• DocumentCode
    2967432
  • Title

    A task group based multi-order critical chain identification algorithm

  • Author

    Liu, Qiong ; Liu, Na ; Ullah, Saif

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1494
  • Lastpage
    1498
  • Abstract
    In order to improve on-time delivery of orders and reduce the delivery time of orders, the critical chain project management method is introduced to the order management in multi-variety and small batch order production companies and a critical chain based multi-order management method is yielded. To reduce the complexity of multi-order processing in each task node, a task group is used to simply the process of critical chain identification. A task group based critical chain identification algorithm for multi-order management is proposed. The proposed algorithm is verified in an air conditioner manufacturing company. The illustrative example shows that the proposed algorithm could help the company to rationalize resources allocation, to make reasonable guaranteed delivery time and to reduce the lead time.
  • Keywords
    batch production systems; order processing; project management; air conditioner manufacturing company; critical chain project management method; multiorder critical chain identification algorithm; multivariety batch order production companies; ontime order delivery; order management; resources allocation; small batch order production companies; task group; Environmental management; Laboratories; Lead time reduction; Manufacturing; Process control; Process planning; Production; Project management; Resource management; Safety; Critical chain; multi-order critical chain algorithm; order management; project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373077
  • Filename
    5373077