Sensitivity Analysis of Inefficient Decision-Making Units in Data Envelopment Analysis (DEA) with a Focus on Boilers: A Case Study

Abstract

This paper focuses on the sensitivity analysis of inefficient Decision-Making Units (DMUs) in Data Envelopment Analysis (DEA), particularly on boilers. The main objective of this study is to identify and evaluate the efficiency of boilers across various industries and to propose a modified model for their sensitivity analysis. Boiler performance criteria are inputs and outputs, and a case study is presented within an industrial plant. The paper introduces an enhanced DEA-based model to assess the sensitivity of inefficient boilers. The proposed model determines the instability radius of boilers concerning changes in inputs and outputs. Employing managerial coefficients offers greater flexibility in adapting strategies. A case study is implemented in a power plant.