Case Studies

Injection Molding Growth Story

A global health care company has implemented multivariate analysis and real-time release for its injection molding process of medical device components using solutions from Sartorius Stedim Data Analytics. Since the implementation, the company has been able to increase its production volume substantially without any associated increase in headcount and has managed to eliminate delivery of defect components.

Get the Case Story

 

 

Kaiser Growth Story

Orthogonal Partial Least Squares (OPLS), a more recent and less well known modeling method for multivariate regression, has distinct benefits over traditional PLS modeling for some applications. Kaiser Optical Systems, Inc., a leading manufacturer of Raman spectroscopy equipment, embeds SIMCA®-Q software - part of the Umetrics® Suite of Data Analytics Solutions - in its Kaiser RamanRxn SystemsTM Analyzers. Sartorius used Kaiser Raman spectra data collected from in-line monitoring of batch cell culture processes to compare the results of regression analysis using OPLS versus PLS modeling.

Get Case Story

Tasly Growth Story

Tasly, a leading Chinese provider of botanical drug products, has implemented SIMCA® and SIMCA®-online in order to control batch-to-batch process variability and to monitor the manufacturing process in real-time. After the implementation, the company is able to identify deviations from an ideal process and to proactively take corrective steps, thereby ensuring a consistent product quality.

Get the Case Story

Umeå University Growth Story

An important mission for science today is to develop better diagnostics and better treatments of severe diseases such as amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). Recently, a research group at Umeå University, Sweden, has shed new ligh on the possibility to improve the diagnosis of ALS and PD and better understand the disease progression.

 

 Get the Case Story

 

Paper Manufacturing Growth Story

A paper specialty company has implemented a data-driven solution that predicts paper quality using SIMCA and SIMCA-online for real-time assessment of product quality. With the solution, the company has been able to reduce start up time by up to 50 percent with the corresponding reduction of spoil. The company is now deploying the solution to other paper machines and to other areas of the business.

Get the Case Story

Roche Growth Story

This quality-by-design example case shows how a multivariate study can be used to successfully predict formulation robustness of a biopharmaceutical product with a specified shelf life. Using Umetrics Suite, scientists at Hoffmann-Roche were able to create a design of experiment (DOE) study to predict antibody formula robustness using regression models that were both statistically significant and produced parameters for predicting the acceptable limits of robustness for the formula over time.

Get the Case Story

Chemical Company Growth Story

Trial and error. That’s one way to discover which molecules to use to create a new plasticizer with specific qualities. But it has its limits. It doesn’t do the best job of putting accumulated knowledge to good use as there are usually only a few people with the right knowledge and experience to contribute to development. A leading producer of specialty chemicals used the Umetrics Suite as part of a new tool and a new way of working with the aim of streamlining their work through better use of information – and saving time and resources.

Get the Case Story

 

All cases