• DocumentCode
    2244121
  • Title

    Research on agile scheduling decision support system in logistics

  • Author

    Wang, Fu-Zhong

  • Author_Institution
    Sch. of Econ. & Manage., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    1881
  • Lastpage
    1886
  • Abstract
    By using the running control idea based on agile knowledge rules, the paper researches a general framework of agile scheduling decision support system (ASDSS), and also further researches the database system, the model base and method base in the ASDSS. The paper uses a hierarchical design way to design the database system, and proposes a vehicle optimization model VOM for the model base and a “dichotomic search” algorithm for the method base in the ASDSS, and proves the high efficiency of the model VOM solving algorithm. The research result shows the ASDSS can effectively support the fast implementing of agile scheduling in logistics.
  • Keywords
    database management systems; decision support systems; logistics; scheduling; search problems; VOM; agile knowledge rules; database system; dichotomic search algorithm; logistics; model VOM solving algorithm; scheduling decision support system; vehicle optimization model; Databases; Decision support systems; Load modeling; Loading; Optimization; Variable speed drives; Vehicles; Agile scheduling; Decision support system; General framework; Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580534
  • Filename
    5580534