This paper presents a case study on using an advanced Fuzzy LogicFuzzy logic control system to optimize the alumina calcinationAlumina calcination process. Existing control methods, which struggle with complex air flowAir flow dynamics, result in high temperature variations and excessive fuel consumption. The new Fuzzy LogicFuzzy logic system was developed to overcome these limitations by using empirical rules to process concepts like “very high temperature” and “slow heating,” much like an experienced operator would. Fuzzy LogicFuzzy logic is an extension of Boolean logic that allows for the representation of the concept of partial truth, where values are defined on a continuum between “completely false” (0) and “completely true” (1). This approach facilitates the modelingModeling of control systems by enabling human linguistic concepts, such as “few,” “a lot,” “more or less,” “high,” and “low,” to be represented through fuzzy sets. This capability is particularly valuable in control systems where deterministic mathematical modelsMathematical models fail to operate efficiently, primarily due to insufficient or imprecise data. The implementation of this technology led to significant improvements. It reduced the variability of calcination temperatureCalcination temperature by 42% and bottom temperature variability by 73%. This stabilization also allowed for a 25% reduction in excess air, which resulted in substantial fuel savings and improved product qualityQuality. In conclusion, the study demonstrates that Fuzzy LogicFuzzy logic is a highly effective solution for stabilizing complex industrial operations, leading to economic gains and enhanced productivity.