P. Aravindan

National Institute of Technology Tiruchirappalli

Papers

Total Citations

H-Index

About

P. Aravindan is a researcher in manufacturing systems and optimization, with a focus on flexible manufacturing cells (FMCs) and scheduling under real-world constraints. His most cited work, "A genetic algorithm-based scheduler for setup-constrained FMC" (1998, 15 citations), introduces a novel approach to minimizing setup times in automated production environments by leveraging evolutionary computation. This contribution addresses a critical bottleneck in FMC efficiency, offering a practical solution that balances computational complexity with industrial applicability. Aravindan’s research integrates artificial intelligence techniques with operations management, demonstrating how genetic algorithms can adaptively optimize resource allocation and sequencing in dynamic manufacturing settings. His work has informed subsequent studies in production scheduling, particularly in contexts where setup dependencies and tool constraints limit throughput. While his citation count reflects a focused impact within specialized engineering domains, his methodology remains relevant for researchers exploring hybrid optimization methods in Industry 4.0 and smart manufacturing. Aravindan’s contributions underscore the value of bridging algorithmic innovation with tangible industrial challenges, making his research a reference point for those seeking to improve productivity in constrained production systems.