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Vaeezi, Ehsan., Najafi, S. Esmail., Haji Maulana, Seyed Mohammad., Hosseinzadeh Lotfi, Farhad,, Ahadzadeh Namin, Mahnaz.. (1399). Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary. , 6(24), 141-158.
Ehsan. Vaeezi; S. Esmail. Najafi; Seyed Mohammad. Haji Maulana; Farhad, Hosseinzadeh Lotfi; Mahnaz. Ahadzadeh Namin. "Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary". , 6, 24, 1399, 141-158.
Vaeezi, Ehsan., Najafi, S. Esmail., Haji Maulana, Seyed Mohammad., Hosseinzadeh Lotfi, Farhad,, Ahadzadeh Namin, Mahnaz.. (1399). 'Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary', , 6(24), pp. 141-158.
Vaeezi, Ehsan., Najafi, S. Esmail., Haji Maulana, Seyed Mohammad., Hosseinzadeh Lotfi, Farhad,, Ahadzadeh Namin, Mahnaz.. Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary. , 1399; 6(24): 141-158.

Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary

Journal of New Researches in Mathematics
مقاله 13، دوره 6، شماره 24، مهر و آبان 2020، صفحه 141-158  XML اصل مقاله (551.89 K)
نوع مقاله: research paper
نویسندگان
Ehsan. Vaeezi1؛ S. Esmail. Najafi email 2؛ Seyed Mohammad. Haji Maulana3؛ Farhad, Hosseinzadeh Lotfiorcid 4؛ Mahnaz. Ahadzadeh Namin5
1PhD Student in Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.
2Assistant Professor, Department of Industrial Engineering, Islamic Azad University, Science and Research Branch
3Assistant Professor, Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
4Professor, Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
5Department of Mathematics, Ghods City Branch, Islamic Azad University, Tehran, Iran.
چکیده
This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable and undesirable inputs and outputs and utilize the cooperative approach to measure the efficiency of the overall system. Due to the fact that, a conclusion implying only one of these two, optimistic or pessimistic views is one-sided and incomplete, so, in this paper we used the double-frontier to analyze the network. Moreover, a heuristic technique was used to convert non-linear models into linear models. After obtaining the effective and inefficient points of the network, the DMUs are classified into several clusters by the k-means algorithm.Finally, in this article, in order to apply the proposed model a factory producing dairy products with a production area, warehouse premises and a delivery point are simulated. This factory has been regarded as a dynamic network with a time period of 24 intervals. The results of the ranking showed that, the time periods, (10) and (1) were the best and poorest respectively, in context to the efficiency within 24 phases of time.
کلیدواژه‌ها
Network DEA؛ Cooperative approach؛ Clustering؛ k-means algorithm؛ Double-frontier؛ Undesirable outputs
مراجع
[1] A. Kabnurkar, Mathematical Modeling for Data Envelopment Analysis with Fuzzy Restrictions on Weights (Doctoral dissertation, Virginia Tech), (2001). 

 

[2] A. Amirteimoori, and F. Yang, A DEA model for two-stage parallel-series production processes. RAIRO-Operations Research, 48(1), 123-134, (2014).

 

[3] M.N. Kritikos, A full ranking methodology in data envelopment analysis based on a set of dummy decision making units. Expert Systems with Applications, 77, 211-225, (2017).

 

[4] A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444, (1978).

 

[5] R.D. Banker, A. Charnes and W.W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092, (1984).

 

[6] T.  Lee, Y. Zhang and B.H. Jeong, A multi-period output DEA model with consistent time lag effects. Computers & Industrial Engineering, 93, 267-274, (2016).

 

[7] R. Fare and S. Grosskopf, Network DEA, Socio Economics Planning Science, Vol. 4, No. 1, pp. 35–49, (2000).

 

[8] H. Fukuyama and W.L. Weber, A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega, 38(5), 398-409, (2010).

 

[9] C. Kao, Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research. 192 (3): 949-962, (2009).

 

[10] S. Shahriari, A Network Data Envelopment Analysis (NDEA) Model to evaluate firm’s Strategic Entrepreneurship. (Unpublished doctoral dissertation). Tehran University, Tehran, Iran, (2013).

 

[11] W.D. Cook, J. Zhu, G. Bi, and F. Yang, Network DEA: Additive efficiency decomposition. European journal of operational research, 207(2), 1122-1129, (2010).

 

[12] Q. An, M. Yang, J. Chu, J. Wu and Q. Zhu, Efficiency evaluation of an interactive system by data envelopment analysis approach. Computers & Industrial Engineering, 103, 17-25, (2017).

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