The Challenge
- Our client was aware of the beneficial impact of novel AI approaches on his products.
- At the same time, the relevance for the own products was not well known.
- No business case was known.
The Approach
- Turbines can only produce benefit if they are running at full peak.
- Machine availability and efficiency is of high importance and can be optimized using machine learning algorithm with data for ML.
- AI use cases were identified with focus on improving machine reliability and efficiency as well as its lifetime.
- An implementation plan for selected use cases and the corresponding business cases were elaborated.
Result & Added Value
- Machine availability and efficiency is of high importance and can be optimized based on available data
- Ten business use cases described to improve:
- machine efficiency
- reliability
- quality
- An implementation plan for selected use cases and the corresponding business cases were elaborated to allow a well-founded management decision about implementation of use cases.
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