Papers
8
Total Citations
555
H-Index
5
About
Jorge Arinez is a leading researcher at the intersection of artificial intelligence and advanced manufacturing, with a particular focus on transforming automotive production systems. His work centers on developing intelligent, flexible manufacturing solutions that can adapt to the increasing complexity and demand diversification in modern industry. Arinez’s major contributions include pioneering the concept of Adaptive Buffer Spaces (ABS) for serial production lines and advancing matrix-structured assembly systems that replace traditional conveyors with autonomous mobile robots (AMRs). His most impactful work, “Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook,” has garnered 519 citations, establishing him as a key voice in the field. Arinez has also developed innovative scheduling algorithms, including dynamic programming-based heuristics and Deep Q-Network approaches for matrix systems, and has applied genetic algorithms to reconfigurable assembly layouts. His case studies on first-time quality in automotive paint shops demonstrate his commitment to bridging theoretical advances with real-world industrial applications. Through his research, Arinez is shaping the future of smart, reconfigurable, and AI-driven manufacturing systems.
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