Industrial Engineering and Strategic Management

The present research aimed to evaluate the performance of different units of Shazand Oil Refinery using Andersen and Petersen’s approach to data envelopment analysis (AP-DEA). The research objective was decision-making in a centralized condition without uncertainty. In fact, the overall objective was to achieve a deeper insight into the relative efficiency of decision-making units (DMUs) in 2022. The superiority of AP-DEA compared to base models lies in its comprehensive rating of the units under assessment in a way that only one unit is identified as delivering the highest performance. Data were collected through desk studies and data analysis was conducted through mathematical modeling (linear programming). Data from organizational records and their analysis suggested that the highest efficiency weight (9.9069) in 2022 was related to the gasoline purification unit. It should be noted that all calculations and solving mathematical models were done with the help of MATLAB software. Also, the managers of the studied refinery can use the obtained results to improve their performance in the future.