A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method
So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (DMUs)” through “Data Envelopment Analysis (DEA)” and “Network Data Envelopment Analysis (NDEA)” models in different places, but most of these studies have measured the performance of DMUs by efficienc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2021-06-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/article-1-983-en.html |
| _version_ | 1818984905937256448 |
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| author | jafar Esmaeeli Maghsoud Amiri Houshang taghizadeh |
| author_facet | jafar Esmaeeli Maghsoud Amiri Houshang taghizadeh |
| author_sort | jafar Esmaeeli |
| collection | DOAJ |
| description | So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (DMUs)” through “Data Envelopment Analysis (DEA)” and “Network Data Envelopment Analysis (NDEA)” models in different places, but most of these studies have measured the performance of DMUs by efficiency criteria. The productivity is considered as a key factor in the success and development of DMUs and its evaluation is more comprehensive than efficiency evaluation. Recently, studies have been developed to evaluate the productivity of DMUs through the mentioned models but firstly, the number of these studies especially in NDEA models is scarce, and secondly, productivity in these studies is often evaluated through the “productivity indexes”. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. So, the purpose of this study is to develop a new approach in the NDEA models using “Multi-Objective Programming (MOP)” method in order to measure productivity of DMUs through efficiency and effectiveness “simultaneously, in one stage, in a period, and interdependently”. “Simultaneous and single-stage” study provides the advantage of sensitivity analysis in the model. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that it is possible for a branch to be efficient by considering its subdivisions separately but not be efficient by considering the conjunction between its subdivisions. In addition, a branch may be efficient by considering the conjunction between its subdivisions but not be productive. Efficient branches are not necessarily productive, but productive branches are also efficient. |
| first_indexed | 2024-12-20T18:26:26Z |
| format | Article |
| id | doaj.art-1795ca11818f4a81912279e142d97833 |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-12-20T18:26:26Z |
| publishDate | 2021-06-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-1795ca11818f4a81912279e142d978332022-12-21T19:30:07ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2021-06-0132200A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming methodjafar Esmaeeli0Maghsoud Amiri1Houshang taghizadeh2 Department of Industrial Management, Faculty of Management and economics and Accounting, Islamic Azad University, Tbriz Branch, Iran Professor, Industrial Management Department, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran Department of Industrial Management, Faculty of Management and economics and Accounting, Islamic Azad University, Tbriz Branch, Iran, So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (DMUs)” through “Data Envelopment Analysis (DEA)” and “Network Data Envelopment Analysis (NDEA)” models in different places, but most of these studies have measured the performance of DMUs by efficiency criteria. The productivity is considered as a key factor in the success and development of DMUs and its evaluation is more comprehensive than efficiency evaluation. Recently, studies have been developed to evaluate the productivity of DMUs through the mentioned models but firstly, the number of these studies especially in NDEA models is scarce, and secondly, productivity in these studies is often evaluated through the “productivity indexes”. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. So, the purpose of this study is to develop a new approach in the NDEA models using “Multi-Objective Programming (MOP)” method in order to measure productivity of DMUs through efficiency and effectiveness “simultaneously, in one stage, in a period, and interdependently”. “Simultaneous and single-stage” study provides the advantage of sensitivity analysis in the model. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that it is possible for a branch to be efficient by considering its subdivisions separately but not be efficient by considering the conjunction between its subdivisions. In addition, a branch may be efficient by considering the conjunction between its subdivisions but not be productive. Efficient branches are not necessarily productive, but productive branches are also efficient.http://ijiepr.iust.ac.ir/article-1-983-en.htmlproductivityeffectivenessefficiencyproductivity indexesnetwork deamulti-objective programming |
| spellingShingle | jafar Esmaeeli Maghsoud Amiri Houshang taghizadeh A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method International Journal of Industrial Engineering and Production Research productivity effectiveness efficiency productivity indexes network dea multi-objective programming |
| title | A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method |
| title_full | A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method |
| title_fullStr | A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method |
| title_full_unstemmed | A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method |
| title_short | A new approach in the network DEA models for measurement of productivity of decision-making units using multi-objective programming method |
| title_sort | new approach in the network dea models for measurement of productivity of decision making units using multi objective programming method |
| topic | productivity effectiveness efficiency productivity indexes network dea multi-objective programming |
| url | http://ijiepr.iust.ac.ir/article-1-983-en.html |
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