Discover more about GPC below.
 

GPC...Is the successor to SPC.

It totally solves the problem of extending the single-variable benefits of SPC to multiple variables and includes a new multi-variable control chart. It does all this using geometry instead of statistics so is a truly discontinuous innovation.

GPC...Advances the Six-Sigma improvement process.
 
By replacing the limited multi-variate methods at the heart of Demings DMAIC
 cycle with new methods that can cope with hundreds of variables insteadof the
ten or so that are possible today. This means fewer projects but of wider scope
 so reducing overheads and avoiding sub-optimisation. And no one needs
mathematical spacialisation to understand it so everyone on the site
 can participate and understand the results.

Find the secrets buried in your plant data

GPC...greatly improves process understanding by substantially improving your ability to extract information from existing process history data.

You always knew that there was a lot of information and process understanding available in your historical process data. That was how your company originally justified the purchase of a process historian, wasn't it? But the reality until now was that you lacked usable methods for extracting all but a fraction of the information so have probably used your historian mainly for post-event sequence-of-events confirmation. 

Imagine, for instance, how a multi-variable contour chart of many process variables by product grade would simplify process understanding and allow better communication amongst all your staff from the Process Operator to the Site Director.

And all this from existing process history data without requiring disruptive and expensive Plant Experiments and Test Runs. It is now possible with C:Suite Visual Explorer. 


GPC...greatly simplifies Setting Up a process by very quickly finding consistent and therefore better Operating Procedure Limits for both continuous and batch processes
Discover more with Visual Explorer and other C:Suite products

Today you find Control Limits or Operating Procedure Limits one variable at a time and continuously revise them to try and get better plant performance. We will show you why the one-at-a-time methods can't work and give you Inconsistent Limits. Then we'll show you how much easier and faster it is to find many Consistent Limits at the same time and calculate the process improvement that you will obtain. 

GPC will also guide further investments in process improvement by clearly identifying which variables need improving next.

Used at Commissioning time for a new plant these methods can reduce the time to reach acceptable performance levels.  



GPC...
Provides the first ever method to calculate values for Alarm Limits.

There has never been a method of calculating values at which to place alarm limits yet a little thought quickly reveals that wrongly set Alarm Limits are where all the problems
of Alarm Systems begin. The mathematical basis means that the Alarms generated by GPC are of much higher quality than the Alarms you have been used to so there are very few false alarms. This means GPC Alarms are in 'closer' and thus annunciate earlier before process disturbances have had time to become established so much smaller corrective action is needed and the operator has much more time to respond. We were proud to receive the 2003 EPSC Award for the biggest single contribution to improving process safety for this first-ever fundamental definition of process alarms.
 

GPC...does Condition Monitoring without a first-principles process model.

The Operating Envelope of a process can be made as wide as the normal operating span of a process so that operator intervention or automatic control action is only needed in extreme, hence rare, non-normal situations. The non-linear nature of GPC models makes them very effective at spotting small single-variable anomalies even though the magnitude of the anomaly means that it is still well inside the fixed normal operating range for the variable. The detected anomaly is effectively a slight change in the relationship to other variables and is thus an early and sensitive detector giving increased time for reaction.
 

Have the ideal operator at the controls 24/7GPC...additional synergistic benefits available when used to improve Model Based Control.

The algorithms used in Model Based Control require a constrained solution space. This has long been a limitation as no methods are provided to calculate the constraints. They are either left fixed, when they must always be wrong, or they are left for the operator to adjust but from time-to-time this leads to the operator getting into a 'constraint corner' and having to call for assistance from a control engineer. GPC, however, can calculate very good constraints for MBPC including, if desired, excellent knowledge of the process capability with respect to laboratory qualities. These better constraints allow MBPC to calculate better process movements and
remove the dependency of MBPC on over-simplified equations
modelling the relation of laboratory qualities to process variables. 
 

GPC...for Fewer Designed Experiments 

The non-linear GPC models are able to create a model of the Response Surface from the results of the first round of Designed Experiments (DOE). The Surface can be visually explored by the experimenter himself to determine which additional experiments to perform. Todays methods require multiple linear regression to fit the surface with skilled mathematical interpretation of the results. This cannot usually be done by the experimenter himself leading to delay and additional cost which are eliminated by using GPC. Additionally, the experimenter has better domain knowledge and can sometimes use this advantageously to eliminate an experiment. Note that half-factorial experimental designs should not be used. 
 

GPC...for faster FormulationsControl Panel

Allows Formulators to visually explore and interpolate between formulations and predicts the ranges of properties
of a new formulation.
 

GPC...for High Throughput Experimentation

The interesting experiments are the ones with different results but it can be time-consuming to recognise one or two amongst several hundred while also being certain that none have been missed. The visual methods of GPC make it a breeze. Use the time saved to do more experiments and increase your chances of making a big discovery sooner.

 
GPC...
for comparison of frequency spectra

If you have 800 frequencies in your spectra how do you begin to compare one sample with another? Try doing it visually with GPC and you may be surprised by how much additional information you obtain