• DocumentCode
    572490
  • Title

    Available-to-promise model for a multi-site supply chain

  • Author

    Yang, Wen ; Fung, Richard Y K

  • Author_Institution
    Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    Available-to-promise (ATP) as a means for management of customer demands, production scheduling and the available resource has to make three main decisions: order acceptance/selection, due date assignment, and order scheduling. This research integrates the three decision-making mechanisms. A mixed integer nonlinear programming model of ATP problem is proposed to maximize the profit while satisfying customer orders at required time horizon over a multi-site supply chain scope. In order to improve efficiency, a branch-and-price approach is adopted to solve this model.
  • Keywords
    customer satisfaction; customer services; decision making; integer programming; nonlinear programming; order processing; pricing; profitability; resource allocation; scheduling; supply chain management; ATP problem; available resource management; available-to-promise model; branch-and-price approach; customer demand management; customer order satisfaction; decision making mechanism; due date assignment; mixed integer nonlinear programming model; multisite supply chain; multisite supply chain scope; order acceptance; order scheduling; order selection; production scheduling; profit maximization; Assembly; Indexes; Job shop scheduling; Raw materials; Supply chains; Transportation; available-to-promise; branch-and-price; demand fulfillment; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2012 IEEE International Conference on
  • Conference_Location
    Zhengzhou
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4673-0362-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2012.6308173
  • Filename
    6308173