• DocumentCode
    2226631
  • Title

    A study of markdown policy in Aggregate Production Planning environment by developing a APP-MP model

  • Author

    Chung, William ; Zhu, Wenyun

  • Author_Institution
    Dept. of Manage. Sci., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1133
  • Lastpage
    1137
  • Abstract
    It is believed that the information sharing and cooperation between the retailer and the manufacturer become important now for improving their performance. This paper is to study the significance of the cooperation between the mark down policy and the aggregate planning so as to simulate the cooperation between retailers and manufacturers by a new model, Aggregate Production Planning-Mark down Pricing Model (APP-MP) which is established by integrating the mark down model into Aggregate Production Planning model. The APP-MP is a nonlinear integer programming model which is able to help the retailer and the manufacturer simultaneously make the pricing decisions, including the magnitude and time of mark down, and operational decisions so that greater profits could be obtained. The example solution shows that the cooperation definitely increases the profits. This paper¿s result also implies that, instead of holding the belief ¿selling more and earning more¿, the retailer could cooperate with manufacturer to plan the production and earns more.
  • Keywords
    integer programming; nonlinear programming; pricing; production planning; aggregate production planning; information sharing; markdown policy; markdown pricing model; nonlinear integer programming; pricing decisions; Aggregates; Capacity planning; Environmental management; Inventory management; Linear programming; Pricing; Production planning; Pulp manufacturing; Subcontracting; Virtual manufacturing; Aggregate Production Planning; Cooperation; Markdown Policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738047
  • Filename
    4738047