MSU Case Story
Michigan State University (MSU), one of the largest public research universities in the United States, operates its own large-scale power supply with multiple industrial steam boilers and turbines.
Using Multivariate Data Analysis to create unique models, the university staff was able to uncover operational changes that could save more than $1 million USD a year in fuel costs and capital expenditures, while also gaining insights to extend the lifetime of equipment, reduce carbon emissions and support operator training.
AU Optronics Growth Story
A leading manufacturer of flat panel displays was looking to implement cutting edge technology that would make them unique in a very competitive world. The Umetrics Suite helps the company understand and detect developing problems – and correct them – in real-time. The result is higher margins and a valuable advantage in a highly competitive market.
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.
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.
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.
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 light on the possibility to improve the diagnosis of ALS and PD and better understand the disease progression.
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.
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.
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.