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Description To achieve this, one obvious approach is to port successful concepts from the field of Everything-as-a-Service (XaaS) and Cloud computing to manufacturing to mirror agile collaboration through flexible
Comments system levels Enterprise - Factory Manufacturing system levels Manufacturing system levels Connected Enterprises - Factories Manufacturing system levels Manufacturing system levels Connecting factories from
 Automotive Use Case Result description Valuable efficiency and machine status data from the production processes coupled with data from legacy systems and positional data from key production assets will provide greater insight into the plant
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Description Industry-relevant demonstration will be developed in the project as an important element for results validation using real-world cases from SMEs.
Comments ) TEAM - Other Success Factors Consortium, project team and general project management (TEAM) Demonstration and upscaling (UPSCALE) Success Factors UPSCALE - Understand and agree on the milestones from
 Machine Availability Monitoring Module Result description Toward that end, the “Machine Availability Monitoring” service-oriented Cloud-based software framework, at first, gathers data from shop-floor machine tools through sensors, input from operators, and machine
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Comments In simple terms, this means that data from various sources can be easily harmonised.
 I-Like Machines and data value. How to receive and to use data from machines? Result title How to receive and to use data from machines?
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result description These projects were active from 2017 to 2021 and together constituted the ForeSee cluster.
 Semantic/information interoperability Comments In simple terms, this means that data from various sources can be easily harmonised.