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Khalili-Damghani, Kaveh, Noorzadeh, Farzin, Apornak, ARASH. (1401). Resource allocation problems in data envelopment analysis with ‎simultaneous shared costs and common revenue. , 10(2), 1-12. doi: 10.30495/ijdea.2022.66147.1153
Kaveh Khalili-Damghani; Farzin Noorzadeh; ARASH Apornak. "Resource allocation problems in data envelopment analysis with ‎simultaneous shared costs and common revenue". , 10, 2, 1401, 1-12. doi: 10.30495/ijdea.2022.66147.1153
Khalili-Damghani, Kaveh, Noorzadeh, Farzin, Apornak, ARASH. (1401). 'Resource allocation problems in data envelopment analysis with ‎simultaneous shared costs and common revenue', , 10(2), pp. 1-12. doi: 10.30495/ijdea.2022.66147.1153
Khalili-Damghani, Kaveh, Noorzadeh, Farzin, Apornak, ARASH. Resource allocation problems in data envelopment analysis with ‎simultaneous shared costs and common revenue. , 1401; 10(2): 1-12. doi: 10.30495/ijdea.2022.66147.1153

Resource allocation problems in data envelopment analysis with ‎simultaneous shared costs and common revenue

International Journal of Data Envelopment Analysis
دوره 10، شماره 2، مرداد 2022، صفحه 1-12  XML اصل مقاله (994.69 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.30495/ijdea.2022.66147.1153
نویسندگان
Kaveh Khalili-Damghani email orcid 1؛ Farzin Noorzadeh2؛ ARASH Apornakorcid 3
1Department of Industrial Engineering Faculty of Industrial Engineering South-Tehran Branch Islamic Azad University Tehran, Iran
2Department of Industrial Engineering South Tehran Branch ‎ Islamic Azad University Tehran, Iran
3Department of industrial engineering, University of Tehran
چکیده
Allocating fixed shared cost and common revenue equitably to all decision making units (DMUs) ‎are two interesting issues in resource allocation using data envelopment analysis (DEA). The ‎existing methods have accomplished these distinctively. In this paper, we developed a single ‎dada envelopment analysis (DEA) approach for equitable allocation of shared costs to inputs and ‎common revenue to outputs, concurrently. The main contribution of this research in comparison ‎with existing methods are: 1) both allocation of shared costs to inputs and common revenue to ‎outputs are considered in a single model, simultaneously; 2) The computational efforts has been ‎reduced and no LP required to be solved; 3) simultaneous changes of inputs and outputs have ‎been considered in order to project a DMU towards efficient frontier. A numerical example, ‎adopted form literature, is presented and discussed in order to illustrate the applicability and ‎efficacy of proposed approach. ‎
کلیدواژه‌ها
Data envelopment analysis؛ Resource Allocation؛ Equitable allocation of shared cost؛ Equitable ‎allocation of common revenue؛ Modified Russell model
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