Case Study

De reactivo a proactivo: Genere mejores resultados comerciales con machine learning

Conozca cómo se utilizó la tecnología de mantenimiento predictivo de Aspen Mtell para saber con 27 días de anticipación sobre fallas de la válvula central de una planta de plásticos especializada.

Case Study

S&B Engineers Case Study

Learn how S&B reduces estimating manhours by between 50-80% depending on project stage through use of ACCE on all bids and estimates.

Ebook

Digitalization and Data Analytics: Are you Missing a Crucial Ingredient in Your Process

If you’re like most food and beverage process manufacturers, it could take you weeks or months to sift through and interpret all your data. In an industry where quality and precision is everything, delays can result in unplanned downtime, defective batches, product recalls and cost overruns—all with the potential to negatively impact your company’s reputation and bottom line.

Case Study

Customer Testimonial: DeNovo Drives Operational Excellence through Dynamic Simulation and Real-Time Insights

Learn why DeNovo chose to deploy aspenONE® solutions to maximize production output while drastically reducing operations and maintenance costs.

Case Study

Saudi Aramco Increases Refinery Capacity by 100,000 Barrels/Day Using Plant Digital Twin

Learn how Saudi Aramco used Aspen HYSYS to analyze feasibility of refinery reconfiguration plans by developing plant digital twins of multiple units. The new reconfiguration plan projects a 100,000 barrels/day increase in the refinery’s processing capacity, a substantial reduction in fuel oil production together with a significant boost in diesel production capacity.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Ebook

Optimize for the “Business Trifecta”, Safety, Sustainability and Productivity

Discover how predictive maintenance and planned downtime can deliver positive results for your company when it comes to Safety, Sustainability and Productivity.

Case Study

Detección de fugas en el rehervidor con meses de anticipación

Descubra cómo un fabricante de termoplásticos de ingeniería descubrió la causa raíz de fallas recurrentes en sus calderas de tubos y calderas utilizando el mantenimiento prescriptivo de Aspen Mtell.

Case Study

Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Ebook

The Risk-Reduction Opportunity: Savings & Safety Through Predictive Maintenance

In production environments, changing conditions means increased risk. Operating companies have been shouldering more of this risk in recent years as insurance coverage becomes less readily available.

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