Are you wondering how your site stacks up against those of your peers? Do you know what your Advanced Process Control (APC) Score is? Gain key insights into your APC program and find out how best to measure it against others by reading this white paper. Determining where you stand compared to your competitors is a key step toward closing your APC GAPs and improving your site’s profitability. Download this white paper and learn how you can also participate in a benchmarking survey and be a part of an exciting study!

この記事では AspenTech AIoT platform のIoTアナリティックスが、センサや稼働中デバイス の時系列データを使用し、設備資産のAsset Health スコアをどのように算出しているかを解説します。Asset Health スコアによって、サービスチームはリアルタイムで設備資産の健全性を把握で き、サービス業務やメンテナンスにかかる費用の削減につなげることができます。

Download this article featured in EPC World, to learn how digital transformation is pushing EPC firms to tap into Industry 4.0 principles to automate their workflows, reduce engineering man-hours and collaborate globally.

ACCE is central to your strategy to lower CAPEX for your bids or estimates by being one common bidding and estimating platform across the bidding cycle.

As energy companies shift to a new normal due to the pandemic, the energy transition continues to gain strong momentum. Industry leaders are focused on meeting aggressive sustainability targets and are making investments in digitalization to accelerate innovation.

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.

従来の対処的メンテナンスだけでは、不測の事態に対応できません。手軽な機械学習による資産パフォーマンス管理(APM) により、今や製造工場のスタッフが、何十年にもわたって蓄積してきた設計や運用データから容易に価値を引き出し、資産（主に装置などのハードウェア）のパフォーマンスをより適切に管理して最適化することが可能になりました。本書では、常識を覆すような画期的なテクノロジーがどのように精密な故障パターン認識を使い、高精度に装置の故障を数ヶ月も前に予測し、処方的なメンテナンスをガイダンスするかを説明しています。また、５つのベストプラクティス（運用方法）をご紹介し、最先端の信頼性管理による、さらなる生産効率および利益率の改善手法について述べています。

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.

To be a leading 'player' today's specialty chemicals environment, overcoming these challenges is crucial to staying competitive and ensuring the entire supply chain is optimized.

In today’s market, thriving in the mining industry means exploring new strategies for growth in the digital transformation era. Mining executives are seeking leading experts to help mitigate risk and lower cost. The Northern Miner recently sat down with AspenTech to discuss best practices of how a true machine learning solution has the power to transform mining.