A method to consider Non-Discretionary factors in Data Envelopment Analysis

Document Type: Research articles


Ayatollah Amoli Branch, Islamic Azad University.


The technique for efficiency measurement known as Data Envelopment Analysis (DEA) has been extended to allow on-discretionary inputs that affect production. Several methods exist for measuring efficiency to control these factors in production. This paper review these approaches, providing a discussion of strengths and weaknesses and highlighting potential limitations. In addition, a new approach is developed that overcomes existing weaknesses and it is based on relative importance. To facilitate comparison, a numerical example is used. The results show that the new approach improve existing models and performs relatively well.


Article Title [Persian]


Abstract [Persian]