Bagging grey swans: A supply network approach to identifying and managing low-probability high-impact supply chain events

Christian Rossetti, Henk Akkermans, Vikram Bhakoo, Steven Carnovale

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Over the past decade practitioners and researchers have become increasingly focused on managing risks in extended supply chains. Whether these risks involve supply disruptions, financial liabilities for a supplier’s actions, or large market shifts; Grey Swan events, defined as unforeseen low-probability high-impact events, have the capacity to severely damage or create opportunities for a firm as well as its trading partners. Using two network parameters, density and centralization, and four examples we develop a typology to help SC managers identify grey swan events and then position a firm in the network for survival and possibly new opportunities.
Original languageEnglish
Title of host publicationProceedings of the 23rd EurOMA Conference (EurOMA 2016)
Place of PublicationTrondheim, Norway
Pages1-8
Number of pages8
Publication statusPublished - Jun 2016
Event23rd EurOMA conference - Norwegian University of Science and Technology , Trondheim, Norway
Duration: 17 Jun 201622 Jun 2016

Conference

Conference23rd EurOMA conference
Abbreviated titleEurOMA 2016
CountryNorway
CityTrondheim
Period17/06/1622/06/16

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