Learn how DuPont, one of the world’s largest producers of chemicals and science-based products, successfully migrated over 23 years of historical data in Aveva PI to Aspen InfoPlus.21® in less than 4 days while reducing implementation costs by 45%.

Neste estudo de caso, saiba como a MOL adicionou recentemente o software Aspen Mtell® da suíte de software AspenONE® Asset Performance Management (APM) ao seu portfólio de soluções AspenTech para aumentar a eficiência a eficiência operacional e aumentar a sustentabilidade. Isso contribuiu significativamente para as operadoras na aceleração dos planos de digitalização. A Aspen Mtell tornou-se parte integrante do plano estratégico de digitalização da MOL, que inclui iniciativas para extrair maior valor de seus ativos e aumentar a disponibilidade geral da planta para mais de 96%.

En este caso de éxito, descubra cómo MOL agregó recientemente el software Aspen Mtell® del paquete de software AspenONE® Asset Performance Management (APM) a su cartera de soluciones AspenTech para impulsar la eficiencia en las operaciones de la planta y aumentar la sostenibilidad. Esto supuso una importante contribución para los operadores a la hora de acelerar los planes de digitalización. Aspen Mtell se ha convertido en una parte integral del plan de digitalización estratégica de MOL, que incluye iniciativas para extraer mayor valor de sus activos y aumentar la disponibilidad general de la planta a más del 96 por ciento.

In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.

ORYX GTL Limited is a gas-to-liquids (GTL) diesel and naphtha producer located in Doha, Qatar. The company is committed to reducing its carbon production through the minimization of flaring. By implementing AspenTech´s product and process quality analytics solution, Aspen ProMV®, ORYX was able to increase its diesel and naphtha yield.

A global petrochemical producer wanted to improve monitoring and efficiency, specifically starting with energy consumption, of its pyrolysis furnaces by integrating a predictive vision. With the current process, it was challenging to maintain unit efficiency and stay at a consistent operating level. The company was able to solve these challenges by implementing Aspen ProMV™.

GSK wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. 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%. Read this case study to learn more.

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.

Ferring Pharmaceuticals, a multinational biopharmaceutical company, needed a solution that would enable faster commercialization, more cost-efficient production and reduced supply lead time while maintaining product quality in support of digitalization initiatives. The company used AspenTech’s Advanced Process Analytical Technology (PAT) solution—which includes Aspen Unscrambler™ and Aspen Process Pulse™—to address this challenge.

GlaxoSmithKline (GSK) implemented Aspen Mtell® to increase the robustness of their pharma supply chains by preventing unplanned production downtime.