• DocumentCode
    498799
  • Title

    A model of stochastic inventory management with intellectual search method

  • Author

    Jun, Deng ; Shiji, Song ; Pengcheng, Ji ; Bo, Zhang

  • Author_Institution
    Sch. of Stat., Renmin Univ. of China, Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2038
  • Lastpage
    2043
  • Abstract
    Inventory cost model for sole product is investigated in stochastic environment. The logistics cost consists of holding cost, shortage cost and transportation cost. The stochastic lead-time of goods and stochastic arrival time of ships are simultaneously considered. Combining with the national well-known steel company´s oversea purchasing processing, we firstly propose a mathematical model to formulate this complex problems. The genetic algorithm is applied to solve this problem because of its complexity. The numerical examples are presented to illustrate the validity for solving this model with stochastic uncertainty.
  • Keywords
    costing; genetic algorithms; inventory management; logistics; purchasing; search problems; ships; steel manufacture; stochastic processes; transportation; warehousing; genetic algorithm; goods distribution; holding cost; intellectual search method; logistics cost; mathematical model; oversea purchasing processing; shortage cost; steel company; stochastic inventory management; transportation cost; warehouse; Costs; Genetic algorithms; Inventory management; Logistics; Marine vehicles; Mathematical model; Search methods; Steel; Stochastic processes; Transportation; Genetic algorithm; Inventory; Logistics cost; Stochastic arrival time; Stochastic lead-time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212136
  • Filename
    5212136