Georgios Kabouridis

Technological Educational Institute of Western Greece

Papers

Total Citations

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About

Georgios Kabouridis is a researcher at the forefront of intelligent manufacturing and robotics optimization. His work centers on applying genetic algorithms and fuzzy logic to solve complex industrial engineering challenges, particularly in the design and assembly of robotic systems. Kabouridis’s most influential contribution, "Planning the construction process of a robotic arm using a genetic algorithm" (2015, 16 citations), pioneered the use of evolutionary computation to streamline robotic arm fabrication. He further advanced this field with "Genetic-Based Optimization of the Manufacturing Process of a Robotic Arm under Fuzziness" (2018, 5 citations), where he introduced fuzzy logic to model real-world industrial uncertainties—a critical step for practical, robust production planning. By addressing the assembly line balancing problem of type 2 (SALBP-2) under fuzzy conditions, Kabouridis has provided industry with tools to minimize cycle times and enhance efficiency in unpredictable environments. His work bridges theoretical optimization and tangible manufacturing needs, making him a key voice for researchers and engineers seeking to integrate adaptive, AI-driven solutions into modern production systems.