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

Walls, L. and Quigley, J. and Parsa, M. and Comrie, E.; Walls, Lesley and Revie, Matthew and Bedford, Tim, eds. (2016) Risk analysis of supply : comparative performance and short-term prediction. In: Risk, Reliability and Safety. CRC/Taylor & Francis Group, GBR. ISBN 9781315374987

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Abstract

Managing risk in the supply of inbound parts for the assembly of complex engineering systems is a key activity for manufacturing companies to avoid production delays and disruption. We present novel analysis of empirical data typically available in enterprise resource planning systems. The information generated through such analysis can provide useful information to support decisions to better manage supply risk. For example, identifying suppliers at risk of poor performance under different loadings or relative to peers, and assessing the financial value of investing in learning and developing suppliers. Our analysis is based on new methods developed for robust ranking, valuation of due diligence as well as more established regression modelling principles. We focus upon the ways our methods can be used to support supply risk decisions by showing how they have been applied in an industry case and the implications of our findings to date.

  • Item type:Book Section
    ID code:58759
    Dates:
    Date
    Event
    13 September 2016
    Published
    25 May 2016
    Accepted
    Notes:"This is an Accepted Manuscript of a book chapter published by Routledge in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) on 12/9/2016, available online: https://www.crcpress.com/Risk-Reliability-and-Safety-Innovating-Theory-and-Practice-Proceedings/Walls-Revie-Bedford/p/book/9781138029972.
    Subjects:Social Sciences > Industries. Land use. Labor
    Department:Strathclyde Business School > Management Science
    Depositing user: Pure Administrator
    Date deposited:21 Nov 2016 14:29
    Last modified:08 Apr 2024 13:34
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/58759
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