Unplanned downtime has wide-ranging impacts that affect more than just a plant’s productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as gre...
Executive BriefMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoA specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.
Case StudyMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoMaking big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profita...
White PaperAfter an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly ...
ArticleDigitalization, IIoT and Industry/Industrie 4.0 are essential to provide a platform for businesses to respond to industry changes. What does that mean?
BlogMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoPrescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of...
White PaperUnplanned downtime has wide-ranging impacts that affect more than just a plant’s productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as gre...
Executive BriefMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoA specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.
Case StudyMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoMaking big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profita...
White PaperAfter an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly ...
ArticleDigitalization, IIoT and Industry/Industrie 4.0 are essential to provide a platform for businesses to respond to industry changes. What does that mean?
BlogMachine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...
VideoPrescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of...
White PaperGet early and accurate warning of when an asset failure will occur, how the failure will occur and what to do about it.
Everything is different. You’ve got a lot of decisions to make and you need to quickly compare options. Aspen Fidelis can simulate the range of scenarios and show you the impact on overall plant perfo...
Get early and accurate warnings on process health deviations with insights to prevent off-spec product, maintain efficiency and rapidly optimize operations.
An enterprise integration solution built for diverse historians and data sources that effortlessly collect production data in real-time.
Providing a holistic view of the entire plant using the cloud – and no data is left behind.
Improve project and operations performance with actionable data insights from across the enterprise.