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.

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.

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.

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.

Today’s asset intensive organizations face multiple competitive, market and economic related challenges, not the least of them relates to managing the business during a pandemic. This drives the need for new and expanded asset performance capabilities that go beyond traditional maintenance management approaches to include improved access to process data.

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.

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.

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。