Malick Ndiaye

Papers

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About

Dr. Malick Ndiaye is a distinguished researcher whose work bridges the critical intersection of industrial process optimization and modern logistics. His primary research areas include manufacturing quality control, autonomous delivery systems, and supply chain efficiency. Dr. Ndiaye’s major contributions are twofold: first, he pioneered the application of Taguchi robust design to manual spray painting processes, demonstrating that statistical methods can significantly enhance surface quality even without expensive robotic automation—a finding with profound implications for cost-sensitive manufacturing. His second landmark contribution lies in reimagining last-mile delivery logistics, where he introduced a novel classification for autonomous vehicle delivery systems and formulated the Traveling Salesman Problem with a Moving Depot, addressing the unique challenges of e-commerce distribution. His most cited work, "Manual spray painting process optimization using Taguchi robust design" (13 citations), showcases his ability to apply rigorous statistical methods to practical industrial challenges, while his paper on autonomous delivery systems (11 citations) has influenced emerging research in urban logistics. Dr. Ndiaye’s work stands out for its practical relevance, offering scalable solutions that balance quality improvement with economic feasibility, making him a valuable voice in both manufacturing and transportation research communities.