After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.

Aspen Technology Software to help Improve Operations and Supply Chain Alignment for Shell Catalysts & Technologies

In the current extreme VUCA (volatile, uncertain, complex and ambiguous) environment, chemical producers are learning the importance of operating with insight and agility. At the same time, companies are being tested for the depth of their resilience, and learning how to navigate huge shifts in demand, supply, workforce and economics, and emerge from this crisis in a stronger position.

AspenTech Production Accounting Reporting helps refineries measure production performance and achieve profitable operations with accurate yield accounting.

AspenTech's aspenONE MES Track and Trace solution helps you visualize and analyze material movements and batch operations with historical data.

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

アスペンテックは、第一原理に基づくプロセスシミュレーションモデルと専門知識をAIおよびアナリティクスアルゴリズムと統合するための手法を考案しました。その結果生まれたアプリケーションソフトウェアは、第一原理モデリングだけ、あるいはAIだけの場合よりも多くのことを達成できるハイブリッドモデリングシステムです。

第一原理モデルと、業界専門知識を備えた機械学習とを組み合わせたAspen Hybrid Modelsは、今日のプロセスエンジニアのサポート役としてインダストリアルAIの活用を広く大衆化します。 このビデオでは、Aspen Hybrid Modelsの概要をご紹介します。

Ready to move beyond outdated traditional maintenance practices? Harness the power of prescriptive analytics for the earliest warnings of failure.

Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate much of that data preparation. Through automated workflows, time and effort is minimized while reducing the skills and experience required by the end users. Maestro also tackles the selection of the hyperparameters that control the machine learning algorithm and automates feature selection to further reduce the need for data science skills. Watch this video to learn how this powerful AI technology can help you build better Agents in a fraction of the time.