Exceed the limits of MSP
Global Process Control (GPC) is an extension of the MSP (Statistical Process Control) technique. However, its functionalities go far beyond monitoring, since it allows optimization of the operation of processes or equipment.
Many companies use the control charts offered by MSP, but they run into serious difficulties when the number of measured characteristics (variables) per observation becomes too large.
- False alarms are on the increase: we often give up on permanently monitoring all the measurements even though their collection has been costly.
- The relevant information that will lead to the most effective action is very difficult to extract.
GPC concepts
The exclusive approach (patents) of Global Process Control is based on multidimensional statistical models.
Contrary to the monovaried analyzes of the MSP where each parameter is studied individually, the GPC technology is able to take into account all the measured parameters simultaneously.
This powerful approach is perfectly suited to the reality of operating industrial production equipment and other complex equipment or systems.
Afin d’évaluer l’efficacité du GPC, nous vous proposons une première analyse rapide sur vos données : l’Audit GPC Flash.
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Benefits of
GPC technology.
- Reduction of production costs : reduction of scrap, rework, customer returns, production line stoppages, thanks to early detection and identification of disturbances in industrial processes or equipment .
- Improved process robustness by reducing the variability of product and process characteristics during routine operation.
- Optimization of process adjustment on the product characteristics target by multi-parameter action.
- Optimization of process adjustment targeting the product characteristics target but also reducing the consumption of energy, raw materials or the quantity or harmfulness of rejects.
- Reduction of control costs: selection of the most relevant variables to control product quality, replacement of expensive measurements on samples by inexpensive automatic measurements, allowing 100% control.
- In-depth monitoring of a large number of measured characteristics (two to a thousand variables) taking into account their interactions while controlling nuisance alerts.
