Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Modeling IT Availability Risks in Smart Factories : a Stochastic Petri Nets Approach

Title data

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. Vol. 62 (2020) Issue 4 . - pp. 323-345.
ISSN 1867-0202
DOI: https://doi.org/10.1007/s12599-019-00610-6

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Smart Factory; Information Network; Information Network Analysis; IT Availability Risks; Petri Nets
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 13 Jun 2019 06:38
Last Modified: 27 Apr 2022 13:18
URI: https://eref.uni-bayreuth.de/id/eprint/49506