In asset-intensive industries, a single failure of a critical, costly piece of equipment can result in millions of dollars in production losses. In a new report, ARC Advisory Group's Steve Banker describes how optimized production scheduling based on an integrated digital twin maintenance model enables these companies to convert unplanned downtime into less expensive, scheduled maintenance.

A recent ARC Advisory Group survey of 365 industry practitioners revealed that two-thirds of respondents believe reliability-centered maintenance (RCM) isn’t improving reliability, and that operations has as much impact on plant asset performance as the maintenance organization.

Disruptive technologies such as artificial intelligence and machine learning are driving new asset optimization opportunities across the process industries. In this new report, ARC Advisory Group analyst Peter Reynolds describes how AspenTech is enabling greater asset performance by putting these important tools in the hands of people who actually design, operate, and maintain plants. Learn how AspenTech is changing the industry paradigm by focusing on industry-specific IIoT applications that deliver the most value.

ARC Advisory Group conducted research to gain a better understanding of the current state of sustainability and “green initiatives” in the chemical and energy industries. Research showed that:

在2018年，艾斯本在中国举办了第二次的大型客户会议。下载了解ARC对2018年的中国优化峰会的意见及检讨。

The evolution of IIoT and advanced analytics technologies is transforming how industrial companies of all sizes manage their critical assets. In this report, ARC Advisory Group describes how AspenTech Asset Performance Management delivers prescriptive maintenance solutions to process and other capital-intensive industries.

Pharma and biotech companies face a pivotal next step in addressing the increased complexity of production while balancing mounting cost pressures with the need to ensure product quality, security of supply and regulatory compliance. Findings from AspenTech® and Longitude’s recent market survey revealed that digital culture and technology adoption provide a competitive edge – but adoption is slow.

This ARC Advisory Group report explains how AIoT is built for industrial companies looking for better ways to:

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. Machine learning is used to create the model, leveraging simulation or plant data while using domain knowledge, including first principles and engineering constraints to build an enriched model without the need for modeling or AI expertise.

Descargue este documento para conocer más sobre las preguntas más frecuentes sobre las Soluciones de Gestión de Desempeño de Activos (APM) de AspenTech. Conozca cómo Aspen Mtell®, Aspen ProMV™ y Aspen Fidelis Reliability™ le ayudan a mejorar la confiabilidad, sustentabilidad y rentabilidad.