• DocumentCode
    2612421
  • Title

    A two-commodity deteriorating inventory model with price-dependent demand

  • Author

    Feng, Y. ; Cai, X.Q. ; Tu, F.S.

  • Author_Institution
    Nankai Univ., Tianjin
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1589
  • Lastpage
    1593
  • Abstract
    Recently, inventory models considering deteriorating items have attracted much more attention in that almost all commodities in real life deteriorate over time. This study deals with a two-commodity deteriorating inventory model when the demand of each commodity depends linearly on the selling prices of both two commodities. Deterioration rate of each commodity is assumed to be time-proportional and the time to deterioration follows a two-parameter Weibull distribution. The objective of this study is to find the joint optimal pricing strategies and replenishment policies to maximize the total average net profit in a replenishment cycle. This problem can be finally formulated as a nonlinear programming and the optimal solution is proved to exist. Solution procedure and algorithm of searching for the optimal solution are developed in detail. A numerical example is given at last which illustrates the results of the model. The optimal solutions and some useful curves are obtained by simulating with Matlab 7.0.
  • Keywords
    Weibull distribution; inventory management; nonlinear programming; pricing; sales management; Matlab; inventory model; nonlinear programming; optimal pricing strategies; price-dependent demand; replenishment policies; selling prices; two-commodity deteriorating item; two-parameter Weibull distribution; Automation; Cost function; Educational institutions; Mathematical model; Modeling; Pricing; Research and development management; Systems engineering and theory; Weibull distribution; Deteriorating Inventory model; Price-dependent demand; Two-commodity; Weibull distribution;
  • 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.2007.4419460
  • Filename
    4419460