• DocumentCode
    2186503
  • Title

    A simulation based approach for dock allocation in a food distribution center

  • Author

    Gopakumar, Balagopal ; Sundaram, Suvarna ; Wang, Shengyong ; Koli, Sumit ; Srihari, Krishnaswami

  • Author_Institution
    Dept. of Syst. Sci. & Ind. Eng., Binghamton Univ., Binghamton, NY, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    2750
  • Lastpage
    2755
  • Abstract
    This research endeavor focused on the warehouse receiving process at a large food distribution center, which comprises of trucks with goods reaching the destination warehouse, unloading and finally putting away the contents to the specific aisles. Discrete event simulation was used to model the current system¿s functioning and to identify operational inefficiencies which were quantified through a detailed value stream mapping exercise. Inspired by `lean¿ philosophy, a dock allocation algorithm was designed to take into account the relationship between the dock location and the destination aisle to `optimally¿ assign the trucks to the docks. After validating the baseline, new scenarios incorporating the allocation algorithm were tested. Two of the scenarios showed an average reduction of 30% in daily travel distance for the `put-away¿ personnel. The simulation model also helped visualize the benefits that would accrue through the use of lean principles to reduce the non-value added time in warehouse operations.
  • Keywords
    discrete event simulation; food processing industry; goods distribution; warehousing; destination warehouse; discrete event simulation; dock allocation; food distribution center; simulation based approach; value stream mapping; warehouse receiving process; Algorithm design and analysis; Discrete event simulation; Food industry; Food manufacturing; Industrial engineering; Job shop scheduling; Manufacturing industries; Personnel; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736393
  • Filename
    4736393