Freud was Right: Accidents are Avoidable
One of Sigmund Freud’s most famous quotes centers around the “fact” that there is “no such thing as an accident”. Of course, his theories tended to be more of a philosophical representation of human behavior than scientific; but if there’s even an ounce of truth to his statement, could we control the future? What if you knew an accident were about to occur in time for you to avoid it? It would certainly change how we live. We could avoid life-altering personal injuries, traffic accidents, and medical emergencies, etc. and all the headaches that go along with responding to them.
Now, think what this would mean in the process plant. Documented benefits of costs you could avoid through early warning notification include:
A complete Asset Excellence solution provides three key offerings:
Smarter Operations, Now and in the Future
As IIoT/Industrie 4.0 continues to enable smarter equipment that creates increasing amounts of data, chemical companies are faced with both the challenges and opportunities to leverage data to mitigate risk and improve productivity. With predictive analytics insights, personnel know and understand the actual and expected performance for an asset’s current ambient, loading and operating conditions. They know where inefficiencies are and their impact on financial performance and can use this information to understand the impact of performance deficiencies on current and future operations. This information helps users assess the risk and potential consequences associated with each monitored asset and can be used to better prioritize capital and operational expenditures.
For more information, visit the Chemicals industry page.
Livia Wiley is the Sr. Product Marketing Manager for SimSci software at AVEVA. She is primarily responsible for expanding SimSci’s brand awareness and marketing of its design, simulation & training, and optimization software. She has more than 20 years of experience in process simulation; assisting clients model, troubleshoot, and optimize their processes through technical and economic studies. Prior to joining Schneider Electric in 2014, she worked for suppliers of process simulation and automation technology, including Honeywell, Aspen Technology, and legacy SimSci. Livia holds a B.Sc. in Chemical Engineering from Queen’s University, and a M.Eng in Chemical Engineering from the University of Houston.