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Soltanifar, Mehdi, SHarafi, Hamid, Zargar, Seyyed Mohammad, Homayounfar, Mehdi. (1400). Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs. , 7(32), 35-58.
Mehdi Soltanifar; Hamid SHarafi; Seyyed Mohammad Zargar; Mehdi Homayounfar. "Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs". , 7, 32, 1400, 35-58.
Soltanifar, Mehdi, SHarafi, Hamid, Zargar, Seyyed Mohammad, Homayounfar, Mehdi. (1400). 'Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs', , 7(32), pp. 35-58.
Soltanifar, Mehdi, SHarafi, Hamid, Zargar, Seyyed Mohammad, Homayounfar, Mehdi. Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs. , 1400; 7(32): 35-58.

Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs

Journal of New Researches in Mathematics
مقاله 4، دوره 7، شماره 32، بهمن و اسفند 2021، صفحه 35-58  XML اصل مقاله (473.11 K)
نوع مقاله: research paper
نویسندگان
Mehdi Soltanifar email orcid 1؛ Hamid SHarafi2؛ Seyyed Mohammad Zargar3؛ Mehdi Homayounfar4
1Islamic Azad Univwrsity, Semnan Branch, Semnan, Iran.
2Graduated in Applied Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
3Assistant Professor, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran.
4Assistant Professor, Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran
چکیده
Data envelopment analysis is a linear programming-based approach used to evaluate the relative performance of decision making units (DMU's) that perform the same tasks with multiple inputs and multiple outputs. Due to the optimistic view of the DEA in evaluating the performance of homogeneous decision making units, multiple units with a maximum relative efficiency score (equal to unit) are highly likely. Therefore, ranking models were presented to distinguish between efficient units. Cross efficiency evaluation is one of the most useful tools for ranking DMUs in data envelopment analysis. This model has two major flaws in implementation. First, it yields different results in the presence of optimal alternatives; and second, there is no compelling reason to use the arithmetic mean to integrate the cross-performance matrix results. In this paper, a new approach, inspired by the preferential voting process and the idea proposed in the TOPSIS method, is presented to combine cross-performance results in the presence of undesirable outputs. The results are then used to rank suppliers in the presence of undesirable outputs.
کلیدواژه‌ها
Data Envelopment Analysis؛ Cross Efficiency Evaluation؛ Preferential Voting؛ undesirable Outputs؛ TOPSIS Method
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