inFACTS Analytics

inFACTS Analytics is a powerful web-based tool designed for knowledge discovery in multi-criteria decision support. It enables users to extract meaningful insights from real-world data and simulation models, helping them analyze vast datasets, uncover patterns, and optimize system performance across various domains.

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By leveraging advanced data analysis and visualization techniques, inFACTS Analytics helps identify relationships within multi-objective datasets, supporting process optimization, system reconfiguration, and strategic decision-making. The tool has been applied in manufacturing, ergonomics, and simulation-based optimization, allowing users to explore trade-offs between competing objectives such as productivity, efficiency, and worker well-being.

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As a decision-support tool, Mimer facilitates systematic analysis of large datasets, aiding users in understanding key performance drivers, evaluating alternative solutions, and improving overall decision-making quality. Whether applied to reconfigurable manufacturing systems, knowledge-driven optimization, or other complex decision environments, inFACTS Analytics helps researchers and industry professionals make more informed, data-driven choices.