• DocumentCode
    1651263
  • Title

    Real-time order promising methods considering scheduling of production lines under make-to-order environments

  • Author

    Lee, Geun-Cheol

  • Author_Institution
    Coll. of Bus. Adm., Konkuk Univ., Seoul, South Korea
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this study, we consider an order promising problem at parallel machine shop where orders arrive dynamically. We develop a real-time due-date quoting method for the problem. In the method, the inventory status of the shop as well as the various scheduling methods used in the shop are taken into account. The quoting needs to be done very fast for the due-date negotiation between sales managers and customers, thus the proposed method should generate accurate quoting results in a few seconds. The results of the promptly quoted due-dates will be compared with the results of actual completion times of the orders which are obtained from the simulation experiments.
  • Keywords
    customer satisfaction; inventory management; job shop scheduling; order processing; sales management; make-to-order environments; parallel machine shop scheduling method; production lines scheduling; real-time due-date quoting method; real-time order promising method; Computational modeling; Dispatching; Equations; Estimation; Job shop scheduling; Parallel machines; order promising; parallel machine shop; scheduling; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Industrial Engineering (CIE), 2010 40th International Conference on
  • Conference_Location
    Awaji
  • Print_ISBN
    978-1-4244-7295-6
  • Type

    conf

  • DOI
    10.1109/ICCIE.2010.5668243
  • Filename
    5668243