GPC Methodology

PRINCIPLES OF GPC

The GPC tools take advantage of:

  • The interdependance between the different variables. This interdependance is changed by a disruption of the system or an adjustment to the process.
  • The multivariable impact of any disruption of the system and any setting modification.
  • The separation between different types of variability: decentering, instability, short-term variability, exceptional disturbances.

In order to detect and identify disruptions, GPC is able to substitute “cheap” measures, available  in real-time, to specific measures, which are normally expensive and not available in real-time. For example:

  • Chemical or biological measures substituted for infrared spectrographic measures
  • Impossible dimensional measures substituted for sound or vibration of spectrum measures
  • Mechanical measures substituted for pressure or temperature curves during a manufacturing step

Attention has been paid to the usability of software that hide the complexity of calculations.

Our software provides graphs and tables easily understandable by a system expert (operator, supervisor of the production lines, head of maintenance…) which enable them to make appropriate decisions to fix or improve the system.

BENEFITS OF GPC

  • Reduction in production costs with rejects, fewer reworks, fewer customer returns and fewer production chain interruptions.
  • •Increased robustness by reducing the variabilities of the process characteristics.
  • Optimization of the process: setting the target of product characteristics with multi-parameters.
  • •Optimization of the process by reducing energy consumption, raw material consumption, and the quantity or the harmfulness of the rejects.
  • •Reduction of control costs: by selecting the most relevant variables to control product quality, by replacing expensive measures on samples, with attractive automatic measures, allowing for 100% control.
  • Thorough monitoring of a large number of measured caracteristics (from two to  thousand variables) by taking account of their interactions while controlling for false alarms.