• DocumentCode
    498779
  • Title

    Notice of Retraction
    Multi-target optimization model of logistics resources allocation

  • Author

    Zi-Kui Lin ; Lei Chen

  • Author_Institution
    Dept. of Logistics Manage., Beijing Jiao Tong Univ., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2587
  • Lastpage
    2592
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Considering the balance between the cost of enterprise logistics resource and service levels, and took into account the internal and external enterprise resources, establishing a multi-objective model with the decision about resource outsourcing. Solving the model with epsiv restriction method, the possible solution is acquired and evaluated. Displaying the best outsourcing decision in different objectives of circumstances the same is the optimal allocation of resources programmer. Finally, the example shows the application of the model in decision programming.
  • Keywords
    costing; decision making; decision theory; logistics; mathematical programming; outsourcing; resource allocation; costing; decision programming; enterprise logistics resource allocation; epsiv restriction method; multitarget optimization model; resource outsourcing; Conference management; Costs; Cybernetics; Electronic mail; Humans; Logistics; Machine learning; Mathematical model; Outsourcing; Resource management; Logistics resources; Multi-target programming; Optimization; Resource Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Hebei
  • Print_ISBN
    978-1-4244-3702-3
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212105
  • Filename
    5212105