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Zero-defect manufacturing strategies towards on-line production management for European factories

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Zero-defect manufacturing strategies towards on-line production management for European factories

Data/object model interoperability - Data exchange formats - APIs

Specifics for Project Z-Fact0r | Zero-defect manufacturing strategies towards on-line production management for European factories

ICT performance characteristics Project specific Kanban ICT performance characteristics Data communication and interoperability Taxon page Project specific Kanban Comment: Data communication between components is essential for the project. End users create data on their shop floor with embedded sensors on the machines, new integrated sensors developed for the project. All these data is propagated in the system with data communication protocols, such as HTTP and AMQP, creating a data stream process in the system. Interoperability between the data communication protocolos and brockers is crucial for a successful result of the data communication of the system. Various data sources work together and use different communication protocols. As a result, all these components and protocols should seamlessly work and their interoperability is what helps them. A message brocker was developed for the project, based on AMQP for data communication. In the initial phases of the project, there were also RESTful APIs that helped in the initial development of the components. Integration level interoperability Taxon page Project specific Kanban Comment: The Incremental Integration Strategy (IIS) provides a unified framework for all the EU distributed partners, to work on common principles. By following the IIS, we try to ensure that the integration will be successfully executed in a timely manner. It defines a number of factors to monitor and steps to execute. The IIS manifests that the components are integrated and tested incrementally and tested to ensure smooth interaction among them. Every component is combined incrementally, i.e., one by one till all components are integrated logically to make the required application, instead of integrating the whole system at once and then performing testing on the end product. Integrated components are tested as a group to ensure successful integration and data flow between components. The process is repeated until all components are combined and tested successfully. The tests included in the IIS are: Load test Stress test Spike test Endurance test Scalability test Volume test Data/object model interoperability - Data exchange formats - APIs Taxon page Comment: The data exchange format throughout the project's components was JSON. JSON lightweight, easy for humans to read and write it and provides all relevant information in a formatted way. It is also easy to change to include further fields when necessary or to be restructured for other components. XML was also used as data exchange format. XML also has the same characteristics with JSON in regards to easiness and accessibility. An example of one of the JSON formats used the project is given below to describe the prediction outputs: {"holRepoId":3621,"eventDate":1545061853990,"eventDateString":"1545061853990","asset":"Tresky machine","predictedGlueVolume":0.267988,"likelihoodOfDefect":0.0,"defectTypeString":"","insertDate":1583762688099}

01-10-2016

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31-03-2020

Calltopic: FoF.2016.03

Comments Data/object model interoperability - Data exchange formats - APIs ICT performance characteristics Integration level interoperability Data communication and interoperability The data exchange
Data Management Plan (DMP) Result title Data Management Plan (DMP) Result description The plan will describe ways to manage all research data, and metadata, during and after the project duration.
Data/object model interoperability - Data exchange formats - APIs Taxon title Data/object model interoperability - Data exchange formats - APIs
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.