• DocumentCode
    2100099
  • Title

    Based on Capacity Planning of Order Selection Decision Model in Make-to-Order Enterprises

  • Author

    Wang, Chao

  • Author_Institution
    Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper addresses an order selection decision model in a make-to-order operation environment based on the short-term capacity-planning problem. Make-to-stock and make-to-order are two generic operation modes commonly used in the manufacturing world. The make-to-order enterprise makes the production systems to produce a product only after it is ordered. The enterprise must decide which orders can be accepted to get the optimal profit and meet the due time. This paper addresses a order selection decision model in a make-to-order operation environment. The mathematical model is proposed to select a set of customer orders to maximize the operational profit such that all the selected orders are fulfilled by their deadline. With a given capacity limit on each resource type and its cost rate, solving this model leads to an optimal production mix for the orders over a given time horizon. The conclusion shows that it is not a optimal choice to accept all customer´s orders although they can be produced before deadline. This paper tells the enterprise how to select the order selection according to the cost and production capacity planning.
  • Keywords
    capacity planning (manufacturing); customer services; decision theory; manufacturing systems; order processing; customer orders; make-to-order enterprise; make-to-stock enterprise; operational profit; optimal production mix; order selection decision model; production capacity planning; production systems; Capacity planning; Chaos; Environmental management; Job shop scheduling; Manufacturing; Paper technology; Production; Subcontracting; Technology management; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302051
  • Filename
    5302051