V11でリリースした新たなサプライチェーン マネジメント機能は、アスペンテックにおけるムーンショットと言えます。これは、新たなバリューチェーン創造の扉を開くビジョンです。

Thought leadership article on AI

We remember Dr. Charles (Charlie) R. Cutler, a pioneer of advanced process control (APC) and a former Aspen Technology senior consultant, who passed away in March.

In a recent interview with Singapore Business Review - Sanjeev Mullick, VP, Regional Sales APAC at AspenTech - shares how Aspen Mtell enables enterprises to adapt in the current volatile environment and move ahead in their Industry 4.0 journey, future plans, and thoughts on winning the SBR Technology Excellence Award for the AI - Manufacturing category.

Digital technology such as cloud computing is transforming the way companies do business. By deploying cloud technology, energy and chemical companies can efficiently process scenarios needed to mitigate business risk even faster. Download this white paper to learn more about the benefits of deploying Aspen PIMS-AO in the cloud and the competitive advantage it provides.

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.

壳牌的制造业利润优化团队使用AspenTech解决方案优化其能源和石化业务，包括规划和调度应用程序。 在与AspenTech高度合作的全球项目中，壳牌成功地在云上部署了Aspen PIMS-AO，从而提高了利润率，改善了工作与生活的平衡，降低了IT成本。阅读本案例研究，了解如何在云中使用Aspen PIMS-AO提高利润率。

Las compañías mineras invierten fuertemente en activos para todas las etapas del proceso minero: extracción, procesamiento, refinería y distribución del mineral. Al monitorear la condición y el comportamiento de los activos y desarrollar perfiles de operaciones normales, anomalías y fallas, las herramientas de mantenimiento predictivo pueden notificar al personal sobre los problemas del equipo antes de que ocurra falla. Este documento describe cómo el mantenimiento predictivo proporciona a las organizaciones mineras la inteligencia necesaria para:

Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure. This paper outlines how predictive maintenance provides mining organizations the intelligence needed to: