کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6894556 | 1445925 | 2018 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A classification of slacks-based efficiency measures in network data envelopment analysis with an analysis of the properties possessed
ترجمه فارسی عنوان
طبقه بندی اقدامات بازده مبتنی بر اسلکس در تجزیه و تحلیل پوشش شبکه داده ها با تجزیه و تحلیل خواص دارایی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
The slacks-based measure (SBM) is a data envelopment analysis (DEA) technique that has been widely used in measuring the efficiency of a system treated as a whole unit. When the internal structure of a system is considered, different ways of modeling the intermediate products that link the component divisions based on the production possibility set (PPS) have been proposed. The types of PPSs can be classified as independent, relational, and cooperative, and the efficiency of the system can be measured from the viewpoint of either outside peers or inside managers for different purposes. This paper shows that models corresponding to the independent type do not properly describe the relationships between the divisions, and are not suitable for measuring the efficiency of network systems. Models corresponding to the relational type may cause a waste of the intermediate products in the system, and are not suitable for internal evaluations, while they are more persuasive for external evaluations. Those corresponding to the cooperative type are appropriate for both external and internal evaluations, and are able to obtain comparable results. An example is used to illustrate the characteristics of the efficiencies measured from the models corresponding to different types of PPSs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 270, Issue 3, 1 November 2018, Pages 1109-1121
Journal: European Journal of Operational Research - Volume 270, Issue 3, 1 November 2018, Pages 1109-1121
نویسندگان
Chiang Kao,