Evaluating the Efficiency of Firms with Negative Data in Multi-Period Systems: An Application to Bank Data
محل انتشار: مجله بین المللی ریاضیات صنعتی، دوره: 9، شماره: 1
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 73
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شناسه ملی سند علمی:
JR_IJIM-9-1_003
تاریخ نمایه سازی: 27 دی 1402
چکیده مقاله:
Data Envelopment Analysis (DEA) is a mathematical technique to evaluate the performance of firms with multiple inputs and outputs. In conventional DEA models, the efficiency scores of Decision Making Units (DMUs) with non-negative inputs and outputs are evaluated in a special period of time. However, in the real world there are situations wherein performance of firms must be evaluated in multiple periods of time while negative data are present; for this matter the current paper proposes an approach for assessing the efficiency of multi-period systems in the presence of positive and negative measures. To illustrate, the average efficiency of firms with some negative measures are calculated in multi-period production systems. The suggested approach utilizes the Semi-Oriented Radial Measure (SORM) model (Emrouznejad et al. \cite{۴}) for incorporating some negative factors (inputs and outputs) and determining the efficiency of multi-period production systems. A real world data set related to banking sector is used to illustrate and clarify the proposed approach.
کلیدواژه ها:
نویسندگان
S. Kordrostami
Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
M. Jahani Sayyad Noveiri
Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran.