What is the probability that an asset will deliver the expected performance and what decisions do we have to make and what actions do we have to undertake in order to reduce any risks that could jeopardise our operations and results?
Stork and UREASON answer this question for you with APM 4.0
Stork is a highly renowned asset integrity partner with a solid reputation dating back years in the management and maintenance of critical and complex technical installations. UREASON is an expert in real-time data analysis and expert systems. Teaming up Stork’s Asset Management consultants and maintenance engineers with the tools and data scientists from UREASON has created a host of new possibilities in this field.
Does Data Driven Maintenance identify equired maintenance?
Identification is based on predictive models that have been trained on datasets that capture:
Assets failure modes
Maintenance is a given, determining the best moment the essence.
How is unstructured raw data converted into valuable information?
The benefits of Predictive Maintenance
Reduces size and scale of repairs
Reduces number of repairs
Increases asset useful lifetime
Increases quality of output
Lowers overall maintenance costs through better use of labour and materials
The APM 4.0 Service Propositions
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