Case Study

Mid-Size EPC Reduces Cost Estimating Time Up to 90% to Meet Tighter Schedules and Budgets

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

Case Study

Digital Supply Chain Helps FPCO Reduce Emissions and Waste, Meet Sustainability Goals

FP Corporation (FPCO) is Japan’s largest manufacturer of food containers and a logistics service provider delivering a range of products to stores engaged in food distribution. They needed to provide stable and responsive food distribution in an efficient and environmentally friendly way.

Case Study

Digital Transformation with Predictive Maintenance Drives Cost Savings

When this large energy company launched its digital transformation initiative, it turned to Aspen Mtell® to execute an online predictive maintenance pilot on a hydrogen compressor.

Case Study

Owens Corning Standardizes on Aspen Plant Scheduler and Receives Rapid Deployment Results

Find out how Owens Corning went live concurrently across 14 manufacturing locations with Aspen Plant Scheduler in less than 12 weeks, and enabled schedulers to make decisions that were impossible to make just a few years earlier.

Case Study

Dos fallas inminentes se detuvieron a las dos semanas del monitoreo

Lea cómo esta compañía minera utilizó Aspen Mtell para predecir dos posibles fallas cuando se implementó en 12 activos durante un breve piloto en línea. Permitiendo así, un tiempo de inactividad planificado de equipos críticos, ahorrando dinero por cortes inesperados.

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

Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

Case Study

Pan Pacific Relies on Process Modeling to Optimize Algae-to-Biofuel Conversion (Aspen Plus)

Pan Pacific Technologies was seeking a rigorous approach to validate the technical and economic feasibility of its proprietary algal conversion concepts. Through innovative use of Aspen Plus and Aspen Process Economic Analyzer, they developed successful technical and economic models with applications in both academia and industry.

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

PEMEX agiliza la ejecución de proyectos con diseño optimizado y estimación de costo

Descubra por qué PEMEX eligió una solución de aspenONE para ayudarlo a construir un Centro de Excelencia para impulsar el rendimiento operativo.

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