• DocumentCode
    2955329
  • Title

    Research of Logistics Inventory Optimization and Information Processing Based on Gray Clustering Decision

  • Author

    Zhao, Feiyan ; Yu, Junle

  • Author_Institution
    Coll. of Comput. Sci. & Software, Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the development of modern logistics information to speed up the process, logistics support needs of decision-making more and more, however, there are often many uncertainties in the problems of the inventory decision-making in the reality. In this paper, inventory management theory and methods were studied and the use of fuzzy mathematics, the gray system theory improved the classification and the implementation process of the inventory management, which improve the traditional inventory management technical methods.
  • Keywords
    decision making; fuzzy set theory; grey systems; inventory management; logistics; optimisation; pattern clustering; fuzzy mathematics; gray clustering decision; gray system theory; information processing; inventory decision-making; inventory management theory; logistics information; logistics inventory optimization; logistics support; Customer satisfaction; Data mining; Decision making; Indexes; Industries; Inventory management; Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997727
  • Filename
    5997727