Document Type : Research Paper

Authors

• Amir Reza Bazargan ¹
• Seyyed Esmaeil Najafi ²
• Farhad Hosseinzadeh Lotfi ³
• Mohammad Fallah ⁴

¹ Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran

² Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran

³ Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

⁴ Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

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 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

Main Subjects

• Data Envelopment Analysis, DEA