It's well-known that the primary costs and losses in processing industries come from sudden failures of equipment. But, why is everyone looking for a digital solution for more precise failure forecasting?
Cascades is an organization of more than 70 plants in the pulp and paper industry. Before implementing a holistic condition monitoring program, every plant had different condition monitoring equipment.
This presentation will focus on how to move your organization to asset condition monitoring 4.0 without losing the value of strategic discussions while focusing on the enhancement of data collection and analysis.
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Implementing digital twins is becoming a strategic necessity for many industrial companies. In this session, learn the basics of how digital twin models should be built, how to scale and implement these models on assets and systems to create a twin, and discover best practices for how to leverage these twins operationally to predict, diagnose and forecast performance degradation as a part of your reliability work processes.
Whether you are entering the world of Maximo Application Suite (MAS) as a new customer or migrating as an existing Maximo customer, it is a project that will be beneficial from a strategy to a plan.
Being part of an O&M organization means not only dealing with the day-to-day asset maintenance but planning for the recapitalizations and enhancements that will keep the capabilities of the facility current for years to come.
Asset management is the coordinated activities of an organization to realize value from assets. Guidance in asset management can be found in the ISO 5500X series of international standards.
If you simply search the term, “digital twin”, you will see all kinds of references to 3D modeling, virtualization, augmented reality, machine learning analytics or artificial intelligence.
"In this article, Eric provides crystal clarity for those organizations that are on the digital transformation journey by sharing real-world examples from real-world companies that produced tangible business results.”
The automation of data collection not only reduces the time and labor required to acquire the data, but it also can increase the frequency intervals between data collections, provide wider equipment coverage, reduce personnel exposure to hazardous areas, and facilitate remote working environments.
The thoughts on digital transformation have missed an important consideration: the delineation of the strategy required to materialize the benefits promised by the technological revolutionary era called digitalization.