Blog

Supply Chain Agility for a Future That Isn't What It Used to Be

Customers share perspectives on the VUCA supply chain challenges they've been facing and how AspenTech SCM has helped them respond to this unprecedented challenging environment.

Video

Executive Dialogue at COP26 with Leaders from AspenTech and Wood

At the recent COP26 Conference, AspenTech President and CEO Antonio Pietri sat down with Wood Chief Technology Officer Darren Martin to discuss the highlights of the event and the progress made in sustainability across key industries. Highlights of the discussion include: Hurdles companies are facing to achieve their sustainability goals; Technology’s role in reducing emissions; How digitalization is advancing companies’ carbon-reduction strategy; The co-innovation between AspenTech and Wood.

White Paper

Empowering Operators and Frontline Process Engineers with AI-Powered Operational Analytics

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

White Paper

Alignment Between Supply Chain and Operations Execution: The Formula for Higher Profits and Agility

Discover how greater visibility into increasingly complex supply chain networks offers the opportunity to improve decision-making and align supply chain and operations teams daily. With these in place, food and beverage manufacturers can reach unprecedented levels of agility, profitability and customer centricity. Download this paper now to learn how industry leaders are aligning the entire value chain.

White Paper

Making Profitable Digital Strides in Batch Processing: How to See ROI in Months When the Future is Unpredictable

Regardless of what our plans were in January 2020, nothing is the same in 2021 or the future. A digital strategy is no longer limited to a subset of impacted functions, but touches everyone’s goals organization-wide in some way, shape or form.

White Paper

Delivering on the Promise of Prescriptive Maintenance

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.

White Paper

インダストリアルIoTインサイト: Asset Healthスコア

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。

White Paper

Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management

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. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.

White Paper

Use Advanced Simulation to Improve Processes Involving Solids

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

White Paper

低接触式机器学习助力实现资产绩效管理

单独的传统预防型维护无法解决非预期停机问题。凭借低接触式机器学习所驱动的资产绩效管理,现在可能会从数十种程序、资产和维护数据中抽取相关数值,从而优化资产绩效。在本白皮书中,将学习这种插断性技术如何部署精确性故障模式识别,其具有较高的准确性,可以提前预测设备停机月数,并就约定的维护提供相关建议。本白皮书亦列述了驱动先进可靠性管理的五个最佳实践,以期增产提盈。

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