Because traditional diagnostic methods weren’t preventing equipment failures or identifying root causes of historic failures, a U.S. refinery turned to Aspen Mtell prescriptive maintenance to improve internal data science resources. Download this case study to learn how this refinery's pilot program with Aspen Mtell was able to predict failures with nearly one month of lead time, enabling planning for maintenance and rescheduling production.

Saras拥有地中海最复杂的炼油厂，每天的炼油产能为30万桶。作为数字化项目的一部分，他们正在评估如何提高资本和资产密集型炼油厂运营的可靠性。他们选择了AspenMtell，基于一个竞争性试点项目选择过程，最初的重点集中在关键炼油设备上，比如大型压缩机和水泵。 Aspen Mtell通过挖掘历史和实时操作以及维护数据来发现资产性能下降和故障发生之前的精确特征，预测未来故障并制定详细的行动以缓解或解决问题。

了解凯诺斯公司如何借助Aspen Plus®间歇模拟，获得关于流程的宝贵见解，从而减少工厂试验和实验，保证流程响应不断变化的客户需求。

FP Corporation (FPCO) is Japan’s largest manufacturer of food containers and a logistics service provider delivering a range of products to stores engaged in food distribution. They needed to provide stable and responsive food distribution in an efficient and environmentally friendly way.

Download this case study to learn how Petrofac used Aspen HYSYS with Activated EDR models to optimize heat exchanger selection and configuration for a gas production client. This solution achieved the client's goal by increasing gas field production 20%, and as a bonus, reduced CAPEX 25%.

Shell Oil Company is a global energy and petrochemicals company that produces natural gas, gasoline, oil, and many bulk and specialty chemical products for customers worldwide. Read this case study to learn how Shell’s Manufacturing Margin Optimization team uses AspenTech solutions and AWS Cloud to optimize its energy and petrochemicals business, including planning and scheduling applications.

Air Products has seen between 2% and 5% improvement in plant capacity by using AspenTech solutions, as well as significant improvements to recovery and efficiency. Learn more by watching this video.

Aspen Batch APC™ (Advanced Process Control) is a closed-loop, model-predictive batch control system that improves product quality and yield, and lowers cycle times. It features a built-in optimization engine that predicts end-of-batch quality attributes at key decision points along the batch process. Aspen Batch APC enables manufacturers to improve process stability and product consistency for higher margins with a solution specifically designed for batch processes.

Aspen PIMS is a scalable planning system that helps companies optimize feedstock selection, product slate, plant design, and operational execution. Learn how the how Aspen PIMS family can enable you to make fast, accurate, and profitable decisions about plant operations and much more.

Generate optimal production schedules to maximize profitability and meet service levels with the Aspen Plant Scheduler Family.