Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model
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 m...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2023-12-01
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| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | https://www.riejournal.com/article_177134_1a51f9b540f1ebbaf9fb7a7be2fe6e75.pdf |
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| author | Amir Reza Bazargan Seyyed Esmaeil Najafi Farhad Hosseinzadeh Lotfi Mohammad Fallah |
| author_facet | Amir Reza Bazargan Seyyed Esmaeil Najafi Farhad Hosseinzadeh Lotfi Mohammad Fallah |
| author_sort | Amir Reza Bazargan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-37dc150befe949b2ae0a17621ec1ef10 |
| institution | Kabale University |
| issn | 2783-1337 2717-2937 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj-art-37dc150befe949b2ae0a17621ec1ef102025-01-30T15:10:04ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372023-12-0112433736310.22105/riej.2023.384254.1366177134Technical analysis of petrochemical industries of Iran using a network data envelopment analysis modelAmir Reza Bazargan0Seyyed Esmaeil Najafi1Farhad Hosseinzadeh Lotfi2Mohammad Fallah3Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.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.https://www.riejournal.com/article_177134_1a51f9b540f1ebbaf9fb7a7be2fe6e75.pdfperformance evaluationnetwork data envelopment analysisaggregate efficiencycomponentwise efficiency |
| spellingShingle | Amir Reza Bazargan Seyyed Esmaeil Najafi Farhad Hosseinzadeh Lotfi Mohammad Fallah Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model International Journal of Research in Industrial Engineering performance evaluation network data envelopment analysis aggregate efficiency componentwise efficiency |
| title | Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model |
| title_full | Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model |
| title_fullStr | Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model |
| title_full_unstemmed | Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model |
| title_short | Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model |
| title_sort | technical analysis of petrochemical industries of iran using a network data envelopment analysis model |
| topic | performance evaluation network data envelopment analysis aggregate efficiency componentwise efficiency |
| url | https://www.riejournal.com/article_177134_1a51f9b540f1ebbaf9fb7a7be2fe6e75.pdf |
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