Modeling and analyzing supply chain reliability by different effects of failure nodes

  • Lun Ran*
  • , Xujie Jia
  • , Rongjie Tian
  • *Corresponding author for this work

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

    Abstract

    From the viewpoint of a distributed service process, an ion-channel based method was proposed to analyze the reliability of supply chains. An analytic method was presented to determine the reliability of supply chains for logistics systems. New models were built to consider the following situations: when the nodes failed, different defect states had different measures and effects on the system. A Markov model was introduced to analyze the system safety and aggregate states to get the number of repairs and length of time before the system became dangerous by using ion-channel modeling theory. Finally a numerical example was presented to illustrate the results obtained in this paper.

    Original languageEnglish
    Title of host publication2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
    Pages396-400
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    Event2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009 - Xi'an, China
    Duration: 26 Dec 200927 Dec 2009

    Publication series

    Name2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
    Volume4

    Conference

    Conference2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009
    Country/TerritoryChina
    CityXi'an
    Period26/12/0927/12/09

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • Failed-dangerous
    • Failed-safe
    • Ion-channel
    • Markov model
    • Supply Chain

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