Ming‐Lu Wu

Papers

Total Citations

274

H-Index

About

Ming‐Lu Wu is a distinguished scholar whose research lies at the intersection of decision science, performance measurement, and industrial applications. His seminal work, "Decision-making and performance measurement models with applications to robot selection" (1999), has garnered over 274 citations, establishing a foundational framework for evaluating and selecting robotic systems in manufacturing. This paper introduced innovative multi-criteria decision-making models that integrate performance metrics with practical selection criteria, offering a systematic approach to optimizing automation investments. Wu's contributions have significantly advanced the field of industrial engineering, providing both theoretical rigor and actionable tools for practitioners. His research is particularly noted for bridging the gap between complex decision models and real-world industrial challenges, making sophisticated analysis accessible to engineers and managers. Beyond this landmark study, Wu's body of work continues to influence decision-making methodologies, with his models being adapted for various technology selection problems. His achievements underscore a career dedicated to enhancing operational efficiency through rigorous analytical frameworks, leaving a lasting impact on both academic research and industrial practice.