process and more time is spent on breaking through the optimal barrier.
TESTIMONIALS FROM P&G STATISTICIANS, SCIENTISTS AND ENGINEERS
"The time arrived for a myth and a legend like you to leave P&G… what a shame, that’s a memorable date for the calendar… the era when Cy was at P&G, and the era after he left! You have been a great example and an inspirational colleague to me and many others in P&G!"
– P&G ELISA BONVINI PHD MATHEMATICS, SENIOR STATISTICIAN
"An era is ending. You are one of the very few people within P&G that I call an expert according to my standards. Attending your trainings and working with you (asking questions and actually getting answers) has really made a difference for me in this company. Thanks a lot for that."
– BEA BLUM MATHEMATICS, STATISTICIAN / MODELING & SIMULATION P&G
"I had the pleasure to interact with you a few times during my carrier in P&G and I have been impressed by your mastery in statistics and touched by your availability, modesty and kindness. I believe that few senior technologists had a similar impact on the organization, as you had. Since I joined P&G in 1996, you have been the man behind statistical methods deployment in P&G. Without your commitment and passion, P&G would not be so proficient in DoX (Design of Experiments) and other methods."