POSy-SystemTM is a self-contained Optimization Software Engine and Platform. POSy-SystemTM increases production, quality, and optimizes efficiency, resulting in increased profit margins and lower energy consumption.

The POSy-SystemTM focuses on customer key performance requirements by using our proprietary Optimization System.

  • Significantly Increased
  • Productivity & Efficiency
  • Increase Operating Profit Margins & EBITDA
  • Reduce Manufacturing Costs
  • Improve Product Quality
  • Reduce Waste
  • Reduce Process Variability
  • Reduce Overall Costs

The POSy-SystemTM (Paradox Optimization System) software recommends specific Optimized Processing Set Points to meet your performance requirements even through dynamic variation!

The POSy-SystemTM optimisation methodology is a true multivariable orthogonal resolver whereby it solves for the most optimal of a set of multivariable Set Points, Outputs, System Gain and Nonlinear Relationships or other Disturbance Variables. POSy-SystemTM can be integrated withing existing Distributed Control Systems (DCS’s), Programmable Logic Controllers (PLC’s) and in existing Advance Process Control (APC’s), and works as an APC / Optimisation numerical engine.

The diagram below illustrates 3 Controlled Variable set-point trials, where A, B & C are considered from other influential strategies to determine the desired true Optimized Set Point X. POSy-SystemTM solves for all of the Optimal Set Points simultaneously over the defined operational scenarios.

Testimonial: Major Pharmaceutical Company

“I used your Paradox software engine on a tool that has been in production for over a year. I have had a huge reduction in cycle time by 23%.

“This software is user friendly compared to the software I have used in the past. The results are quick and easy. The QA Department has accepted the changes a lot faster, since there is a full report once trials were completed. It was easier for my management staff to see the results rather than me trying to explain the changes to process. Thanks”