Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory

Marco Nardello, Shengnan Han, Charles Møller, John Gøtze


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.


Enterprise Architecture; Automated; Enterprise Modeling; Abstraction Hierarchy; Industry 4.0; AMA4EA

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DOI: 10.7250/csimq.2019-19.03


1. Conceptual foundations and extension of digital twin-based virtual factory to virtual enterprise
Emre Yildiz, Charles Møller, Arne Bilberg
The International Journal of Advanced Manufacturing Technology  vol: 121  issue: 3-4  first page: 2317  year: 2022  
doi: 10.1007/s00170-022-09462-z


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