• DocumentCode
    2855013
  • Title

    Measuring efficiency of production lines based on maintenance factors; using DEA

  • Author

    Abbasi, Sahar ; Shirouyehzad, Hadi

  • Author_Institution
    Dept. of Ind. Eng., Islamic Azad Univ., Esfahan, Iran
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    784
  • Lastpage
    788
  • Abstract
    Efficiency measurement is always considered because of its importance in performance evaluation of organization. The purpose of This study is to assess efficiency of four concentrate production lines in Chadormalu Mining & Industrial Company within two consecutive years. Hence, Data Envelopment Analysis (DEA) model is used as a quantitative analytical procedure and ends to actual standards of efficiency. In this paper consider various indicators of Maintenance as inputs as well as outputs, and the production lines are thought of Decision Making Units (DMU) that classified either as efficient or inefficient. Changes in inputs or outputs of any DMU can alter its classification, DMU change in inputs or outputs can change the DMU status to inefficient and vice versa. Therefore, Sensitivity Analysis is used to analyze how any decrease in inputs can raise the efficiency of inefficient parts. This way, those exhibiting best practice can be identified and will form an efficient frontier.
  • Keywords
    data envelopment analysis; decision making; maintenance engineering; mining industry; production management; sensitivity analysis; Chadormalu Mining and Industrial Company; DEA; data envelopment analysis; decision making units; efficiency measurement; maintenance factors; production lines efficiency; sensitivity analysis; Analytical models; Companies; Data envelopment analysis; Iron; Maintenance engineering; Productivity; Data Envelopment Analysis (DEA); maintenance; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118023
  • Filename
    6118023