Business Model Predictive Plant Maintenance

Development of a data-driven and condition-based maintenance process, which is worth over €5 million.   Annual savings potential identified

More efficient maintenance shows savings potential of €5 million annual

The prototypical application creates transparency about historical Maintenance

Data strategy and platform architecture for AI


A DAX-listed energy supplier would like to have a data-suitable IT and business architecture. Furthermore, maintenance costs are to be of its systems and exemplified by the component LuVo (air preheater) the feasibility can be demonstrated


In the [at] Architecture and Roadmap Workshop, the technology and data basis is determined. This is followed by the exploration of the existing data sources and reviewing identified Requirements. A holistic process and data view of the IT and PDV systems developed. A data generating  Maintenance process is designed and the business case developed. 


The architecture and data strategy depends on the concrete needs of the use-Case requirements derived. A prototypical Predictive Maintenance App for planning and an interactive process click-Dummy are created. A requirements analysis including a business case for data collection is also available. 

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