A Aravind Karthikeyan
Papers
1
Total Citations
15
H-Index
1
About
A. Aravind Karthikeyan is a researcher whose work bridges the domains of manufacturing systems and computational optimization. His key research area focuses on the application of genetic algorithms to solve complex scheduling problems, particularly in flexible manufacturing cells (FMCs) with setup constraints. His most-cited paper, "A genetic algorithm-based scheduler for setup-constrained FMC" (1998), with 15 citations, represents a foundational contribution to the field. In this work, Karthikeyan developed a novel genetic algorithm approach that efficiently addresses the challenge of minimizing setup times and maximizing throughput in automated manufacturing environments. This contribution is notable for its practical relevance, offering a robust solution to a real-world industrial problem that had previously been tackled with less adaptive methods. By integrating evolutionary computation with production scheduling, Karthikeyan demonstrated how metaheuristic algorithms can outperform traditional heuristics, paving the way for more intelligent and flexible manufacturing systems. His work is particularly valuable for students and researchers interested in the intersection of artificial intelligence and industrial engineering, showcasing how computational intelligence can drive efficiency in resource-constrained production settings.
Research Focus
Key Achievements
Top Papers
- 1A genetic algorithm-based scheduler for setup-constrained FMC15 citations · 1998