• DocumentCode
    2688650
  • Title

    Model and algorithm for inventory-transportation integrated optimization problem—in view of many-one distribution network

  • Author

    Liu, Lihui ; Ye, Chunming

  • Author_Institution
    Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2009
  • fDate
    8-10 June 2009
  • Firstpage
    498
  • Lastpage
    503
  • Abstract
    VMI (vendor managed inventory) policy coordinates effectively the antinomy between the inventory and the transportation within logistics distribution system. Under VMI mode, integrating inventory and transportation of the supplier and the demander as a whole is vital to achieve the optimization of total distribution cost. In view of typical many-one distribution network in the modern distribution logistics system, the mathematic model on the inventory-transportation integrated optimization problem with stochastic demand and many products is established by using a bi-level programming method; and an improved heuristic algorithm is designed to solve the problem; at last, by some mathematic examples, the validity of the models and the algorithm is proved. And then, the mathematic description and the heuristic algorithm to the massive practice of the modern distribution logistics system are realized.
  • Keywords
    inventory management; logistics; optimisation; transportation; bi-level programming method; heuristic algorithm; inventory-transportation integrated optimization problem; logistics distribution system; stochastic demand; vendor managed inventory policy; Cost function; Design optimization; Heuristic algorithms; Inventory management; Logistics; Mathematical model; Mathematical programming; Mathematics; Stochastic systems; Transportation; bi-level programming method; improved heuristic algorithm; inventory and transportation; many-one distribution system; system optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2009. ICSSSM '09. 6th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3661-3
  • Electronic_ISBN
    978-1-4244-3662-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2009.5174935
  • Filename
    5174935