• DocumentCode
    2612599
  • Title

    A multi-period ordering policy in supply chain

  • Author

    Wei, C.C. ; Chen, L.T.

  • Author_Institution
    Ching Yun Univ., Chungli
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1649
  • Lastpage
    1653
  • Abstract
    Supply chain management (SCM) is seen as a set of practices aimed at managing and coordinating the whole supply chain from raw material suppliers to end customers and develops greater synergy through collaboration along the whole channel. Traditionally, a newsboy model can be employed in a single period and single product ordering model of a retailer. In this paper, we extend the classical newsboy model to solve a multiple period ordering policy between a manufacturer and a retailer. We consider a single product which is subject to uncertain demand which is a function of price. The proposed model can determine the quantity of the retailer ordering from the manufacturer by considering maximizing the profit of the channel. A numerical study is conducted to attend qualitative insights into the structures of the proposed policy. The numerical results show that the solutions generated by the proposed policy outperform that by the independent policy or fix ordering quantity policy in the profits of the retailer and overall channel.
  • Keywords
    customer services; order processing; profitability; raw materials; retailing; supply chain management; end customers; fix ordering quantity policy; multiperiod ordering policy; product ordering model; profits; raw material suppliers; retailer; supply chain management; synergy; Automation; Collaboration; Costs; Engineering management; Enterprise resource planning; Manufacturing; Materials requirements planning; Raw materials; Supply chain management; Supply chains; Newsboy model; ordering policy; supply chain management;
  • 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.2007.4419472
  • Filename
    4419472