Welcome to the World of Process Analytics PAT - Technology and Process Control

 
 

 




Companies - Automation Solutions - Control Technology
- Product Programs -
Analysers - Applications

Companies

Company Index

Gas Analytics

Liquid Analytics

Solid Analytics

Particle Analytics

Physical Parameter

Automation Solutions
Control Technology

System Components Sample Conditioning

Service Provider

 

  Company Index

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UMETRiCS

Rubrics : control technology
Software for Design of Experiments (DoE) and Multivariate Data Analysis (MTVA)
- for the individual user as well as for on-line continuous and batch processes -


   

Sartorius AG
Otto-Brenner-Str. 20
37079 Goettingen,
Germany

Phone:
+49.551.308.0
Fax:
+49.551.308.3289

Homepage
https://www.sartorius.com/en

E-mail:
info@sartorius.com

 

 

April 2017

Umetrics is Now Part of Sartorius Stedim Biotech

 

 

 

Products

Software Packages
mks offers a state-of-the-art suite of software products for data analysis.

eShop - online shoppen - books - courses - licences - produccts

 

MODDE GO - set up and Go!quickly improve your experimentation in product or process development

                        SIMCA - the standard Multivariate Datenanalyse with- the new Workset Wizard and Analysis Advisor guids through all necessary steps from data to  information.
                        SIMCA-Q - MVTA für OEM's - to be able to adapt things to work precisely the                         way you want them to go


SIMCA-online - MVDA to avoid failed batch processes

Technologies

  • chemometrics
  • Design of Experiments DoE
  • eshop - online shoppen
  • Multivariate Datenanalyse MVDA
  • OEM - embedded in your software package
  • PAT Process Analytical Technology
  • QbD Quality by Design
  • courses / training
  • software packages

Application Areas

  • beverages
  • chemicals
  • food
  • metals
  • minerals
  • mining
  • paper&pulp
  • PAT
  • pharmaceuticals
  • plastics
  • semiconductor

Data Analysis - Praxis and Theory

Appliacation of Design of Experiments and Multivariate Data Analysis - Theory and Praxis - Workshop 2009


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