• DocumentCode
    2121493
  • Title

    Analyzing the supply chain for a large logistics operation using simulation

  • Author

    Jain, Sanjay ; Ervin, Eric C. ; Lathrop, Andrew P. ; Workman, Russell W. ; Collins, Lisa M.

  • Author_Institution
    Accenture, Reston, VA, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1123
  • Abstract
    This paper presents a case study of using simulation for analyzing the impact of proposed changes in the supply chain processes for a large logistics operation. The major changes explored include business process changes, and use of new supply chain software. The results of the analysis indicate that the changes in forecast accuracy provide much larger savings compared to process automation changes. A number of insights are drawn from the results of the analyses
  • Keywords
    business data processing; discrete event simulation; goods dispatch data processing; logistics data processing; management of change; manufacturing data processing; technology transfer; business process changes; forecast accuracy; large logistics operation; new supply chain software use; process automation changes; simulation; supply chain; Analytical models; Automation; Business communication; Discrete event simulation; Enterprise resource planning; Investments; Logistics; Machinery; Performance analysis; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2001. Proceedings of the Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-7307-3
  • Type

    conf

  • DOI
    10.1109/WSC.2001.977424
  • Filename
    977424