Case Study

MOL Group Drives Digitalization in Partnership with AspenTech®

In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.

Case Study

OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs

In this case study, discover how OCP Ecuador used prescriptive maintenance to accurately identify asset failure and reduce maintenance costs. With three times the initial investment returned in less than five months, OCP Ecuador is planning to scale Aspen Mtell® to protect 13 additional assets in the near future - and to scale across the enterprise in the coming years.

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.

On Demand Webinar

Webinar with Plant Services: How Autonomous Agents are Revolutionizing Conventional FMEA

For reliability engineers, Failure Modes and Effects Analysis (FMEA) is a step-by-step process for identifying and tracking the various ways an asset or equipment can fail. But despite its merits, FMEA is labor intensive, typically used only for critical equipment and does not sufficiently use data to improve its capability.

On Demand Webinar

Improving Profitability Using Operational Analytics featuring ADM

This on-demand webinar focuses on how the Aspen ProMV™ operational analytics suite provided a time-efficient and cost-effective solution for ADM in solving their most critical manufacturing process challenges by quickly learning from their process data.

Report

Compass to APM 4.0: From Maintenance and Reliability to Performance and Sustainability

The priorities of industrial manufacturers are changing. While minimizing asset downtime and maximizing production and quality remain important, sustainability and operational initiatives are becoming intricate parts of a company’s strategic objectives. Increasingly, they are relying on asset performance management (APM) software to meet the challenges of volatile market demands and supply chain disruptions and optimize overall asset performance.

On Demand Webinar

2022 AspenTech 资产绩效管理网络专题研讨会

请您观看资产绩效管理网络专题研讨会回放。了解AI,机器学习技术以及可靠性分析在流程工业中的应用,以及大数据技术可以为流程工业带来什么样的影响,从案例中获得了解如何利用最新的技术实现本企业的效益提升的机会。 最近数年中,新型的数字化技术和产品琳琅满目,对于不同技术之间的区别和其能够带来的效果,企业往往会陷入选择的难题。在本次研讨会中,您将更多的了解不同技术的应用范围,以为您的决策做好基础。

Blog

AspenTech Celebrates Pride 2022

At AspenTech we are committed to listening and amplifying voices in the LGBTQ+ community. Read a short list of how we all can elevate our allyship

Article

Article by Oil Review: Meeting Business Goals with Autonomous Agents

In today’s VUCA (volatile, uncertain, complex and ambiguous) marketplace, it is important for manufacturers to identify and understand the impact of impeding disruptions and minimize safety, while at the same time meeting their profit objectives. In this Oil Review-Middle East article, AspenTech APM Sr. Director Mike Brooks explains how Autonomous Agents can help a plant identify unexpected events and processes that are out of the norm.

e-book

Enter the Era of Autonomy with the Self-Optimizing Plant

Start your journey to the self-optimizing plant and view this interactive e-book that highlights how your assets can be safer, more reliable, more flexible and more profitable.

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