• DocumentCode
    2613236
  • Title

    Advanced Look-ahead Based Approach (ALBA) for distributed simulation of supply chains

  • Author

    Tammineni, Satish ; Venkateswaran, Jayendran

  • Author_Institution
    Indian Inst. of Technol. Mumbai, Mumbai
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1838
  • Lastpage
    1842
  • Abstract
    Distributed simulation is an emerging technique for simulation of supply chains consisting of multiple independent detailed discrete-event models. Time synchronization is one of the critical issues that affect the accuracy of results, network load and execution time. An advanced look-ahead based approach (ALBA), a hybrid conservative approach for time synchronization, is proposed that allows the models to run as-fast-as-possible to the nearest interaction event. This is achieved using an improved supply chain domain specific look-ahead algorithm that handles multiple types of interactions. The effect of stochasticity of the models on the performance of the look-ahead algorithm is discussed. Also, the performance of ALBA is appraised against two other hybrid time synchronization approaches in literature. Experimental results using a four player distributed supply chain simulation show that ALBA functions better than the other approaches in terms of network communication load and execution time.
  • Keywords
    discrete event simulation; supply chain management; synchronisation; advanced look-ahead based approach; discrete-event model; distributed simulation; look-ahead algorithm; stochasticity; supply chain; time synchronization; Clocks; Computational modeling; Discrete event simulation; Industrial engineering; Large-scale systems; Mechanical engineering; Optimization methods; Supply chains; Synchronization; Virtual manufacturing; Time synchronization; distributed simulation; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419510
  • Filename
    4419510