Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory
The transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Architecture (EA) provides limited knowledge on...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2019-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
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| Online Access: | https://csimq-journals.rtu.lv/article/view/2949 |
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| _version_ | 1850234004346765312 |
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| author | Marco Nardello Shengnan Han Charles Møller John Gøtze |
| author_facet | Marco Nardello Shengnan Han Charles Møller John Gøtze |
| author_sort | Marco Nardello |
| collection | DOAJ |
| description | The transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Architecture (EA) provides limited knowledge on addressing this challenge. In this article, the Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA) method is proposed and demonstrated. An abstraction hierarchy is introduced by AMA4EA to support companies to automatically abstract data from enterprise systems to concepts, then to automatically create an EA model. AMA4EA was demonstrated at an Industry 4.0 laboratory. The demonstration showed that AMA4EA could abstract detailed data from the Enterprise Resource Planning (ERP) system and Manufacturing Execution System (MES) to be relevant for a business process model that provided a useful and simplified visualization of production process data. The model communicated the detailed business data in an easily understandable way to stakeholders. AMA4EA is an innovative and novel method that contributes new knowledge to EA research. The demonstration provides sufficient evidence that AMA4EA is useful and applicable in the Industry 4.0 environment. |
| format | Article |
| id | doaj-art-cc655f6fe3db4f3f8a9c6b02e7da0673 |
| institution | OA Journals |
| issn | 2255-9922 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-cc655f6fe3db4f3f8a9c6b02e7da06732025-08-20T02:02:44ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222019-07-01019425910.7250/csimq.2019-19.031635Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 LaboratoryMarco Nardello0Shengnan Han1Charles Møller2John Gøtze3Aalborg University, Department of Materials and Production, Fibigerstræde 16, DK-9220 Aalborg EastStockholm University, Department of Computer and Systems Sciences, Borgarfjordsgatan 12, 164 07 KistaAalborg University, Department of Materials and Production, Fibigerstræde 16, DK-9220 Aalborg EastIT University of Copenhagen, Rued Langgaards Vej 7, DK-2300 Copenhagen and QualiWare aps, Ryttermarken 15, 3520 FarumThe transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Architecture (EA) provides limited knowledge on addressing this challenge. In this article, the Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA) method is proposed and demonstrated. An abstraction hierarchy is introduced by AMA4EA to support companies to automatically abstract data from enterprise systems to concepts, then to automatically create an EA model. AMA4EA was demonstrated at an Industry 4.0 laboratory. The demonstration showed that AMA4EA could abstract detailed data from the Enterprise Resource Planning (ERP) system and Manufacturing Execution System (MES) to be relevant for a business process model that provided a useful and simplified visualization of production process data. The model communicated the detailed business data in an easily understandable way to stakeholders. AMA4EA is an innovative and novel method that contributes new knowledge to EA research. The demonstration provides sufficient evidence that AMA4EA is useful and applicable in the Industry 4.0 environment.https://csimq-journals.rtu.lv/article/view/2949Enterprise ArchitectureAutomatedEnterprise ModelingAbstraction HierarchyIndustry 4.0AMA4EA |
| spellingShingle | Marco Nardello Shengnan Han Charles Møller John Gøtze Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory Complex Systems Informatics and Modeling Quarterly Enterprise Architecture Automated Enterprise Modeling Abstraction Hierarchy Industry 4.0 AMA4EA |
| title | Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory |
| title_full | Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory |
| title_fullStr | Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory |
| title_full_unstemmed | Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory |
| title_short | Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory |
| title_sort | automated modeling with abstraction for enterprise architecture ama4ea business process model automation in an industry 4 0 laboratory |
| topic | Enterprise Architecture Automated Enterprise Modeling Abstraction Hierarchy Industry 4.0 AMA4EA |
| url | https://csimq-journals.rtu.lv/article/view/2949 |
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