On-Demand Webinar
Leverage History to Reduce Batch Cycle Time by 30% with Aspen ProMV
How can you use historical data to improve batch quality, increase yield and reduce costs? Join Dr. John MacGregor, a foremost thought leader on multivariate analysis and founder of ProSensus, as he shares how Aspen ProMV helps you solve the most complex manufacturing problems. Discover key capabilities to help you:
On-Demand Webinar
Optimize Operational Efficiency Through Digitalization Data Management
High quality standards and production goals are driving the need for reliable and readily available data in the Food & Beverage industry. But with so much data being recorded from various sources within your enterprise, is your data being used to its full potential? Without the proper digital tools in place, plants may invest in large CAPEX projects prematurely, or lose valuable time reviewing data rather than reacting to it.
Ebook
Digitalization and Data Analytics: Are you Missing a Crucial Ingredient in Your Process
If you’re like most food and beverage process manufacturers, it could take you weeks or months to sift through and interpret all your data.
In an industry where quality and precision is everything, delays can result in unplanned downtime, defective batches, product recalls and cost overruns—all with the potential to negatively impact your company’s reputation and bottom line.
Case Study
Análisis estadístico multivariable encuentra la causa de un problema de alta viscosidad en el aceite de enfriamiento
Una de las empresas más grandes a nivel mundial para productos químicos, plásticos y de refinación utilizó Aspen ProMV para entender y resolver sus problemas de producción causado por un problema de alta viscosidad en el aceite de enfriamiento. En este caso de estudio conozca cómo Aspen ProMV permitió a la empresa a destacar las principales variables de proceso que están altamente correlacionadas con problemas de viscosidad y que guio rápidamente a los ingenieros de proceso al problema subyacente para limitar las pérdidas.
Case Study
Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches
Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.
Case Study
Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue
One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.
Case Study
Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses
This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.
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