Processing Magazine: Why Time's Up on Preventive Maintenance
In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.
Progressive Railroading - The Next Wave of Technological Wonders
“Automation also can help identify issues before something critical fails. Finding problems as early as possible helps improve asset management,” says CSX Executive Vice President and Chief Operating Officer, Cindy Sanborn. Read this article to learn more about CSX’s exciting project with Mtell, which uses patented machine learning technologies with industrial assets to perform predictive maintenance which no longer runs parts to failure.
Secure Your Refinery Profit Margins by Keeping Planning Models Up to Date
See how refineries can keep their profit margins high by maintaining their planning models up to date, in the face of changing operating conditions, using capabilities built in Aspen HYSYS.
Statoil Seeks Standardization to Optimize Offshore Operations
Are you exploring all avenues to enhance operational productivity, efficiency and safety at your plant? Download this article to learn how Statoil introduced one standard solution for storing and presenting process data to achieve cost savings and simplification.
Modelling for ULSD Optimisation
This article (published in the Q2 2011 issue of PTQ Magazine) describes how the on-line coordination and optimisation of refinery process units led to a 10% increase in middle distillate production without investing in process units or equipment.
Momentive: Going with the Flow
“We have been able to generate a lot of value at our plants: minimizing changeovers, reducing inventory because of a better sequence plan, and gaining better visibility” – William Duty, Director of Momentive’s Supply Chain Center of Excellence
Efficient Plant: Use Industry 4.0 To Elevate Sustainability
In this article, AspenTech's Paige Marie Morse delves into how digital-transformation technologies can help industrial organizations cut energy costs while reducing environmental impact. Download now to discover how AI and machine-learning technology combined can enable companies to predict asset malfunctions well in advance and have positive financial and sustainable results.
Improve Refinery Margins Using a Refinery-wide Process Model
See how you can use Aspen Technology solutions to develop a refinery wide process model that would enable refinery process engineers to evaluate the economic impact of operational changes and help planners achieve a more accurate assessment of profit margins.
Industrial Data is a Goldmine Building a Sustainable System of Success
To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.
Digitalization is the Next Step in Chemicals Excellence
Digital technologies offer significant opportunity for improved quality and cost savings across the chemicals industry by enabling more efficient design, operation, and maintenance of assets throughout their lifecycle. However, many chemical companies are still in the early stages of understanding how such opportunities can be applied effectively to their business. This article highlights how top companies are using data to drive business and operational decisions, and are progressing with their own transformation to the next level of performance and operational excellence.