The process industries are now more than ever being reshaped through digital initiatives, with the intent to become more proficient in designing, building and operating process plants. In this executive brief, read how AspenTech and Hexagon are working together to help engineering firms and plant owners realize their digitalization journey.

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Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. Machine learning is used to create the model, leveraging simulation or plant data while using domain knowledge, including first principles and engineering constraints to build an enriched model without the need for modeling or AI expertise.

Learn how an advanced scheduling solution can help ensure your refinery stays right on schedule while gaining a competitive advantage in the market.

최근의 구조적 인력 이동과 전례없는 시장 변동성에 비추어 볼 때, 기업들은 산업용 AI 애플리케이션에서 비즈니스 성과를 도출할 수 있는 기능들을 더욱 필요로 합니다. 산업용 AI는 오퍼레이셔널 엑셀런스를 이끄는 원동력으로서, 경쟁 우위를 유지하는 데에 필요한 새로운 비즈니스 모델로의 성공적인 전환을 지원할 것입니다.

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AspenTech® experts have put together this document on top questions and answers to help you get the most value from your process simulation tools including tips and tricks that you can use immediately to reduce batch cycle times and improve overall product quality.

Many new improvements have been made to Batch Modeling technology in Aspen Plus, including the integration of the technology previously available with Aspen Batch Modeler and the introduction of new unit operations, including batch crystallization. This document covers our answers to some of the most commonly asked questions about this technology.

Aspen Technology Announces Date of Third-Quarter Fiscal 2015 Financial Results Release, Conference Call and Webcast