The Founding Partners have over 60 years of manufacturing experience combined in the manufacturing and controls disciplines. Working with Operations personnel to develop and improve processes and with IT groups to ensure connectivity and security of the parties involved.

GPOT has vast experience with creation and commissioning of industrial controls systems, PLC software designs, and HMIs for different industries and environments. We are experts in PLC/HMI code development and customization, code installation, debugging on job site, and commissioning of a complete system. We can conduct peripheral device programming, machine PLC programming, coordinate the machine debug, power-up, and validation with the customers build and electrical teams.

We have created and integrated automated systems at companies in many manufacturing sectors (Aerospace, Automotive, Medical, etc.). These systems are constantly monitoring the process and collecting the part’s fabrication data, giving real time feedback to ensure Quality at The Source (QATS). All critical operator functions have been augmented to ensure a fully repeatable, reliable process.

This connected system of automated machines, operators and their data collection logic comprised the Manufacturing Execution System (MES) at the facility to track and document the transformation of raw materials to finished goods. The MES coupled with the Enterprise Resource Planning (ERP) system allowed real time tracking of the parts in the build process.  This allows the parts to be tracked at the “Work in Process” (WIP) level, allocating materials as they are consumed so that replacement materials can be ordered automatically.

The data collection portion of this system provides the Business Intelligence (BI) required to accurately perform analytics and show trends of the process to indicate stability OR if things are moving away from the predefined control limits, potentially indicating that maintenance is needed. This data is then deployed to create a system of predictive maintenance, eliminating costly machine downtime. This data tracking of machine utilization and overall yield is also employed to calculate the Overall Equipment Effectiveness (OEE) as a globally accepted measure of factory performance.