The cement industry is a notable contributor to carbon dioxide emissions, primarily due to raw material calcination and fuel combustion for clinker production. This study addresses the challenge of optimizing fuel mix in cement plants, focusing on environmental considerations and cost-effectiveness amidst industry dynamism. Agile decision-making is crucial due to volatile fuel prices, market fluctuations, evolving emission regulations, and carbon dioxide certificate price variations. To establish a solid foundation, information from authoritative sources is gathered, and specific exemplary plant data is examined. A tailored software tool utilizing optimization algorithms is developed to determine the optimal fuel mix and enhance alternative fuel utilization in German cement plants. The optimization itself is based on the Generalized Reduced Gradient (GRG) algorithm, where the tool collaborates with users, respecting predefined settings and constraints. This collaborative approach aims to pinpoint optimal solutions for the given parameters and criteria. The discerned trends highlight the effectiveness of the optimization approach with a price target, showing notable increases in alternative fuel usage, reductions in total fuel costs, and decreases in carbon dioxide emissions.