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A Novel Multi-Sector, Multi-Period DEA Framework for Evaluating Bank Branch Efficiency | ||
| Advances in Industrial Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 04 بهمن 1404 | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/aie.2026.405941.1960 | ||
| نویسندگان | ||
| Moslem Nilchi* 1؛ Seyed Hossein Razavi Hajiagha2 | ||
| 1Assistant Prof, Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran. | ||
| 2Department of Management, Khatam University, Tehran, Iran | ||
| چکیده | ||
| From an economic perspective, efficiency refers to the optimal use of resources to produce the maximum possible output, highlighting its critical role in management systems. Managers generally strive to utilize resources effectively to maximize outputs and satisfy all stakeholders. This is particularly important in the Iranian banking industry, where high costs of fund maintenance make efficiency a central concern. In this study, considering the operational structure of Iranian banks, a five-sector model is proposed to illustrate the flow of activities within banks. Based on this structure, a mathematical model using Data Envelopment Analysis (DEA) is developed to evaluate the efficiency of the five sectors. A fuzzy-based approach is then introduced to solve the model. Application of the proposed model to 210 branches of a major Iranian bank indicates that, while the Services and Mobilization of Resources sectors demonstrate relatively high efficiency, the Management sector suffers from significant inefficiency. These findings highlight the need for focused managerial interventions to enhance operational performance in bank branches. | ||
| کلیدواژهها | ||
| Relative Efficiency؛ Data Envelopment Analysis (DEA)؛ Multi-Sector Model؛ Multi-Period Model؛ Fuzzy Algorithm | ||
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آمار تعداد مشاهده مقاله: 82 |
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