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Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis

Publish Year: 1391
Type: Journal paper
Language: English
View: 139

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Document National Code:

JR_RIEJ-1-1_003

Index date: 4 April 2022

Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis abstract

Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents an efficient frontier composed by DMUs in a specific performance level. Context-dependent DEA measures the attractiveness and the progress for each DMU. Current paper extends the context-dependent DEA by ranking all units on the basis of attractiveness and progress measures. The method is applied to measure the attractiveness and progress of 49 bank branches, and ranking them with Context-dependent DEA.

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Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis authors

H. Bagherzadeh Valami

Department of mathematics, shahr-e-ray Branch, Islamic Azad University, Tehran, Iran

S.E. Najafi

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

B. Farajollahzadeh

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran