Descargue este caso de estudio para conocer cómo uno de los complejos más grandes y completamente integrados de fundición y refinería de zinc y plomo deseaba mejorar sus operaciones metalúrgicas. Queriendo hacer un mejor uso de los datos que su sistema de gestión de mantenimiento registraba, la compañía realizó un piloto de Aspen Mtell para evaluar la efectividad del mantenimiento basado en monitoreo de condiciones de equipos.

As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.

A global pulp and paper manufacturer set out to predict risk and improve capacity using the power of automation.

전세계적으로 시장 상황의 변동성과 불확실성, 복잡성과 모호함이 가중되고 있는 VUCA (Volatile, Uncertain, Complex and Ambiguous) 환경에서 기업들은 경쟁 우위를 확보하기 위해 Industry 4.0과 AI 등 새로운 기술들을 도입하고 있습니다. 이 백서에서 선도적인 기업들이 어떻게 디지털 엔터프라이즈를 뛰어 넘어, 진정한 의미의 미래형 스마트 엔터프라이즈로 거듭나고, 지속 가능한 운영 효율성을 달성할 수 있는지 확인해 보십시오.

意外停机影响广泛，所波及的不仅仅是工厂的生产率和盈利能力。强制关机还会对工厂和人员安全、温室气体排放和环境合规产生重大影响。但是，如果你真的可以计划停机时间呢？在本文中，我们将了解机器学习和预测分析的进步如何消除意外停机，使公司最大限度地减少最危险的情况，减少排放到环境中的气体量，提高生产率和盈利能力。

Aspen Mtell provided a nine-day advance warning of imminent kiln overheating, allowing the plant to change operating conditions and avoid an operational shutdown. Download this case study to learn more.

A medida que las organizaciones en todo el mundo buscan la manera de prosperar en medio de condiciones de mercado volátiles, inciertas, complejas y ambiguas (VUCA por sus siglas en inglés), muchas recurren a las tecnologías de la Industria 4.0 y a las nuevas capacidades de IA para obtener una ventaja competitiva. Descargue este documento para aprender cómo los líderes del mañana crearán no solo la empresa digital, sino una empresa del futuro que sea verdaderamente inteligente, y de igual forma podrán alcanzar la excelencia operativa que será sostenible independientemente de las condiciones del mercado.

In this case study learn how a global oil and gas company was able to detect and predict a variety of pending equipment failures. Download today to uncover how Aspen Mtell enabled the company to correctly identify all reported events – as well as unknown problems.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.