Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

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Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

Autonomous /online/realtime Manufacturing Process Optimisation on factory level


Specifics for Project Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

Description Preventive maintenance strategies designed for traditional highly repetitive and stable mass production processes based on predefined components and machine behaviour models are no longer valid and more
Comments This approach will use a method to translate optimization objectives defined at production and factory levels, into optimized maintenance policies at asset/production process levels.
 Z-Bre4k semantic modelling Result description Details on Z-Bre4k ontology, modelling of production assets, products, processes and manufacturing operations.
 Autonomous /online/realtime Manufacturing Process Optimisation on factory level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on factory level Comments This approach will use a method to translate optimization objectives defined at production and factory levels, into optimized maintenance policies at asset/production process levels.
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis