• DocumentCode
    3218785
  • Title

    An inventory model with stochastic lead-time and stochastic demand

  • Author

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

  • Author_Institution
    Sch. of Stat., Renmin Univ. of China, Beijing, China
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    1778
  • Lastpage
    1782
  • Abstract
    In this paper, the periodic review stochastic inventory control problem is investigated where the logistics cost consists of holding costs, shortage costs and ordering costs. The goal is to coordinate a sequence of orders of a single commodity, aiming to supply stochastic demands over a discrete finite horizon with minimum expected costs. Under some assumptions, the convexity of the cost function is proved and the global optimal solution can be given by explicit form. Finally, the numerical examples are presented to illustrate the validity for solving this model using Simulated Annealing algorithm.
  • Keywords
    demand forecasting; simulated annealing; stochastic processes; stock control; discrete finite horizon; logistic cost; periodic review stochastic inventory control problem; simulated annealing algorithm; stochastic demand; stochastic lead-time; Automation; Cost function; Dynamic programming; Function approximation; Inventory control; Lot sizing; Predictive models; Random variables; Simulated annealing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
  • Conference_Location
    Xiamen
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4244-5195-1
  • Electronic_ISBN
    1948-3449
  • Type

    conf

  • DOI
    10.1109/ICCA.2010.5524275
  • Filename
    5524275