Marco Nardello

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Enterprise Architecture for Digital Manufacturing: EA models and an automated EA modelling method to support Industry 4.0 transformation

This thesis serves as a point of departure for researchers that aim to contribute to EA to support the Industry 4.0 transformation. The EA models and method presented in this thesis can be further applied and developed to better model manufacturing products, processes, and resources. In addition, the method presented in this thesis significantly improves the creation of EA models by leveraging data to overcome the challenge associated with manually developing such models. This thesis can also provide guidance for production managers who wish to improve the use of manufacturing data in their enterprises through employing EA models.

How Does Enterprise Architecture Support Innovation?

Innovation is becoming increasingly important for Enterprise Architecture (EA) teams. Consequently, it is crucial that tools be developed to assist Enterprise Architecture teams when evaluating how (and how well) they are supporting innovation within the context of their enterprise. To date very little research has been completed that focuses on both EA and innovation. This paper presents an assessment tool to help EA teams evaluate and improve how they support innovation. The tool has been tested in a case study with a hi-tech firm and initial results are presented. In 2015 International Conference on Enterprise Systems (ES).

Organizational Learning Supported by Reference Architecture Models: Industry 4.0 Laboratory Study

The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is “Smart production”. Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.