• DocumentCode
    3665111
  • Title

    Extended EOQ model considering demand fluctuation in reverse logistics

  • Author

    Jiali Zhu;Toshiya Kaihara;Nobutada Fujii;Daisuke Kokuryo;Swee S. Kuik

  • Author_Institution
    Department of Systems Science, Graduate School of System Informatics, Kobe University, Kobe, Japan
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    221
  • Lastpage
    227
  • Abstract
    Based on Dobos & Richter model, this paper proposes an extended EOQ model considering demand fluctuation with three recovery options in Reverse logistics. The model assumes Production Distribution to meet demand fluctuation and Disposal Distribution to conform to the dynamic quantity of recoverable used items. We find the optimal strategies by minimizing the total cost. Case studies demonstrate the extended model can obtain optimal decisions for minimizing total cost in production management considering Reverse Logistics.
  • Keywords
    "Recycling","Maintenance engineering","Throughput","Reverse logistics","Gaussian distribution","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
  • Type

    conf

  • DOI
    10.1109/SICE.2015.7285546
  • Filename
    7285546
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3665111