• DocumentCode
    2662282
  • Title

    Optimal production decision for two substitutable products with capacity constraint of manufacturer

  • Author

    Jie, Wei ; Fengsheng, Tu ; Cansheng, Wei ; Junqing, Sun

  • Author_Institution
    Dept. of Basic Sci., Acad. of Mil. Transp., Tianjin
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    A single period production decision model with one manufacturer who produces two substitutable products was considered in this paper. Facing random products demand, how to decide the production quantities for these two products to maximize the manufacturerpsilas profit when demand realized is of managerial interest. To the best of our knowledge, there is no good results on this problem because of the notorious difficulty of substitution problem. This paper explores the problem under the cases where the manufacturer with capacity constraint and the manufacturer without capacity constraint. The concavity of the manufacturerpsilas expected profit function was proved, and the effect of productspsila substitution to the manufacturerpsilas decisions was also investigated. Some properties of the optimal production quantities were given, which is helpful to search for the optimal production quantities.
  • Keywords
    capacity planning (manufacturing); decision making; decision theory; manufactured products; optimised production technology; profitability; supply and demand; expected profit function; manufacturer capacity constraint; optimal production decision; random products demand; single period production decision model; substitutable products; Computer science; Educational institutions; Electronic mail; Military computing; Production; Pulp manufacturing; Sun; Transportation; Virtual manufacturing; Cancave function; Capacity constraint; Production decisions; Substitutable products;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605285
  • Filename
    4605285