Report

AI-Driven Enhancements for Optimal Asset Performance

A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.

Report

AspenTech 2022/2023 Environmental, Social and Governance Report

For over 40 years, AspenTech has applied advanced technology to address the critical challenges faced by industry and society. Now, our focus is also on leading in sustainability solutions and partnering with asset-intensive industries to make the sustainability future a reality.

Report

ARC Insights Report: Digital Capabilities to Advance the Circular Economy

This report addresses how industry leaders in the chemical and petro-chemical industries are leveraging digital technology as a key component of the transition to a circular model of production and consumption and as part of an overall path to sustainability of operations. Based on ARC research and analysis, this report also provides recommended action for owner-operators and other technology users.

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.

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Plant Services Special Report: How Machine Learning is Revolutionizing FMEA

A revamp is underway of a widely revered strategy to avoid or mitigate industrial equipment failures. The failure modes and effects analysis (FMEA) is a core Six Sigma tool for improving processes and products. Recent technology advancements are breathing new life into this longtime, largely unchanged best practice.

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Alliance in Action Progress Report 2021

Over the past three years, the Alliance to End Plastic Waste has rallied over 90 member companies, allies and supporters who are committed to ending plastic waste in the environment and creating circularity. AspenTech is proud to be one of those members and to have the opportunity to work with some of the world’s leading companies to create and scale innovative solutions for this cause.

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可持续发展、脱碳和行业举措调查结果和分析

本报告由普林斯顿大学名誉教授罗伯特·索科洛(Robert Socolow)共同撰写,阐述了最近一项调查的结果,该调查旨在更好地了解行业领导者在规划可持续未来时所采取的战略和行动。

Report

Sustainability, Decarbonization and Industry Initiatives: Survey Findings and Analysis

This report, which was co-written with Robert Socolow, Professor Emeritus, Princeton University, addresses the findings of a recent survey conducted to better understand the strategies and actions taken by industry leaders as they plan for a sustainable future.

Report

Verdantix Buyer’s Guide: Asset Performance Management Software

Demand for asset performance management (APM) solutions is on the rise as industrial organizations are seeking to increase profit margins while improving the reliability and safety of their operations. This report from independent research firm Verdantix provides executives with an up-to-date analysis of 27 prominent APM solutions on the market. Register now to download your free copy.

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ARC Insights: Escalando la Gestión del Desempeño de Activos a nivel empresarial

ARC descubrió que el 17% de los encuestados no logran escalar APM en diferentes activos de la misma planta, independientemente de los recursos. Un asombroso 53% de los encuestados también indicó que sus implementaciones de APM eran capaz de ser escaladas, pero no sin un enorme esfuerzo y demanda de recursos. Aprenda más de los resultados de la la encuesta de escalabilidad de ARC en este reporte.

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