• DocumentCode
    3376410
  • Title

    A cloud computing architecture for supply chain network simulation

  • Author

    Rossetti, Manuel D. ; Yaohua Chen

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Arkansas, Fayetteville, AR, USA
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    This paper presents a Cloud Computing Architecture For Supply Chain Network Simulation (CCAFSCNS). The structure and elements of the CCAFSCNS as well as the relations among elements are introduced. The purpose of the architecture is to facilitate the distributed simulation of large-scale multi-echelon supply chains with an arborescent structure. The simulator in the CCAFSCNS permits the user to specify the network structure, the inventory stocking policies and demand characteristics so that supply chain performance can be estimated (e.g. average inventory on hand, average fill rates, average backorders, etc.) for each stock-keeping-unit. A prototype system that implements the CCAFSCNS is presented and illustrated with three example use cases. In addition, this paper discusses the time issues associated with the cloud computing solution and shows that the cloud computing solution can significantly shorten the simulation time.
  • Keywords
    cloud computing; digital simulation; production engineering computing; prototypes; software architecture; stock control; supply chain management; CCAFSCNS; arborescent structure; cloud computing architecture-for-supply chain network simulation; cloud computing solution; demand characteristics; distributed simulation; inventory stocking policies; large-scale multiechelon supply chains; prototype system; simulation time reduction; stock-keeping-unit; supply chain performance estimation; Analytical models; Cloud computing; Computational modeling; Computer architecture; Data models; Supply chains; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465196
  • Filename
    6465196