• DocumentCode
    3544449
  • Title

    Supply Chain Simulation and Optimization Methods: An Overview

  • Author

    Othman, Siti Norsyahida ; Mustaffa, Noorfa Haszlinna

  • Author_Institution
    Dept. of Modeling & Ind. Comput., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2012
  • fDate
    8-10 Feb. 2012
  • Firstpage
    161
  • Lastpage
    167
  • Abstract
    This paper reviews a simulation method in the context of supply chain management (SCM). SCM problem usually are complex and need some effective method like a simulation for modeling. This study focuses on simulation modeling and tools that have been discussed and practiced by previous researchers, practitioners and also academics. The used of simulation tools can be classified into three groups: spreadsheet simulation, simulation software package and simulation programming language. Simulation is the best practice to evaluate the system performance closely to real situation. However, simulation solely is not enough to achieve optimal result and need to corporate with optimization techniques which also discussed in this paper. The overviews of simulation optimization and its application in SCM fields are also addressed. Lastly, several suggestions for future research were stated in conclusion section.
  • Keywords
    optimisation; simulation languages; software packages; spreadsheet programs; supply chain management; optimization method; simulation modeling; simulation programming language; simulation software package; simulation tools; spreadsheet simulation; supply chain management; supply chain simulation method; Analytical models; Computational modeling; Decision making; Mathematical model; Optimization; Software packages; Supply chains; Metaheuristic; Modeling; Optimization; Simulation; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-0886-1
  • Type

    conf

  • DOI
    10.1109/ISMS.2012.122
  • Filename
    6169693