2021 AFPM Summit Virtual Edition: Improve reliability and optimize maintenance with advanced analytics
A common misconception in large-scale process manufacturing is that minimizing downtime is the key to increasing profitability. This mindset fails to address the fact that some downtime can improve capacity, increasing production and revenue.
Chemical manufacturers are using advanced analytics solutions to transform the way their employees solve data-intensive optimization problems.
Industry 4.0 has been a decade in the making but even now the technology is progressing at a rapid pace. This Industrial Ethernet Book special report on Industry 4.0 looks at the impact of cyber physical systems, data democratization and new solutions for connecting with smart manufacturing operations.
In the process manufacturing world, a significant increase in IIoT implementations has expanded organizations’ accessibility to both operational and equipment data.
Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.
Allison is an integral part of the Seeq team both internally and externally. Her technical competence and deep domain knowledge of the chemical and petrochemical spaces have helped Seeq land new and grow existing business.
John Cox, Seeq, explains why advanced analytics provides the specialized functionality required to accelerate insights when working with time-series data.
Day two’s plenary discussion at CIM’s Virtual COM 2021 explores adapting to a cloud-based environment
Are these common myths keeping your utility from adopting advanced analytics?
Here’s how advanced analytics software finds the root cause of, and the solution for, operational delays in batch processes.