• Title of article

    Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model

  • Author/Authors

    Bazargan ، Amir Reza Department of Industrial Engineering - Islamic Azad University, Central Tehran Branch , Najafi ، Esmaeil Department of Industrial Engineering - Islamic Azad University, Science and Research Branch , Hosseinzadeh Lotfi ، Farhad Department of Mathematics - Islamic Azad University, Science and Research Branch , Fallah ، Mohammad Department of Industrial Engineering - Islamic Azad University, Science and Research Branch

  • From page
    337
  • To page
    363
  • Abstract
    The data envelopment analysis method is commonly used to measure efficiency. An estimate of the relative efficiency of this model is derived by calculating the ratio between inputs and outputs. Data envelopment analysis models can also be applied to network structures due to the extension of these models. Supply Chain Management (SCM) is a novel approach that governed production management in recent years. In complex and dynamic environments, the petrochemical industry requires an investigation system similar to those used by other organizations to inform about its activity’s desirability, especially in complex and dynamic environments. This research focused on the petrochemical company supply chain. Laboratory studies, experts, and visits to petrochemical sites were used to identify production processes and determine indicators. After that, they were evaluated with an envelopment model and a coefficient corresponding to the identified petrochemical supply chain structure. The aggregate and componentwise efficiency of the studied units in petrochemical were also examined from 2016 to 2019.
  • Keywords
    Performance Evaluation , Network Data Envelopment Analysis , aggregate efficiency , componentwise efficiency
  • Journal title
    International Journal of Research in Indstrial Engineering
  • Journal title
    International Journal of Research in Indstrial Engineering
  • Record number

    2760648