多くの企業は、この変化する状況の中で、安全性、資産の健全性、排出量管理、廃棄物削減など、持続可能性の目標をビジネス目標に組み込んでいます。デジタルテクノロジーによって、ポリマー製造会社は、より大きなリターンを獲得し、新しいレベルの最適化を推進する機会を得ることができます。

This article, featured in The Chemical Engineer, discusses why operators often struggle to know where to begin to digitally transform. AspenTech's Paige Morse outlines how many operations, particularly in specialties, have become increasingly complex as customers demand higher levels of performance and quality and a greater range of options from producers. Operators realize they need to diversify product lines to meet these increasingly sophisticated needs. Download this article to learn more.

After 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 debilitating event—happening again. Read this article from Plant Services to learn more.

“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

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.

To be a leading 'player' today's specialty chemicals environment, overcoming these challenges is crucial to staying competitive and ensuring the entire supply chain is optimized.

“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.

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.

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.

This article (published in 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.