Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data
Data envelopment analysis is a set of mathematical programming models based on linear programming which are able to measure the relative efficiency of DMUs. This technique investigates strengths and weaknesses of any DMUs and offers suggestions to improve their efficiency. Most of DEA models require...
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| Format: | Article |
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Defence Industries Training and Research Institute
2016-06-01
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| Series: | بهبود مدیریت |
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| Online Access: | https://www.behboodmodiriat.ir/article_42903_fc4fa657d36e78fe6f59803de77deabc.pdf |
| _version_ | 1811158251838898176 |
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| author | Amir Hossein Sadeqian Mir Saman Pishvaee |
| author_facet | Amir Hossein Sadeqian Mir Saman Pishvaee |
| author_sort | Amir Hossein Sadeqian |
| collection | DOAJ |
| description | Data envelopment analysis is a set of mathematical programming models based on linear programming which are able to measure the relative efficiency of DMUs. This technique investigates strengths and weaknesses of any DMUs and offers suggestions to improve their efficiency. Most of DEA models require the exact information of inputs and outputs. However, in many real world applications this simple assumption does not hold. Robust optimization is one of recent methods which could handle uncertainty in data. In this paper, a branch of robust optimization whcih is called robust optimization based on convex sets is applied to develop robust DEA model which is capable to handle uncertainty in input data. We present a new method which incorporates the robust counterpart of super-efficiency DEA. The perturbation and uncertainty in data is assumed as polyhedral set and the robust super-efficiency DEA model is extended. The proposed model is used to evaluate the performance and ranking of Iranian ports. The results indicate that the robust DEA approach can be a relatively more reliable method for efficiency estimating and ranking strategies in compare to traditional DEA models. |
| first_indexed | 2024-04-10T05:21:19Z |
| format | Article |
| id | doaj.art-6511bb5ee824478084ca8e245d85f91d |
| institution | Directory Open Access Journal |
| issn | 2251-8991 2783-090X |
| language | fas |
| last_indexed | 2024-04-10T05:21:19Z |
| publishDate | 2016-06-01 |
| publisher | Defence Industries Training and Research Institute |
| record_format | Article |
| series | بهبود مدیریت |
| spelling | doaj.art-6511bb5ee824478084ca8e245d85f91d2023-03-08T07:22:41ZfasDefence Industries Training and Research Instituteبهبود مدیریت2251-89912783-090X2016-06-0110210913442903Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain DataAmir Hossein Sadeqian0Mir Saman Pishvaee1MSc student of Socioeconomic System, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.Assistant Professor, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.Data envelopment analysis is a set of mathematical programming models based on linear programming which are able to measure the relative efficiency of DMUs. This technique investigates strengths and weaknesses of any DMUs and offers suggestions to improve their efficiency. Most of DEA models require the exact information of inputs and outputs. However, in many real world applications this simple assumption does not hold. Robust optimization is one of recent methods which could handle uncertainty in data. In this paper, a branch of robust optimization whcih is called robust optimization based on convex sets is applied to develop robust DEA model which is capable to handle uncertainty in input data. We present a new method which incorporates the robust counterpart of super-efficiency DEA. The perturbation and uncertainty in data is assumed as polyhedral set and the robust super-efficiency DEA model is extended. The proposed model is used to evaluate the performance and ranking of Iranian ports. The results indicate that the robust DEA approach can be a relatively more reliable method for efficiency estimating and ranking strategies in compare to traditional DEA models.https://www.behboodmodiriat.ir/article_42903_fc4fa657d36e78fe6f59803de77deabc.pdfport evaluationlogistics managementdata envelopment analysisrobust optimizationranking |
| spellingShingle | Amir Hossein Sadeqian Mir Saman Pishvaee Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data بهبود مدیریت port evaluation logistics management data envelopment analysis robust optimization ranking |
| title | Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data |
| title_full | Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data |
| title_fullStr | Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data |
| title_full_unstemmed | Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data |
| title_short | Performance Evaluation of Iranian Ports Using Data Envelopment Analysis with Uncertain Data |
| title_sort | performance evaluation of iranian ports using data envelopment analysis with uncertain data |
| topic | port evaluation logistics management data envelopment analysis robust optimization ranking |
| url | https://www.behboodmodiriat.ir/article_42903_fc4fa657d36e78fe6f59803de77deabc.pdf |
| work_keys_str_mv | AT amirhosseinsadeqian performanceevaluationofiranianportsusingdataenvelopmentanalysiswithuncertaindata AT mirsamanpishvaee performanceevaluationofiranianportsusingdataenvelopmentanalysiswithuncertaindata |