• DocumentCode
    2913886
  • Title

    The early warning management of logistics service risk based on fuzzy comprehensive evaluation

  • Author

    Mingfei, Liu ; Jianli, Cui

  • Author_Institution
    Wuhan Univ. of Technol., Wuhan
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    983
  • Lastpage
    987
  • Abstract
    As logistics enterprises perhaps constantly experience various kinds of unpredictable risks which might cause enormous loss, and the early warning management of logistics service risk is very necessary to improve logistics enterprise´s competitive edge. In this paper, firstly, we analyze the risk of logistics service such as customer service risk, delivering ability risk, order processing risk, flexibility risk and personnel´s quality risk, and then set up the early warning index system of logistics service risk. Secondly, we make full use of single early warning and comprehensive early warning to predict the risk state of the logistics service scientifically through the fuzzy comprehensive evaluation. Finally, the established system gives corresponding alarming signal in line with risk ratings of logistics service. Thus, the evaluation system has the ability of recognizing errors and preventing from errors.
  • Keywords
    customer services; fuzzy set theory; logistics; order processing; risk management; customer service risk; delivering ability risk; early warning index system; early warning management; flexibility risk; fuzzy comprehensive evaluation; logistics service risk; order processing risk; personnel quality risk; Accidents; Appraisal; Conference management; Contingency management; Crisis management; Environmental management; Logistics; Risk analysis; Risk management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443419
  • Filename
    4443419