• DocumentCode
    3585534
  • Title

    A Robust Simulation for EOQ Model with Exponential Distributed Demand

  • Author

    Yang Yaqing ; Ma Yizhong ; Zhong Jianlan ; Zhu Lianyan

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    2
  • fYear
    2014
  • Firstpage
    486
  • Lastpage
    489
  • Abstract
    With the rapid development of economic and technology, the demand of market changes in a fluctuating way. Many researches use statistical methods to describe the demand rate while in economic order quantity (EOQ) optimization. Exponential distribution has been widely recognized as an effective model for describing the demand rate especially for new items and deteriorating items. However, in most simulation optimization for EOQ, the distribution of the demand rate is set as normal distributed. Based on the assumption that the demand rate follows exponential distribution, we conduct robust simulation for EOQ model by incorporating Kriging model and Taguchi´s robust view and then estimate the pareto frontier. The result suggests the robust optimization requires different order quantity from that of classic EOQ.
  • Keywords
    Pareto distribution; Taguchi methods; economics; exponential distribution; normal distribution; optimisation; statistical analysis; EOQ model; EOQ optimization; Kriging model; Pareto frontier; Taguchi robust view; deteriorating items; economic order quantity optimization; exponential distributed demand; market demand; new items; normal distribution; statistical methods; Computational modeling; Data models; Economics; Optimization; Robustness; Standards; EOQ model; exponential distribution; kriging model; robust simulation; the demand rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
  • Print_ISBN
    978-1-4799-7004-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2014.230
  • Filename
    7082036