Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. (from https://en.wikipedia.org/wiki/Data_modeling)


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Description Data across the (multi-sided) company internal value chain is integrated by the IIMS with optimisation and modelling tools for resource management including innovative, multi-level, real-time
  Big data mining and analytics tools I Result title Big data mining and analytics tools I
  Big data mining and analytics tools II Result title Big data mining and analytics tools I
  Process Modelling Representation and Monitoring Framework Result description This deliverable isa report of the result of T3.1 -Process Modelling and Monitoring Framework.
  Digital Factory Model II Result comments System modelling, simulation and forecasting
  Data modelling Taxon title Data modelling Search keywords Data modelling
  Supply chain and value network efficiency Taxon description New appropriate cost modelling techniques are needed to evaluate the future cost of products manufactured either by existing or new technologies, considering future scenarios where market needs, production
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  Key enablers and cross-cutting factors Result description data storage, simulation tools, high performance computing, big data technologies, artificial intelligence, etc… Cross-cutting aspects are described through a comprehensive set of structured
  CELOS DMG: Success stories Result comments DMG MORI presented a machine tool equipped with more than 60 sensors that transmitted digitised information on components from the sensors to the cloud for the purposes of data
  System modelling, simulation and forecasting Taxon title System modelling, simulation and forecasting Search keywords modelling
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Description The advanced analytics and reconfiguration capabilities to be developed in SAFIRE will be based on mastering the big data challenges associated with manufacturing (sensor and process data), enterprise
  Open Data Use Plan Result title Open Data Use Plan Result description Development of a Data Management Plan (DMP) that details what types of data generated by the project will be open, according to 'Guidelines on Data Management in Horizon 2020'.
  SAFIRE Electrolux pilot: Cloud-driven product optimization Result comments Data acquisition Data processing Data modelling Data analytics, processing and AI Cybersecurity Privacy Safety Resilience Standards Connected Products Production engineering of product Production
  Data modelling Taxon title Data modelling Search keywords Data modelling
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  D5.1a Pilot site set up and data collection Result title D5.1a Pilot site set up and data collection Result description D5.1 Pilot site set up and data collection (M15, M27)
  D4.3a AUTOWARE Open CPPS ecosystem development Result comments result_rcn_EC deliverableType_EC Documents, reports Standards IEC 20922 (MQTT) OPC-UA Data acquisition
  Data acquisition Taxon title Data acquisition Search keywords Data
  Business model aspects of digital platform deployment Taxon description Another difference is the central role of data for platforms, meaning that data governance is one of the essential elements of the value proposition of platforms.  
  Standards Comments Automation Industrial Data Space (IDS). Public-subscribe OPC-UA ; OPC-UA rt.
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  Semantic Modelling of Manufacturing Collaboration Assets Result title Semantic Modelling of Manufacturing Collaboration Assets
  Periodic Reporting for period 1 - NIMBLE (Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe) Result description data management from this new perspective.
  Data/object model interoperability - Data exchange formats - APIs Taxon title Data/object model interoperability - Data exchange formats - APIs Search keywords Data Data
  Architecture Comments Once data has reached the platform, data are stored for future uses such as offline analytics and auditing.
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  Periodic Reporting for period 1 - Daedalus (Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS) Result description data-information towards a predictive model for manufacturing; real-time data collection, analysis, decision, enforcement; optimisation in complex system of systems infrastructures; etc.
  Data processing Taxon title Data processing
  Business model aspects of digital platform deployment Taxon description Another difference is the central role of data for platforms, meaning that data governance is one of the essential elements of the value proposition of platforms.  
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Description The data collected is analysed to detect complex events that trigger automated actions.
  D4.2: DATA ANALYTICS TOOLKIT Result title D4.2: DATA ANALYTICS TOOLKIT
  D2.3: The DISRUPT Platform Integration Plan Result description The plan for the DISRUPT integration is driven by the data and thus it is specified the data-driven integration plan, in which both data semantics and data synchronization are fundamental in the correct
  D3.1: DESIGN OF DECISION SUPPORT TOOLKIT Result comments System modelling, simulation and forecasting
  Data communication and interoperability Taxon title Data communication and interoperability Search keywords Data
  Business model aspects of digital platform deployment Taxon description Another difference is the central role of data for platforms, meaning that data governance is one of the essential elements of the value proposition of platforms.  
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Description The platform will provide seamless connectivity to the automation solutions, smart objects, and real-time data sources across the network.
  D5.8: Data access API & Reference data store (Final Release) Result title D5.8: Data access API & Reference data store (Final Release) Result description to real-time automation data within the manufacturing facilities coming from sensors, controllers (e.g., PLCs), position encoders etc.
  D6.2: Knowledge Protection Specification Result comments Data ownership - data governance Dynamic IT connections to new supply chain partners
  Data ownership - data governance Taxon title Data ownership - data governance
  Supply chain and value network efficiency Taxon description New appropriate cost modelling techniques are needed to evaluate the future cost of products manufactured either by existing or new technologies, considering future scenarios where market needs, production
  Data Liability Search keywords Data
  Semantic/information interoperability Comments In order to facilitate the flow of data to and from the middleware, the project will develop Data (harmonisation and transformation) Maps.
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Description Software Development Kit (OAK) for Factories of the Future that aims to be the reference system software for collaborative manufacturing and logistics processes including its associated resources and data
  vfOS - ID5.4a - Data Analytics(M18) Result title vfOS - ID5.4a - Data Analytics(M18)
  vfOS - ID5.2a - Data Storage(M18) Result description when dealing with intensive streaming data, namely: Volume (scale of data processed), Velocity (speed of moving data and optimised reaction time), and Variety (supporting heterogeneous types to data under
  vfOS - ID5.1a - Data Infrastructure Middleware(M18) Result comments result_rcn_EC deliverableType_EC Other Data acquisition Data storage Data processing
  Data storage Taxon title Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium. Search keywords Data
  Standards Comments publish-subscribe middleware will provide the data infrastructure and will be fully compatible with major industry standards (i.e.
  Integration level interoperability Comments publish-subscribe middleware will provide the data infrastructure and will be fully compatible with major industry standards (i.e.
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Description The Project results will be: the C2NET Data Collection Framework for IoT-based continuous data collection from supply network resources; the C2NET Optimizer for the optimization of manufacturing
  1st Data collection from real-world resources Result title 1st Data collection from real-world resources
  Selected legacy systems / interfaces that will be supported by the interoperability framework Result description This report will describe the existing standards/legacy interfaces for communication, data collection and exchange formats, data base etc. that will be supported allowing to ensure interoperability to

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