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Gholiha, Ali mohammad, Hosseinzadeh Lotfi, Farhad, Shahriari, Mohammadreza, Vaez-Ghasemi, Mohsen. (1399). Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs. , 6(27), 5-16.
Ali mohammad Gholiha; Farhad Hosseinzadeh Lotfi; Mohammadreza Shahriari; Mohsen Vaez-Ghasemi. "Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs". , 6, 27, 1399, 5-16.
Gholiha, Ali mohammad, Hosseinzadeh Lotfi, Farhad, Shahriari, Mohammadreza, Vaez-Ghasemi, Mohsen. (1399). 'Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs', , 6(27), pp. 5-16.
Gholiha, Ali mohammad, Hosseinzadeh Lotfi, Farhad, Shahriari, Mohammadreza, Vaez-Ghasemi, Mohsen. Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs. , 1399; 6(27): 5-16.

Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs

Journal of New Researches in Mathematics
مقاله 1، دوره 6، شماره 27، بهمن و اسفند 2020، صفحه 5-16  XML اصل مقاله (2.49 M)
نوع مقاله: research paper
نویسندگان
Ali mohammad Gholiha1؛ Farhad Hosseinzadeh Lotfi email orcid 2؛ Mohammadreza Shahriariorcid 3؛ Mohsen Vaez-Ghasemi4
1Department of Industrial Management, UAE Branch, Islamic Azad University
2Department of mathematics, IUA, SRB
3Faculty member of Islamic Azad University, South Tehran Branch
4Department of Mathematics, Rasht Branch, Islamic Azad University, Gilan, Iran.
چکیده
The relative efficiency of a set of decision makers with multiple inputs and outputs is obtained by analyzing data coverage. One of the main assumptions of the classic models of data envelopment analysis is to consider each decision maker as a black box. Also, the independence of inputs and outputs is relative to each other. In this paper, the performance of subway stations in Tehran is determined by considering the two stage network structure in which the first stage indicates efficiency and the second stage demonstrates its effectiveness, and then, with regard to the presence of indicators, the input depends on In the first and second stages, the two stage models were modified and the resulting model was used for 71 metro stations in Tehran, and finally, 3 effective stations and 2 stations were effective. In total, of the 71 stations, no one of the metro stations have been operating efficiently.
کلیدواژه‌ها
Efficiency؛ Effectiveness؛ Two-step؛ Data Envelopment Analysis؛ Dependent Inputs and Outputs
مراجع

]1[ جعفریان مقدم، احمدرضا و فتحعلی، مسعود (1387) انتخاب راه آهن­های برتر دنیا در زمینه حمل و نقل کالا جهت الگو برداری برای راه آهن ایران با استفاده از روش تحلیل پوششی داده­ها (DEA) و روش تحلیل سلسله مراتبی (AHP)، مجموعه مقالات دهمین همایش حمل و نقل ریلی.

 

]2[ موحدی، محمدمهدی و حسینی، سید محی­الدین (1389) "تعیین و رتبه­بندی کارآیی نواحی مختلف راه آهن جمهوری اسلامی ایران با استفاده از تحلیل پوششی داده­ها"، مجله ریاضیات کاربردی واحد لاهیجان، بهار 1389. 49-64.

 

[3] Charnes, A., Cooper, W.W., Rhodes, E.L., 1978. Measuring the efficiency of decision making units. European Journal of Operational Research 2, 429–444.

 

[4] Färe, R., & Grosskopf, S. (1996). Intertemporal production frontiers: With dynamic DEA. Boston: Kluwer.

 

[5] Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34, 35–49.

 

[6] Jiang, Changbing (2009) "a model of evaluating transportation system efficiency based on data envelopment analysis approach", Second International Symposium on Electronic Commerce and Security.

 

[7] Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185, 418–429.

 

[8] Kao, C., & Hwang, S. N. (2010). Efficiency measurement for network systems: IT impact on firm performance. Decision Support Systems, 48, 437–446.

 

[9] Kao, C. (2017). Network data envelopment analysis: Foundations and extensions. Switzerland: Springer International Publishing.

 

[10] Lipeng, Feng and Guohua, Zhou (2010) "Analysis on the scale of input-output in diversified railway", IEEE.

 

[11] Movahedi, M., Saati, S. and Vahidi, A. R. (2007) "Iranian railway efficiency (1971-2004): An application of DEA", Int. J. Contemp.Math. Sciences, 2 (31), pp.1569-1579.

 

[12] Tone, K., 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130, 498–509.

 

[13] Yu, M. M. and Lin, E. T. (2008) “Efficiency and effectiveness in railway performance using a multi-activity network DEA model”, Omega, 36(6), pp.1005-1017.

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