Automated Creation and Provisioning of Decision Information Packages for the Smart Factory
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human a...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2018-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
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| Online Access: | https://csimq-journals.rtu.lv/article/view/2225 |
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| _version_ | 1832542938484178944 |
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| author | Eva Hoos Pascal Hirmer Bernhard Mitschang |
| author_facet | Eva Hoos Pascal Hirmer Bernhard Mitschang |
| author_sort | Eva Hoos |
| collection | DOAJ |
| description | In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this article, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario. This article is a revised and selected version of the previous work. |
| format | Article |
| id | doaj-art-078ed4dbb97241b5aca052a063919cbb |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2018-07-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-078ed4dbb97241b5aca052a063919cbb2025-02-03T12:03:20ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222018-07-01015728910.7250/csimq.2018-15.041178Automated Creation and Provisioning of Decision Information Packages for the Smart FactoryEva Hoos0Pascal Hirmer1Bernhard Mitschang2Institute of Parallel and Distributed Systems, University of Stuttgart, 70569 Stuttgart, and Graduate School of Excellence Advanced Manufacturing Engineering, University of Stuttgart, 70569 StuttgartInstitute of Parallel and Distributed Systems, University of Stuttgart, 70569 StuttgartInstitute of Parallel and Distributed Systems, University of Stuttgart, 70569 Stuttgart, and Graduate School of Excellence Advanced Manufacturing Engineering, University of Stuttgart, 70569 StuttgartIn recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this article, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario. This article is a revised and selected version of the previous work.https://csimq-journals.rtu.lv/article/view/2225Industry 4.0Context-awarenessData Provisioning |
| spellingShingle | Eva Hoos Pascal Hirmer Bernhard Mitschang Automated Creation and Provisioning of Decision Information Packages for the Smart Factory Complex Systems Informatics and Modeling Quarterly Industry 4.0 Context-awareness Data Provisioning |
| title | Automated Creation and Provisioning of Decision Information Packages for the Smart Factory |
| title_full | Automated Creation and Provisioning of Decision Information Packages for the Smart Factory |
| title_fullStr | Automated Creation and Provisioning of Decision Information Packages for the Smart Factory |
| title_full_unstemmed | Automated Creation and Provisioning of Decision Information Packages for the Smart Factory |
| title_short | Automated Creation and Provisioning of Decision Information Packages for the Smart Factory |
| title_sort | automated creation and provisioning of decision information packages for the smart factory |
| topic | Industry 4.0 Context-awareness Data Provisioning |
| url | https://csimq-journals.rtu.lv/article/view/2225 |
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