Max Robotics — Global Service Robot Directory + US Certification

About

Moutaz Khouja is a leading authority in operations research and manufacturing systems, best known for pioneering the application of data envelopment analysis (DEA) to technology selection—his seminal 1995 paper on this topic has garnered 223 citations, establishing a foundational methodology for evaluating competing technologies. His primary research focuses on the industrial robot selection problem (RSP), where he has made transformative contributions over three decades. Khouja’s work addresses the critical challenge manufacturers face when choosing among hundreds of robot models with varying performance and cost parameters. He developed robust statistical procedures, including fuzzy clustering algorithms and multivariate analysis, to evaluate and select robots under uncertainty—his 1992 paper on robust multivariate procedures (45 citations) and his 1994 comprehensive literature review (41 citations) remain essential references in the field. Khouja also introduced innovative approaches that treat robot performance parameters as options in dynamic environments, accounting for changing product designs and evolving technology. His 2000 paper on task assignment and robot selection in assembly cells (27 citations) demonstrates how statistical methods can optimize both robot choice and task allocation simultaneously. Through his rigorous decision models and multi-criteria frameworks, Khouja has equipped engineers and managers with practical tools to navigate complex manufacturing technology investments, making him a highly influential figure in industrial engineering and operations management.