Process optimization is a multi-billion dollar industry. There are three traditional process optimization systems/methods currently being used throughout the world: experiential, traditional statistical analysis, and predictive optimization or modelling methods. All of these methods may gain you 1 - 4 % efficiency improvements.
As dynamic process influences change, such as weather, humidity, viscosity, flow rates or other requirements, then your process optimization set points also need to change.
The POSy-System is able to determine the set point changes necessary to accommodate the dynamic changes, thereby providing a fluid
transition between changes while always maintaining optimal production with little to no losses.
The next generation of process optimization, the POSy-SystemTM, takes these issues into account. This is how it works. The POSy-SystemTM was developed to accurately optimize multi-variables for non-linear systems and guarantees improvements in terms of quality and quantity. The POSy-SystemTM is designed to always produce positive results. The system/method has been patented.
All the other systems mentioned above operate from the bottom up, or from the input of machine variables to produce a product or output. If something is wrong with the output, an adjustment is made at the bottom machine variables.
The POSy-SystemTM works from the top down. It calibrates each process variable through the patented system and data to determine the set points necessary to achieve the results that you're looking for. Some have called the system disruptive technology because of how much better it performs compared to other methods. I call it God's formula because it performs that well. The POSy-System utilizes your requirements of the output (quality and/or quantity) to reverse engineer and determine the machine variables necessary to achieve the output required. Results from customers have varied from 12% - 23% efficiency improvements (with an average of 16.5%), while at the same time improving quality, output, and reducing waste product. These improvements are significant.
It has been estimated that the POSy-SystemTM outperforms traditional statistical analysis optimization by at least 10 times; it is not only precise but also accurate with over 95-percent certainty. The analysis finds the center of all the process machine variables’ sweet-spots simultaneously.
The POSy-SystemTM was recently tested in the chemical and petroleum industries through the University of Alberta. One of the tests conducted was simple chemical flow and mixing, where the system performed perfectly. Predictive tests (beyond the scope of the equipment/process) produced excellent results and provided direction for each of the process machine variables for the outside-the-box output but within the limitations of the machines. The POSy-SystemTM may be used in conjunction with modelling software, and/or advanced process control (APC), to create an artificial intellligence to produce significantly greater output and quality than would be generated if individually used. By using this method the system can overcome outside dynamic influences such as temperature, viscosity, humidity variation and other dynamic variability, whereas modelling software and other systems cannot make such a claim.
The POSy-SystemTM is ideal in applications for process in oil and gas, simulators or computer modelling, R&D, chemicals, pharmaceutical applications, manufacturing (injection and blow molding), agriculture or any other process which has multiple variables.
Allow us to show you how much of a positive difference the POSy-System can make to your bottom line and/or research.
I look forward to meeting with you.
Roland Nelson, President and CEO
This PID animated compensation loop examines how PID systems work. However, they quickly fail causing your process to go into disarray when dynamic variables suddenly come into play. Dynamic processes are aspects of the process that typically are NOT part of the set up and may include changes in ambient temperature, humidity, viscosity or density, etc. In a perfect world the PID compensation system would be adequate. Unfortunately, dynamic changes are inevitable. The POSy-System can overcome the dynamic variable issues and move your system toward a system that more closely resembles AI (artificial intelligence).
President and CEO
Roland Nelson is a professional engineer who specialized in process optimization, equipment and project management. He graduated with his Bachelor of Engineering degree (Chemical) at McMaster University in Hamilton, Ontario, and has worked in industry since. In 2010 he started his own company, Paradox Engineering & Technology (PE&T), and
consulted for industry for process optimization, failure analysis and project managment. His years of independent research and testing led to the development of the POSy-System; an optimization system that outperforms everything else on the market today.