Max Robotics — Global Service Robot Directory + US Certification

About

Bahareh Vaisi is a researcher specializing in robotic manufacturing systems, optimization modeling, and scheduling under uncertainty — areas that sit at the intersection of industrial engineering and the emerging landscape of Industry 4.0. Her most influential contribution, a 2022 review paper on optimization models in robotic manufacturing systems (58 citations), provides a comprehensive analysis of recent developments in robotic cell problems, examining configurations involving robots as material handling devices alongside human or autonomous co-workers. This work has quickly established itself as a key reference for researchers navigating the rapidly evolving field of intelligent manufacturing. Vaisi's broader research portfolio demonstrates a sustained focus on robotic cell sequencing and scheduling under real-world disruptions such as machine breakdowns, uncertain cycle times, and repair intervals. Her work on two- and three-machine robotic cells addresses both identical and mixed-part production scenarios, developing mathematical programming models and metaheuristic approaches to simultaneously minimize cycle time and operational costs. Papers published in 2018 and 2020 tackle bi-criteria and multi-objective scheduling problems, reflecting her commitment to practical, robust solutions. Collectively, her contributions provide valuable frameworks for researchers and engineers seeking to optimize complex robotic manufacturing environments under uncertainty.