A directional model to evaluate the processes without explicit inputs in the presence of undesirable outputs: a case study on Covid-۱۹
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 285
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شناسه ملی سند علمی:
ICIORS14_076
تاریخ نمایه سازی: 12 دی 1400
چکیده مقاله:
In the real world, sometimes processes do not have explicit inputs. So, focused on outputs of processes is much more. The present paper introduces a model to evaluate the performance of processes without explicit inputs consist of desirable and undesirable outputs based on the data envelopment analysis approach. In the proposed model, the directional distance function by considering the weak disposability assumption for undesirable outputs is used. Also, to illustrate this new approach, a case study is applied on Covid-۱۹ pandemic.
کلیدواژه ها:
Data envelopment analysis ، Processes without explicit inputs ، Undesirable outputs ، Weak disposability assumption ، Directional distance function.
نویسندگان
Alireza Amirteimoori
Department of Applied Mathematics, Islamic Azad University, Rasht branch, Rasht, Iran
Maryeh Nematizadeh
Department of Applied Mathematics, Islamic Azad University, Rasht branch, Rasht, Iran
Maryam Nematizadeh
Department of Applied Mathematics, Islamic Azad University, Rasht branch, Rasht, Iran