A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks

Doege, Patrick; Scherrer, Maike

Publication type:	Conference paper
Type of review:	Peer review (abstract)
Title:	A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks
Authors:	Doege, Patrick Scherrer, Maike
et. al:	No
Proceedings:	Proceedings of the 28th EurOMA Conference
Conference details:	28th International Annual EurOMA Conference, Berlin, Germany (online), 5-7 July 2021
Issue Date:	6-Jul-2021
Publisher / Ed. Institution:	European Operations Management Association
Language:	English
Subjects:	Resilience; Ripple effect; Social network analysis
Subject (DDC):	658.5: Production management
Abstract:	Supply chain network disruptions have become an increasingly relevant topic in literature and industry. Just recently the COVID-19 pandemic demonstrated the need for greater resilience in global supply chain networks. We present a quantitative social network analysis (SNA) approach to selectively fortify nodes in complex supply chain networks targeting ripple-effect mitigation and enhancing supply chain network resilience (SCNR). Our model can be used to analyze supply chain resilience and derive strategies to mitigate disruptions, specifically using betweenness centrality for fortification. The model can be applied by supply chain managers to existing supply chain networks regardless of the underlying network type.
URI:	https://digitalcollection.zhaw.ch/handle/11475/22782
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Sustainable Development (INE)
Appears in collections:	Publikationen School of Engineering

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Doege, P., & Scherrer, M. (2021, July 6). A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks. Proceedings of the 28th EurOMA Conference.

Doege, P. and Scherrer, M. (2021) ‘A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks’, in Proceedings of the 28th EurOMA Conference. European Operations Management Association.

P. Doege and M. Scherrer, “A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks,” in Proceedings of the 28th EurOMA Conference, Jul. 2021.

DOEGE, Patrick und Maike SCHERRER, 2021. A quantitative social network analysis approach to mitigate the ripple effect in supply chain networks. In: Proceedings of the 28th EurOMA Conference. Conference paper. European Operations Management Association. 6 Juli 2021

Doege, Patrick, and Maike Scherrer. 2021. “A Quantitative Social Network Analysis Approach to Mitigate the Ripple Effect in Supply Chain Networks.” Conference paper. In Proceedings of the 28th EurOMA Conference. European Operations Management Association.

Doege, Patrick, and Maike Scherrer. “A Quantitative Social Network Analysis Approach to Mitigate the Ripple Effect in Supply Chain Networks.” Proceedings of the 28th EurOMA Conference, European Operations Management Association, 2021.