Shell Accelerates Planning, Improves Margins with Aspen PIMS-AO in the Cloud
Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.
Webinar: How YPFB Optimizes Upstream Production with Digital Twin Technology
YPFB plays a vital role in the exportation of gas in South America. When production started to decline in two of Bolivia’s major natural gas fields, YPFB needed to overcome this challenge and still meet contractual obligations.
Blacks Swans and Gray Rhinos: Building Future Resilience
As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.
How Digitalization and Industrial AI are Accelerating Sustainability
The 2015 Paris Agreement and other international climate change accords have helped raise global awareness of the need for countries to take urgent action to combat climate change. As companies continue to focus on sustainability, a common theme is taking shape around the role of digitalization as a key enabler. In fact, a recent ARC Advisory Group survey revealed that 75% of respondents rated digital transformation as highly important for achieving sustainability goals.
数字化和工业AI如何加速可持续发展?
2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性,围绕数字化作为关键推动因素的作用,一个共同的主题正在形成。事实上,ARC咨询集团最近的一项调查显示,75%的受访者认为数字化转型对于实现可持续发展目标非常重要。
셀프 옵티마이징 플랜트: 산업용 AI가 주도하는 자율 공장의 시대
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.
自己最適化プラント: インダストリアルAIが支える、新時代の自律性
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。
自己最適化プラント:産業用AIが支える 新時代の自律性
Une Entreprise qui s'Auto-Optimise : Une Nouvelle Ère d'Autonomie, Propulsée par l'IA Industrielle
Alors que nous nous adaptons à la "nouvelle norme" de volatilité extrême, d'incertitude, de complexité et d'ambiguïté, les entreprises du monde entier reconnaissent la nécessité d'exploiter leurs actifs et leurs chaînes de distribution avec une plus grande résilience, flexibilité et agilité afin de pouvoir répondre aux conditions changeantes du marché.
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