The main purpose of this study is to explain the methodology of Data Envelopment Analysis (DEA), which is a linear programming based
non-parametric method to analyze the comparative efficiency of an operation. Two different output-oriented DEA models (Constant Return
to Scale and Variable Return to Scale) are applied to a data set to investigate the Turkey’s mining and quarrying industry’s technical efficiency
between the years of 2003-2017 and result are shown and interpreted.
In addition, possible improvements for the inefficient years to be considered as efficient are also given. The data used in this study is
obtained from Turkish Statistical Institute’s database and DEA applied via an online solver at (www.deaos.com). The input data that is used for
the analysis was average salary of the workers and purchase of goods and services, while the only output was total production.