• DocumentCode
    130996
  • Title

    Supernetwork and entropy theory in quantitative decision-making of emergency logistics

  • Author

    Liyuan Shang ; Qingmei Tan

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    897
  • Lastpage
    903
  • Abstract
    Supernetwork theory is a newly tool which is used to study complex network. The quantitative decision-making of emergency logistics can be analyzed by the supernetwork definition which is defined by hypergraph. In order to adjust decisions and improve the overall efficiency, emergency logistics capability should be evaluated according to different stages in emergency logistics activities. Emergency logistics supernetwork model is built based on supernetwork theory, which is composed of three sub-networks, consisting of the organization, information and infrastructure. Four evaluation indicators relating to the emergency logistics supernetwork capability are analyzed, which include time effectiveness, quality, operation and supernetwork structure. Entropy evaluation model of emergency logistics supernetwork capability is built based on entropy theory and the definition of order degree. The methods are discussed for calculating the time effectiveness, quality, operation, supernetwork structure and total order degree. The practicability of the model is proved by the result of the numerical example given.
  • Keywords
    complex networks; decision making; entropy; graph theory; logistics; network theory (graphs); complex network; emergency logistics quantitative decision-making; entropy theory; hypergraph; order degree definition; supernetwork theory; Complex networks; Decision making; Entropy; Logistics; Measurement uncertainty; Organizations; Uncertainty; emergency logistics; entropy theory; evaluation; supernetwork;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933710
  • Filename
    6933710