View this infographic to see how leveraging AspenTech's integrated solution suite can help improve margins for your refining operations

In this webinar, Michael Strobel, Sr. Director of Product Management at Aspen Technology, Inc., along with leading industry consultant David Hart, discuss how EPCs firms can win new CAPEX and OPEX projects while managing risk and increasing profitability in today’s lump-sum, turn-key environment. Learn how you can differentiate your services by smartly reducing CAPEX for your customers and create new sources of revenue for your firm by improving reliability during operations.

Aspen Technology Announces Date of Fourth-Quarter Fiscal 2018 Financial Results Release, Conference Call and Webcast

Aspen Technology to Host Investor Day 2018

処方的メンテナンスをいち早く採用されたお客様がどのようにダウンタイムを削減し、設備の信頼性を向上させていらっしゃるか一目でご覧いただけます。結果、２週間半で処方的メンテナンスを実装されています。

Manufacturing companies in all industries are utilizing manufacturing execution systems (MES) to reduce cost and increase productivity in real-time and drive operational excellence. During this webinar, you’ll learn best practices for centralized performance monitoring to improve plant productivity. Learn how to elevate the most important opportunities to add value across an enterprise, increase output and quality with real-time data analysis and process improvements, and successfully deploy MES solutions in the cloud.

Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.

BPCL Standardizes on AspenTech Software to Drive Asset Optimization FINAL Press Release

Learn the six best practices in planning and scheduling that will enable plants to advance their technological maturity—making your plant more reliable and profitable.

Why is having an accurate planning model important? It demonstrates visually how a 1% error can cost millions.