本案例研究详细介绍了一家全球超级巨头采用的系统方法，该方法利用一流技术，利用Aspen PIMS-AO技术改进全球炼油厂和化工厂的生产计划。基于对不同技术的并行测试，Aspen PIMS-AO带来了新的见解，增强了对利润结果的信心，并加强了与交易者的对话。

In asset-intensive industries, a single failure of a critical, costly piece of equipment can result in millions of dollars in production losses. In a new report, ARC Advisory Group's Steve Banker describes how optimized production scheduling based on an integrated digital twin maintenance model enables these companies to convert unplanned downtime into less expensive, scheduled maintenance.

During this free webinar, Michael Reifer, leader of Momentive’s Sales, Inventory and Operations Planning (SIOP) Center of Excellence, and Aaron Hunt, SCM senior technical manager, will discuss how the company’s silicone and quartz business units excel at detailed scheduling and finite capacity optimization in both manufacturing and stock transfer scheduling. Additionally, they will share how Momentive’s SIOP Center of Excellence plays a key role in supporting sustainable talent and process development.

To drive profit, specialty chemical manufacturers need to get the most out of their assets.

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2019

IRPC Selects AspenTech Prescriptive Maintenance Software to Mitigate Unplanned Downtime

Aspen Mtell은 머신 러닝 기술을 활용하여 실제로 문제가 발생하기 전에 성능 저하와 임박한 고장을 나타내는 운전 데이터 내의 정확한 패턴을 인식합니다..

Descubra cómo Aspen Mtell utiliza machine learning para reconocer patrones precisos en los datos operativos que indican degradación y fallas inminentes, mucho antes de que suceda.

It can be difficult and time consuming to try to predict a process and how it will respond to different disturbances. In this webinar, you will learn how dynamic simulation can help you efficiently and effectively determine how a process will behave over time.

At the 23rd Indian Refining and Petrochemical Meet in Mumbai, BPCL showed how it has implemented the “digital twin” concept and laid out its vision for a digital future.