Description: Judgment-Based Optimization is an approach that focuses on the experience and knowledge of experts rather than relying solely on mathematical methods or complex algorithms. This approach is particularly useful in situations where data is scarce, uncertain, or difficult to quantify. By gathering opinions and evaluations from experts, the aim is to identify optimal solutions or improve existing processes. Judgment-Based Optimization allows for the integration of intuition and common sense in decision-making, which can be crucial in various fields. This method is characterized by its flexibility and adaptability, as it can be tailored to different contexts and specific needs. Additionally, it encourages collaboration among multidisciplinary teams, enriching the optimization process by incorporating diverse perspectives and experiences. In a world where data is increasingly abundant, Judgment-Based Optimization emerges as a valuable tool to complement quantitative approaches, ensuring that decisions are based not only on numbers but also on the deep knowledge of subject matter experts.
