This chapter presents a novel approach to production management optimization through fuzzy logic, incorporating human factors across different workforce segments. The study employs a comprehensive survey methodology involving skilled, semi-skilled, and unskilled workers to identify and quantify critical factors affecting production output. Utilizing fuzzy inference systems, this research effectively converts valuable employee insights into actionable production metrics, enabling organizations to make informed decisions and achieve operational success. The methodology addresses uncertainty in human-centric production environments, offering a structured framework for decision making in production management. This chapter effectively showcases how fuzzy logic can be applied in real-world industrial environments. It offers a systematic strategy that significantly optimizes production efficiency by carefully considering workforce dynamics. The results demonstrate the effectiveness of fuzzy logic in modeling complex production variables that depend on human factors and in establishing optimal production scenarios. This research enhances both the theoretical understanding and practical application of fuzzy logic in industrial management, offering valuable insights for production managers and decision-makers.