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About

Amir Pirayesh is a leading researcher in the field of human-robot collaboration and manufacturing systems optimization. His work centers on the integration of collaborative robots (cobots) into assembly lines, with a strong emphasis on balancing productivity with human well-being. Pirayesh’s major contributions include developing novel optimization models that account for workforce diversity and physical workload, ensuring that automation enhances rather than replaces human labor. His most cited paper, "Collaborative robots in manufacturing and assembly systems: literature review and future research agenda" (2023), has garnered 187 citations, establishing a foundational roadmap for the field. He further advanced the discipline with his work on the Collaborative Assembly Line Balancing (C-ALB) optimization model (2022, 24 citations) and the Integrated Resource Optimization in a Multi-Product Separated Line Collaborative Assembly Line Balancing Problem (2023, 13 citations). These studies address critical challenges in modern manufacturing, such as customization, flexibility, and job security. Pirayesh’s research is pivotal for students and practitioners seeking to design efficient, human-centric automated systems, making him a key voice in the future of smart manufacturing.