Risk analysis of supply: Comparative performance and short-term prediction

L. Walls, J. Quigley, M. Parsa, E. Comrie

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    Abstract

    Our paper describes how we can use the empirical data about supplier characteristics and performance records typically held in enterprise resource systems to better understand and predict aspects of supplier risk. These data have been primarily recorded by the manufacturing companies to schedule production and manage operations. We show how such data might also be exploited to provide information to better manage risk in the supply process.

    Original languageEnglish
    Title of host publicationRisk, Reliability and Safety: Innovating Theory and Practice
    Subtitle of host publicationProceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016)
    EditorsLesley Walls, Matthew Revie, Tim Bedford
    PublisherCRC Press/Balkema
    Pages347-354
    Number of pages8
    ISBN (Electronic)9781498788984
    ISBN (Print)9781138029972
    DOIs
    Publication statusPublished - 2017
    Event26th European Safety and Reliability Conference, ESREL 2016 - Glasgow, United Kingdom
    Duration: 25 Sep 201629 Sep 2016

    Conference

    Conference26th European Safety and Reliability Conference, ESREL 2016
    CountryUnited Kingdom
    CityGlasgow
    Period25/09/1629/09/16

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