Two supply chain trends are expected to continue in 2021: Resilient and Sustainable Supply Chains and Sales and Operations Execution (S&OE).

Large Specialty Chemical Company develops advanced KPI production partial portal tool using Aspen InfoPlus.21 tools, building upon their extensive Aspen InfoPlus.21 installation.

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As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.

意外停机影响广泛，所波及的不仅仅是工厂的生产率和盈利能力。强制关机还会对工厂和人员安全、温室气体排放和环境合规产生重大影响。但是，如果你真的可以计划停机时间呢？在本文中，我们将了解机器学习和预测分析的进步如何消除意外停机，使公司最大限度地减少最危险的情况，减少排放到环境中的气体量，提高生产率和盈利能力。

Learn why this world-class specialty chemical producer turned to manufacturing execution systems (MES) solutions from AspenTech to improve manufacturing efficiency and increase annual production.

Learn how Fluor created a digital twin of their entire sulfur recovery unit, including recycle streams, in a single file using Aspen HYSYS® with Sulsim. Read this case study to find out how AspenTech’s solution for SRU optimization allows users to increase production, reduce OPEX and meet emissions regulations by modeling the complexities of the SRU and the full gas plant.

오늘날의 VUCA (Volatility, Uncertainty, Complexity and Ambiguity), 즉 시장의 변동성과 불확실성, 복잡성, 모호성이 가중되고 있는 상황에서 기업들은 인공지능(AI) 기술과 자율 및 반자율 기술을 활용하여 새로운 차원의 안전성과 지속가능성, 수익성을 달성하는 방법을 모색하고 있습니다. 이는 셀프 옵티마이징 플랜트(Self-Optimizing Plant)를 향한 여정의 시작을 의미합니다.

現在のVUCA環境において、新たなレベルの安全性、持続可能性、および収益性を実現する自律／半自律プロセスの開発のために、デジタライゼーションやAIに目を向ける企業が増えています。自己最適化プラントへのジャーニーはそこから始まります。自己最適化プラントがどのようにして以下のことを可能にするのか、是非このエグゼクティブブリーフでご覧ください。