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Development of Dynamic Key Figures for the Identification of Critical Components in Smart Factory Information Networks

Title data

Häckel, Björn ; Miehle, Daniel ; Pfosser, Stefan ; Übelhör, Jochen:
Development of Dynamic Key Figures for the Identification of Critical Components in Smart Factory Information Networks.
2017
Event: 25th European Conference on Information Systems (ECIS) , 05.-10.06.2017 , Guimarães, Portugal.
(Conference item: Conference , Speech )

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IT-gestütztes FinanzmanagementNo information

Abstract in another language

Informational risks in smart factories arise from the growing interconnection of its components, the increasing importance of real-time accessibility and exchange of information, and highly dynamic and complex information networks. Thereby, physical production more and more depends on functioning information networks due to increasing informational dependencies. Accordingly, the operational capability of smart factories and their ability to create economic value heavily depend on its information network. Thus, information networks of smart factories have to be evaluated regarding informational risks as a first prerequisite for subsequent steps regarding the management of a smart factory. In this paper, we focus on the identification of critical componentsin information networks based on key figures that quantitatively depict the availability of the information network. To enable analyses regarding dynamic effects, the developed key figures cover dynamic propagation and recovery effects. To demonstrate
their applicability, we investigate two possible threat scenarios in an exemplary information network.
Further, we integrated the insights of two expert interviews of two global companies in the automation and packaging industry. The results indicate that the developed key figures offer a promising approach to better analyse and understand informational risks in smart factory information networks.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Smart Factory; Information Network; Informational Risk; Dynamic Key Figures
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: 22 Dec 2017 07:11
Last Modified: 07 May 2018 12:26
URI: https://eref.uni-bayreuth.de/id/eprint/41074