• DocumentCode
    2309339
  • Title

    Integrated modeling to enhance resilience in sustainable supply chains

  • Author

    Badurdeen, Fazleena ; Wijekoon, Ken ; Shuaib, Mohannad ; Goldsby, Thomas J. ; Iyengar, Deepak ; Jawahir, I.S.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2010
  • fDate
    21-24 Aug. 2010
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    The success of organizations operating in complex environments depends on how well its supply chain could adapt to disruptions caused by unanticipated events. Building this resilience requires the capability to identify risks and uncertainties and modeling the impact of them on operations. Both of these have proven to be very difficult to do effectively. With the emerging interest in promoting sustainability companies are now forced to not only consider factors that affect economic performance but also those relating to environmental and societal responsibilities. Thus, increasing resilience in sustainable supply chains (SSCs) calls for a more holistic approach to address risk; it is necessary to consider the risks originating within and outside the company and those affecting all supply chain partners; also, the risks due to and impacting all stakeholder groups must be incorporated. This paper presents a comprehensive review of risks in SSCs and a potential approach to model their impact.
  • Keywords
    risk management; supply chains; economic performance; environmental responsibility; integrated modeling; risk identification; societal responsibility; sustainable supply chain; Bayesian methods; Companies; Driver circuits; Economics; Manufacturing; Measurement; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2010 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-5447-1
  • Type

    conf

  • DOI
    10.1109/COASE.2010.5584459
  • Filename
    5584459