• DocumentCode
    2553827
  • Title

    Manufacturer´s procurement decision considering correlation of default risk between suppliers

  • Author

    An, Zhiyu ; Zhou, Jing ; Liu, Yucan

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    This paper analyses the procurement decision of a manufacturer who deals with two correlated suppliers who may default on their obligations to deliver order quantities at the end of the production lead time. Distinguished from the most studies about the supply disruption management by establishing multiple sources of supplies, this paper especially studies the effect of the suppliers´ correlation of default on the manufacturer´s order policy and supply disruption risk and it also uses CVaR (conditional value at risk) as the measure of risk. We first obtain the formula for the order quantities, which indicates that the correlation of default is negatively related to the order quantities, while positively related to the manufacturer´ CVaR. We then find the identical point where the manufacturer orders the same quantities from two different suppliers, and the decline of the correlation of default between the suppliers can still stimulate the manufacturer to order more.
  • Keywords
    order processing; procurement; risk analysis; supply and demand; conditional value at risk; correlated suppliers; order policy; order quantity; procurement decision; production lead time; supply disruption management; supply disruption risk; Costs; Engineering management; Portfolios; Procurement; Production; Pulp manufacturing; Risk analysis; Risk management; Technology management; Terrorism; CVaR; Correlation; default; dual-sourcing; supply disruption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344614
  • Filename
    5344614