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Torkavannejad, Mahsa, Daneshian, Behrouz, Tohidi, Ghasem, Maghbouli, Mahnaz, Modarres Khiyabani, Farzin. (1401). Evaluating Decision Making Units with Multi-Periodic Data Using DEA-R Models. , (), -. doi: 10.30495/jnrm.2023.65511.2210
Mahsa Torkavannejad; Behrouz Daneshian; Ghasem Tohidi; Mahnaz Maghbouli; Farzin Modarres Khiyabani. "Evaluating Decision Making Units with Multi-Periodic Data Using DEA-R Models". , , , 1401, -. doi: 10.30495/jnrm.2023.65511.2210
Torkavannejad, Mahsa, Daneshian, Behrouz, Tohidi, Ghasem, Maghbouli, Mahnaz, Modarres Khiyabani, Farzin. (1401). 'Evaluating Decision Making Units with Multi-Periodic Data Using DEA-R Models', , (), pp. -. doi: 10.30495/jnrm.2023.65511.2210
Torkavannejad, Mahsa, Daneshian, Behrouz, Tohidi, Ghasem, Maghbouli, Mahnaz, Modarres Khiyabani, Farzin. Evaluating Decision Making Units with Multi-Periodic Data Using DEA-R Models. , 1401; (): -. doi: 10.30495/jnrm.2023.65511.2210

Evaluating Decision Making Units with Multi-Periodic Data Using DEA-R Models

Journal of New Researches in Mathematics
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 02 اسفند 1401  XML
نوع مقاله: research paper
شناسه دیجیتال (DOI): 10.30495/jnrm.2023.65511.2210
نویسندگان
Mahsa Torkavannejad1؛ Behrouz Daneshian2؛ Ghasem Tohidi2؛ Mahnaz Maghbouli email orcid 3؛ Farzin Modarres Khiyabani4
1Islamic Azad University, Tabriz Branch, Tabriz, Iran
2Islamic Azad University, Central Tehran Branch, Tehran, Iran
3Islamic Azad University, Aras Branch, , Jolfa, Iran
4Islamic Azad University. Tabriz Branch. Tabriz. Iran
چکیده
In measuring the efficiency of a set of units over a period of time covering multiple periods, models based on the standard DEA technique ignore the status of each unit in each period that causes misleading results. This paper develops DEA-R models in the presence of multi-periodic data in such a way that the proposed method can evaluate the overall efficiency with respect to the overall and periodic efficiencies of all units. By providing a lower bound on the weights derived from periods, the proposed method prioritizes the units for yielding valuable insights that aid decision makers to better understand the findings from a performance evaluation process. The contribution of this paper is fourfold: (1) the overall efficiency calculated from the proposed method depends on the unit performance of all units in all periods, (2) the proposed method determines the overall efficiency by imposing a lower bound obtained from all periods on the weights, (3) this method endowed with a high discriminatory power in differentiating the units which are evaluated as efficient in the existing multi-period models, (4) To elucidate the details of the proposed method, a comparison is made between the existing models in the literature and the proposed multi-period DEA-R method to measure the efficiency of 22 Taiwanese commercial banks for the period of 2009–2011.
کلیدواژه‌ها
Ratio Data Envelopment Analysis(DEA-R)؛ Multi-Periodic Production Process؛ overall efficiency؛ non-zero weights؛ lower bound
آمار
تعداد مشاهده مقاله: 63


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