More effective maintenance with the right priorities thanks to prescriptive analytics and intuitive dashboards
Modern maintenance practices call for a focus on assets that need immediate attention as well as a more efficient use of limited resources. A preventive approach based on routine inspections no longer fits the growing number of smart instruments, valves and rotating machines in the industrial environment.
The latest generation of asset management software platforms supports early prioritization based on prescriptive analytics and intuitive dashboards. By acting more effectively, asset availability increases and with the help of advanced EDGE analytics, production objectives can be achieved more easily and without the intervention of an expert. Based on some practical user cases, the direct and indirect benefits are explained more detailed as well as insight will be given into the future vision of these users.
Challenges addressed
The biggest challenge is the lack of resources and the increasing difficulty of recruiting talented employees. This in combination with an increasing amount of data that needs to be processed, whereby it is not always possible to convert all data into usable information and targeted maintenance actions. Companies depend on external parties, which means that they do not own the data and that bundling monitoring data with process data from DCS sytems can only be limited to a minimum. The train of Industry 4.0 is missed and it is a challenge to transform the philosophy so that budgets can be made available for obtaining a broad platform of data and intuitive dashboards.
Learning Objectives
- How are other industrial companies moving from reactive to prescriptive maintenance?
- How do you bundle the different sources of data and convert it into a usable dashboard?
- How does Edge Analytics ensure that expert services should only be used for troubleshooting?
About the speaker
Sabine Spapen is Business Development Manager Reliability Solutions at Emerson.
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