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Nojoumi, Kamyar, Saati, Saber, Khoshandam, Leila. (1401). Investigating and Comparing Several Centralized Resource Reallocation Methods. , 10(3), 65-77. doi: 10.30495/ijdea.2022.21499
Kamyar Nojoumi; Saber Saati; Leila Khoshandam. "Investigating and Comparing Several Centralized Resource Reallocation Methods". , 10, 3, 1401, 65-77. doi: 10.30495/ijdea.2022.21499
Nojoumi, Kamyar, Saati, Saber, Khoshandam, Leila. (1401). 'Investigating and Comparing Several Centralized Resource Reallocation Methods', , 10(3), pp. 65-77. doi: 10.30495/ijdea.2022.21499
Nojoumi, Kamyar, Saati, Saber, Khoshandam, Leila. Investigating and Comparing Several Centralized Resource Reallocation Methods. , 1401; 10(3): 65-77. doi: 10.30495/ijdea.2022.21499

Investigating and Comparing Several Centralized Resource Reallocation Methods

International Journal of Data Envelopment Analysis
دوره 10، شماره 3، آبان 2022، صفحه 65-77  XML اصل مقاله (512.16 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.30495/ijdea.2022.21499
نویسندگان
Kamyar Nojoumi1؛ Saber Saati email 2؛ Leila Khoshandam3
1Department of Mathematics, Rasht branch, Islamic Azad University, Rasht, Iran kamyar.nojoumi@gmail.com
2Department of Mathematics, North Tehran branch, Islamic Azad University, Tehran, Iran
3Department of Mathematics, Rasht branch, Islamic Azad University, Rasht, Iran
چکیده
Data envelopment analysis is a non-parametric method based on mathematical programming, which is used to evaluate the performance of a set of decision-making units with multiple homogeneous inputs and outputs. One use of data envelopment analysis is the integration of resources and inputs to create new efficient decision-making units. As a classic research topic in the fields of management and economics, the resource allocation problem has gained extensive attention from many researchers, and a large body of research has been conducted accordingly. The present study investigates some of the proposed methods and models of the allocation problem
کلیدواژه‌ها
Data Envelopment Analysis؛ Centralized Resource Allocation؛ Most Productive Scale Size؛ Efficiency
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