In this ReliabilityTalk Coffee Break, Terrence O’Hanlon and Sean Gregerson from Aveva will discuss the roadblocks for building the business case for predictive maintenance. To assess the right ROI, it is key to understand what impact predictive maintenance could have for your business and how to set priorities accordingly and involve the stakeholders necessary for success.
Do you know which assets are critical to your business success and what data is needed to monitor assets or process anomalies? Learn what factors determine a successful pilot and what is needed to scale rapidly for a quick ROI.
Power plants manage outages multiple times a year. We will review the challenges we faced with the out of the box solution and the reports, custom fields, and new applications we created to manage the outage projects more efficiently and effectively.
It is easy to understand that we should properly maintain electrical equipment, but what is the potential risk associated with inadequate electrical equipment maintenance?
For many businesses, making an operational upgrade can be particularly daunting. However, with the technological revolution and subsequent innovation levels unlikely to cease anytime soon, businesses need to work together to overcome perceived barriers affecting their adoption of Industry 4.0 technologies.
This presentation will provide a framework for mapping operational excellence into the capital projects process and designing for reliability, reviewing operational excellence principles with a view on how to integrate those principles in the design and capital projects process, providing for reliability and availability, ease of operation and ease of maintenance.
Power plants manage outages multiple times a year. We have been managing them using the project ID in Maximo. There have been some challenges to using the out of the box financial control application, and as a result, we have had to create a better way to manage outages in Maximo.
Advanced capabilities such as artificial intelligence (AI) and predictive analytics require trusted and reliable information. Similarly, the need to increase the speed of operation’s decisions rises
