A novel application of system survival signature in supply chain risk management

Qazi, Abroon and Quigley, John and Dickson, Alex; (2015) A novel application of system survival signature in supply chain risk management. In: Proceedings of the 2015 Internati onal Conference on Industrial Engin eering and Operations Management Dubai, United Arab Emirates (UAE), March 3 – 5, 2015. Institute of Electrical and Electronics Engineers Inc., ARE. ISBN 9781479960651 (https://doi.org/10.1109/IEOM.2015.7093771)

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Abstract

Supply chains have become complex because of the globalization and outsourcing, and the lack of visibility across the entire network makes it difficult to manage the risks. The concept of 'System survival signature' has recently been developed for capturing the network configuration of a system comprising different types of components. Its utilization in the evaluation of system reliability is unique in terms of its capability of segregating the network signature from the probability distribution of failure time of components. We introduce this concept in the realm of supply chain risk management. This novel application can be helpful in evaluating supply network reliability through gauging two distinct features of network configuration and risk profiles of the suppliers. The application is illustrated with the help of two simple examples. The technique can be of significant value to the supply chain managers in taking strategic decisions concerning suppliers and network configuration. We have also adapted the existing risk importance measures in the field of reliability engineering for their application in the domain of supply network reliability.

  • Item type:Book Section
    ID code:57005
    Dates:
    Date
    Event
    5 March 2015
    Published
    20 October 2014
    Accepted
    Notes:(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Subjects:Social Sciences > Industries. Land use. Labor > Risk Management
    Department:Strathclyde Business School > Management Science
    Depositing user: Pure Administrator
    Date deposited:20 Jul 2016 14:47
    Last modified:08 Apr 2024 13:22
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/57005
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