This case study details the methodical approach a global supermajor took, utilizing best-in-class technology, to improve production planning in global refineries and chemical plants with Aspen PIMS-AO technology. Based on side-by-side testing of different technologies, Aspen PIMS-AO led to new insights, increased confidence in results and enhanced conversations with traders.

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.

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

IRPC Selects AspenTech Prescriptive Maintenance Software to Mitigate Unplanned Downtime

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.

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

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.

Understand how Aspen Mtell’s Autonomous Agents share failure signatures across similar assets, enabling rapid time to value.

Siirtec Nigi increased their sulfur production from 50 to 90 tons per day using Aspen HYSYS Sulsim to simulate the case study and conduct a sensitivity analysis around their oxygen enrichment. The new process required minimal equipment changes and no additional downtime other than turnaround.