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Supply Chain Network Risk Analysis : A Privacy Preserving Approach

Title data

Fridgen, Gilbert ; Zare Garizy, Tirazheh:
Supply Chain Network Risk Analysis : A Privacy Preserving Approach.
In: ECIS 2015 proceedings. - Münster , 2015 . - Eintrag Completed Research Papers CR 49
DOI: https://doi.org/10.18151/7217316

Abstract in another language

Globalization and outsourcing are two main factors which are leading to higher complexity of supply chain networks. Today’s complex distributed supply chain networks are vulnerable to various kinds of risks. Due to the strategic importance of having a sustainable network it is necessary to have an enhanced supply chain network risk management. The first step in the risk management is risk identification. In a supply chain network many firms depend directly or indirectly on a specific supplier. Any failure in a supplier’s production can risk the whole network’s robustness. In this regard, unknown risks of network’s structure can endanger the whole network’s robustness. In spite of the importance of risk identification of supply chain network, companies are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. Combining the secure multiparty computation cryptography methods with risk identification algorithms driven from social network analysis, is the solution of this paper for this challenge. With this combination we enable structural risk identification of supply chain networks without endangering companies’ competitive advantage.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Supply Chain Network; Risk Management; Multiparty Computation; Algorithms; Privacy
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
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: 08 May 2015 05:49
Last Modified: 20 Dec 2018 10:41
URI: https://eref.uni-bayreuth.de/id/eprint/13105