• DocumentCode
    2612429
  • Title

    Multi-Location Inventory System with Lateral Transshipments and Emergency Orders

  • Author

    Chartniyom, S. ; Lee, M.-K. ; Luong, L. ; Marian, R.

  • Author_Institution
    South Australia Univ., Mawson Lakes
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1594
  • Lastpage
    1598
  • Abstract
    Inventory redistribution and emergency replenishment in supply chains have long been studied in various contexts. From our strategic perspective, both systems can be used alternatively to cope with product shortages in a supply chain, especially for situations where high shortage costs are involved. In this paper, we present an incorporated scheme of lateral transshipments and emergency orders in a multi-location inventory system. We focused on a complex distribution network consisting of a capacitated distribution center and multiple retailers. A mathematical model is formulated in order to determine optimal inventory policies of the integrated systems. Lastly, we proposed a solution methodology using a hybrid Genetic Algorithm to solve the integrated multi-location inventory problem.
  • Keywords
    genetic algorithms; goods distribution; inventory management; order processing; retailing; supply chain management; capacitated distribution center; complex distribution network; emergency orders; emergency replenishment; hybrid genetic algorithm; inventory redistribution; lateral transshipments; multilocation inventory system; multiple retailers; optimal inventory policy; product shortages; supply chains; Companies; Costs; Genetic algorithms; Inventory management; Manufacturing industries; Mathematical model; Mechanical engineering; Stochastic processes; Supply chains; Systems engineering and theory; Emergency Orders; Genetic Algorithm; Lateral Transshipments; Multi-Location Inventory;
  • 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.2007.4419461
  • Filename
    4419461