Performance monitoring has a crucial role in determining the direction of development and progress of an industrial production unit overtime. For this reason, it is important to establish a system to monitor and synthesize the main parameters that affect performance: Productivity, Quality and Safety. In this study, a multi-criteria methodology of evaluation of the industrial performance in a production unit, it passes by a quantification of the indicators (criteria) chosen and is based on a multi-criteria aggregation. The industrial performance has been evaluated - on a real case - using two approaches: The Analytical Hierarchy Process (AHP) and the Fuzzy Logic System for Multi-Criteria Decision Making (MCDM). The comparison between these two approaches and the limits of use of each approach through the specific results obtained allowed to adopt the most reliable and appropriate weighting method. The important task of the proposed models in this study is to determine the numerical score assigned to each year based on the performance parameters. This study presents a comparative analysis of these two studies, illustrated by a case study of the performance of an industrial plant, in order to choose the most appropriate one.