In this changing landscape, many companies are incorporating sustainability targets into their business goals, including safety, asset integrity, emissions management and waste reduction. Digitalization technology can offer polymer manufacturing companies opportunities to gain higher returns and drive new levels of optimization.

What role can digitalization play in production quality and increasing your competitive advantage? By enabling greater visibility into raw materials and process conditions, multivariate analytics software presents a fast track to improving overall product quality.

Understand the full capabilities of ACCE. Calibration will improve bid accuracy by adjusting costs to those mimicing the users. For those that have just started using ACCE or those that want to do Class 3 estimates for both Owner Operator and E&C.

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!

This Chemical Industry Digest article describes how to lower costs through improved productivity during Basic Engineering and FEED.

아스펜테크는 퍼스트 프린시플(first principles), 즉 보존 법칙 기반의 공정 시뮬레이션 모델, 전문 지식(domain expertise)을 인공지능 (AI) 및 분석 알고리즘과 통합하는 방법을 개발했습니다. 이를 통해 완성된 하이브리드 모델링 (hybrid modeling) 솔루션을 활용하여 광범위한 데이터 세트를 분석하는 모델을 생성하는 것은 물론, 고도의 전문지식 없이도 정확한 모델을 신속하게 만들 수 있습니다.

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。

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.

With new insight into the hydraulic performance of trays and packing you can make better decisions for more efficient column design, operation support and troubleshooting. This white paper compares the results of the new functionality to KG-TOWER and Sulcol software, as well as experimental data. 

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.