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.

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。

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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.

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.

Discover how predictive maintenance and planned downtime can deliver positive results for your company when it comes to Safety, Sustainability and Productivity.

In production environments, changing conditions means increased risk. Operating companies have been shouldering more of this risk in recent years as insurance coverage becomes less readily available.

Find out how a new generation of technologies is creating opportunities within the process industries that were previously impossible.

Get key insights from a 2019 ARC Advisory Group survey on asset performance management (APM) and learn what is most important to industry leaders implementing APM at their organizations.

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.