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Miehle, Daniel ; Häckel, Björn ; Pfosser, Stefan ; Übelhör, Jochen:
Modeling IT Availability Risks in Smart Factories : a Stochastic Petri Nets Approach.
In: Business & Information Systems Engineering.
Bd. 62
(2020)
Heft 4
.
- S. 323-345.
ISSN 1867-0202
DOI: https://doi.org/10.1007/s12599-019-00610-6
Abstract
In the course of the ongoing digitalization of production, industrial production infrastructures have become increasingly intertwined with information and communication technology. There-by, physical production processes depend more and more on the flawless functioning of infor-mation networks. Threats, such as attacks and errors, can compromise the components of in-formation networks, and due to the increasing interconnection, can even cause entire smart factories to fail. However, increasing complexity and lack of transparency of information net-works in smart factories complicate the detection and analysis of such threats. Following a De-sign Science Research approach, this study aims to develop a methodology to depict and to model information networks in smart factories to enable the identification and analysis of IT availability risks. Based on a modular stochastic Petri net approach, we provide an artifact that enables the simulation and analysis of threats in smart factory information networks. To demon-strate the applicability and feasibility of our approach, we investigate different threat scenarios regarding their impacts on the operational capability of a close-to-reality information network setting. Further, to complement the evaluation from a practical perspective, we integrated the insights from two expert interviews with two global leading companies in the automation and packaging industry. The results indicate that the developed artifact offers a promising approach to better analyze and understand IT availability risks in smart factory information networks.