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C:Suite Visual Explorer (CVE)
THE Continuous Improvement
Tool
Visual Explorer is a tool for quickly
identifying opportunities for improvement and cost
reduction in your existing manufacturing processes.
It can be used on any
process for which historical data has been collected. It
has successfully been used for process improvement in
industries such as petrochemicals,
pharmaceuticals, chemicals, food, glass, plastics and
aircraft component production processes to name just a
few.
CVE works by analysing
your processes’ historical operating data and offline
quality measurements. This data contains incredible
amounts of information about how the process behaves.
Before Visual Explorer this information was very difficult to
extract due to the volume of data and the limitations of
the humble XY or XYZ graph that traditional data
analysis programs use. CVE’s breakthrough is that it
uses a novel technique to display every variable in the
process and its interactions on one 2D display.
When data is presented
like this, users can quickly use the software's powerful
query functions to separate good operation from bad.
When the difference
between good operation and bad is presented in this
format, opportunities for cost savings very soon become
apparent.
Improve the Six Sigma and
Lean Manufacturing technologies by increasing project
scopes, providing greater inclusivity for team members
and using much more powerful multi-variate methods than
previously available.
And you
needn't worry about lengthy training or restricting Visual
Explorer to
the mathematics geniuses. There is no maths visible at all
in this data analysis tool.
All you need are people that are familiar with the
process...and you've got those already.
Not only is this a completely unique and
mind-opening application based on ultra-modern technology
but all you need are the people, the process and the skills
you already have to reap outstanding benefits.
Increase throughput, increase
yield, reduce waste;
Save cost and operate your process to its full potential.
Contact us
process
improvement. process improvement. process improvement. data
analysis. data analysis. data analysis.
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