Close the gap between planning and execution by improving asset utilization and ensuring efficient and sustainable manufacturing processes.

AspenTech's performance engineering solution reduces plant CAPEX and OPEX while improving time to market, energy efficiency and profit margins.

Build, deploy, and host industrial artificial intelligence applications at enterprise speed and scale for your business self-optimizing plant and shop floor.

Learn how AspenTech’s hybrid artificial intelligence models helps the process industry solve difficult problems with AI.

持続可能性

Close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ aligns planning and scheduling objectives by dynamically optimizing and coordinating multiple process units in real time to ensure the best site-wide economic results, consistently and on a minute by minute basis. Download this brochure to discover how companies are minimizing product giveaway, increasing throughput, improving yields and much more!

Refiners and chemical manufacturers continue to struggle with margin leakage due to gaps between planning and operations. Innovations in modelling and optimization technology now enable you to coordinate and optimize multiple process units in real time to ensure the best site-wide economic benefits—and do it on a consistent, minute-by-minute basis.

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

This white paper considers the challenges power generation operators face today and the forces that are driving demand for more proactive maintenance strategies. Gain insight into predictive maintenance that is being used to create a more comprehensive, correlated, efficient and effective environment for the collection, management,analysis and presentation of data. Discover the critical differences that make predictive maintenance a much more efficient and effective alternative to planned and condition based maintenance methodologies.

最近のGartnerの調査によると、製造業の回答者の85％が、スマート製造戦略に関連する最大の課題は他のサプライチェーン機能との統合であると報告しています。 本ホワイトペーパーでは、業界のリーダーがバリューチェーン全体を調整し、顧客中心、収益性、需要と供給の変化への対応を強化した事例をご紹介しております。