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.

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Aspen Plant Scheduler

Generate optimal production schedules to maximize profitability and meet service levels with the Aspen Plant Scheduler Family.

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.

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Aspen PIMS Family

Aspen PIMS is a scalable planning system that helps companies optimize feedstock selection, product slate, plant design, and operational execution. Learn how the how Aspen PIMS family can enable you to make fast, accurate, and profitable decisions about plant operations and much more.

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.

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Aspen GDOT™

借助Aspen通用动态优化技术(General Dynamic Optimization Technology)缩小计划与实际运营之间的差距。Aspen GDOTTM 通过实时动态优化和协调多台工艺装置调整计划和调度目标,以确保始终实现惠及全厂的最佳经济效益。

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.

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Aspen GDOT™

Cierre la brecha entre la planeación y la operación actual con Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT alinea los objetivos de planeación y programación de forma dinámica para optimizar y coordinar múltiples unidades de proceso en tiempo real y asegurar los mejores resultados económicos en todo el sitio de manera consistente y minuto a minuto.

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.

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Aspen GDOT™ 供烯烃厂使用

使用Aspen Generic Dynamic Optimization Technology(GDOT)缩小计划与实际操作之间的差距。艾斯本 Aspen GDOT 通过实时动态优化和协调多个工艺装置来协调计划和调度目标,以确保现场范围内的最佳经济效果,一致且以分钟为单位。下载本手册,了解公司如何提高吞吐量,提高产量等。

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