• DocumentCode
    2934661
  • Title

    Dynamic Intelligent System for Sourcing Contingency Planning Considering Supplier Failures

  • Author

    Ruiz-Torres, A.J. ; Mahmoodi, F. ; Zeng, A. ; Nieves-Rodriguez, E.

  • Author_Institution
    Fac. de Administracion de Empresas, Univ. de Puerto Rico - Rio Piedras, San Juan, Puerto Rico
  • fYear
    2012
  • fDate
    14-16 Nov. 2012
  • Firstpage
    269
  • Lastpage
    274
  • Abstract
    This paper considers the allocation of demand across a set of suppliers given supplier failures. The buyer can purchase a critical item from multiple suppliers and each supplier has unique reliability characteristics. The model assumes there is information about the suppliers´ failure condition and the ability of those suppliers that do not fail to produce emergency units. The model takes into account multiple costs including supplier fixed costs and variable costs per unit, transportation costs, and the financial loss of not meeting requirements, particular to that demand point. The model utilizes the decision tree approach to consider all the possible states of nature when one or more suppliers fail, as well as expanding the traditional transportation problem.
  • Keywords
    decision trees; emergency management; failure analysis; purchasing; supply chain management; contingency planning sourcing; critical item purchasing; decision tree approach; demand allocation; dynamic intelligent system; emergency units; financial loss; supplier failure condition; supplier fixed cost per unit; supplier variable costs per unit; transportation costs; Mathematical model; Planning; Procurement; Reliability; Resource management; Supply chains; Transportation; sourcing decision making; supplier management; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2012 Sixth UKSim/AMSS European Symposium on
  • Conference_Location
    Valetta
  • Print_ISBN
    978-1-4673-4977-2
  • Type

    conf

  • DOI
    10.1109/EMS.2012.57
  • Filename
    6410164