Case Study

Cabot Improves Quality by 30% with Aspen InfoPlus.21®

Cabot standardized on Aspen InfoPlus.21, part of the Aspen AIoT Hub™, across all manufacturing sites, improving product quality by 30% and reducing product variability by 20%.

Case Study

Infineum Increases Production by Globally by 2,000 Tons per Year with Aspen InfoPlus.21

Learn why this world-class specialty chemical producer turned to the Aspen AIoT Hub to improve manufacturing efficiency and increase annual production.

Case Study

How ORYX GTL Improves Process and Production with the Aspen AIoT Hub™

Read this case study to learn how ORYX GTL deployed two Aspen AIoT Hub products—Aspen InfoPlus.21® (IP.21) and aspenONE Process Explorer™ (A1PE)—as the underpinning their digitalization journey.

Case Study

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

Shell Oil Company is a global energy and petrochemicals company that produces natural gas, gasoline, oil, and many bulk and specialty chemical products for customers worldwide. Read this case study to learn how Shell’s Manufacturing Margin Optimization team uses AspenTech solutions and AWS Cloud to optimize its energy and petrochemicals business, including planning and scheduling applications.

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

Refinería en Reino Unido incrementa producción de destilados medios con Aspen GDOT™

Descargue este caso de estudio para conocer cómo una refinería en el Reino Unido utilizó Aspen GDOT para incrementar su producción de destilados medios en un 10%. La tecnología de lazo cerrado se ajusta automáticamente a múltiples unidades de proceso con base en condiciones cambiantes para mantener la consistencia del producto y mejorar el desempeño global de la refinería. Descubra cómo puede hacer que sus operaciones sean más rentables al utilizar Aspen GDOT.

Case Study

Refinería optimiza tren de destilados medios en tiempo real con Aspen GDOT™

Aprenda cómo una de las compañías de energía multinacionales más grandes del mundo uso Aspen GDOT en una de sus refinerías para maximizar la producción de diésel especifico y de jet. Al usar optimización en tiempo real a través múltiples unidades de APC, la refinería fue capaz de reducir en un 70% el regalo de azufre. Descargue este caso de estudio para conocer cómo puede optimizar su producción y reducir el regalo de calidad de su producto.

Case Study

Japanese Pharmaceutical Company Improves Quality with Aspen Plus<sup>®</sup>

A 140-year-old global pharmaceutical company with headquarters in Japan adopted Aspen Plus to improve the synthesis of a new active pharmaceutical ingredient (API). Aspen Plus provided an in-depth understanding of a new API process leading to equipment improvements and optimized recipes that enabled development of a continuous process.

Case Study

GlaxoSmithKline Speeds up Batch Release Time: A Study in Digital Transformation

GlaxoSmithKline (GSK) wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. Reducing batch review time usually results in faster batch cycle time, meaning higher throughput at the production facility and faster cash-to-cash cycle time. AspenTech was selected for this process due to integration with other solutions, such as Aspen InfoPlus.21® and GSK’s existing plant automation software (DCS). The pilot project was a resounding success, reducing order preparation time by 95% and record review time by over 50%.

Case Study

Cómo Braskem Idesa incrementó su tiempo útil en más de 20% utilizando datos y recursos existentes

En este caso de estudio, conozca cómo Braskem Idesa utilizó Aspen ProMV ™ para identificar y corregir de manera proactiva y de acuerdo a las condiciones históricas que llevaron a una mayor velocidad de ensuciamiento.

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