Efficient DMUs Improvement Based on Input Expenses Reduction Through Using Data Envelopment Analysis

Nowadays the main purpose in the models designed by Data Envelopment Analysis (DEA) is to improve the obtained outputs. In this method, which is expressed by Khodabakhshi, with an output-oriented BCC model, the output increases when the input increases. In this article we will discuss the efficient Decision Making Units (DMUs) in the input-oriented BCC model to reduce the input expenses significantly and wing the reduction of the produced outputs. Models are recommended based on DEA using turn-over with a constant return to scale to make efficient DMUs rival their references and reduce the input expenses to the level they can excel their reference DMUs. The model is efficient for DMUs with discretionary and non-discretionary inputs. Finally, numerical examples are presented to demonstrate the approach.