• DocumentCode
    694163
  • Title

    Demand information sharing impact on supply chain management under demand uncertainty. A simulation model

  • Author

    Barroso, A.P. ; Machado, V.H. ; Machado, V. Cruz

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Univ. Nova de Lisboa, Lisbon, Portugal
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    924
  • Lastpage
    928
  • Abstract
    The modern business environments are subject to uncertainties that can adversely influence the supply chain performance. Demand information sharing between supply chain entities can improve the supply chain performance. To encourage them to share information, the generated benefits need to be comprehensively recognized. Simulation allows doing so. This paper intends to quantify the impact of the demand information sharing on supply chain management under demand uncertainty. The performance measure used is total costs. A simulation model of the supply chain of a case study was developed in Arena software. Customer demand is modeled by a normal distribution. Four scenarios are simulated with two different standard deviations each one with and without demand information sharing between supply chain entities. The results analysis shows that an increase in the customer demand variability worsens the studied performance measure. However, the introduction of demand information sharing improves the supply chain performance measure.
  • Keywords
    information management; normal distribution; production engineering computing; supply chain management; Arena software; customer demand variability; demand information sharing impact; demand uncertainty; normal distribution; simulation model; supply chain entities; supply chain management; supply chain performance; Analytical models; Information management; Object oriented modeling; Supply chains; Transportation; Uncertainty; Supply chain management; demand uncertainty; information sharing; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962547
  • Filename
    6962547