• DocumentCode
    2554032
  • Title

    Data envelopment analysis model and its application on technical efficiency evaluation of coal enterprise

  • Author

    Pan, F. ; Li, N.L. ; Gao, J.

  • Author_Institution
    Sch. of Mines, China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    A math model based on Data Envelopment Analysis was proposed to make comprehensive technical efficiency evaluation for coal enterprise with multi-input and multi-output systems generally, and this makes it complex and difficult to make precise technical efficiency evaluation, for example, it is hard to set evaluating weights index and difficult to get sound evaluation when the evaluation function is unknown. However, these difficulties can be avoided with DEA model. The C2GS2 model and EC2GS2 model derived from C2GS2 model were proposed and their efficiency judgment criterions were given in this paper. Then based on existing data, the model was applied to make technical efficiency evaluation for Chinese coal enterprises to estimate their technical performance.
  • Keywords
    MIMO systems; data envelopment analysis; fuel processing industries; mining industry; C2GS2 model; Chinese coal enterprises; DEA model; EC2GS2 model; data envelopment analysis model; evaluating weights index; evaluation function; multiinput multioutput systems; technical efficiency evaluation; Air transportation; Constraint optimization; Data envelopment analysis; Decision making; Guidelines; Hospitals; Large-scale systems; Linear programming; Renewable energy resources; Stochastic processes; C2GS2 model; Coal Enterprise; Data Envelopment Analysis; EC2GS2 model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344623
  • Filename
    5344623