• DocumentCode
    2853158
  • Title

    The application of vendor managed inventory in the supply chain inventory model with probabilistic demand

  • Author

    Hidayat, Y.A. ; Anna, I.D. ; Khrisnadewi, A.

  • Author_Institution
    Dept. of Ind. Eng., Bandung Inst. of Technol. (ITB), Bandung, Indonesia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    252
  • Lastpage
    256
  • Abstract
    Numerous studies show that the application of Vendor Managed Inventory (VMI) provides benefits for members of the supply chain. This research considers the application of VMI in a supplier-buyer relationship and develops an analytical model to prove the benefits obtained from the VMI collaborative initiatives. A mathematical model is developed for a two-level supply chain consists of single supplier and single buyer in a probabilistic demand situation. The analytical model shows that the VMI implementation in the probabilistic inventory model, considering leadtime as a decision variable, has the ability to reduce the supply chain expected total cost, reduce the leadtime, therefore increase the frequency of replenishment and improve the service level. Numerical examples are given to prove these results analytically.
  • Keywords
    decision making; inventory management; mathematical analysis; probability; supply and demand; supply chain management; VMI collaborative initiatives; analytical model; mathematical model; probabilistic demand; probabilistic inventory model; supplier-buyer relationship; supply chain inventory model; two-level supply chain; vendor managed inventory; Analytical models; Lead; Mathematical model; Probabilistic logic; Safety; Supply chains; VMI; leadtime; probabilistic demand; service level; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117917
  • Filename
    6117917