Wenbin Gu

Papers

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About

Wenbin Gu is a researcher focused on intelligent manufacturing and logistics systems, with key contributions in scheduling optimization for automated material handling. His work addresses critical challenges in flexible manufacturing systems (FMS) and warehousing operations, particularly through bio-inspired and coordinated scheduling approaches. Gu’s most cited paper, “A bio-inspired scheduling approach for machines and automated guided vehicles in flexible manufacturing system using hormone secretion principle” (2020, 11 citations), introduces a novel algorithm that mimics biological hormone secretion to improve product quality and production efficiency by optimizing the coordination between machines and automated guided vehicles. This work demonstrates how nature-inspired computing can enhance computer-managed material transportation systems. More recently, Gu has tackled complex coordination problems in zero-wait warehousing systems, as seen in his 2025 paper on Rail Guided Vehicles (RGVs) and Air Sorting Robots (ASRs). This research addresses critical issues of conflict and deadlock resolution in high-throughput logistics environments, such as salt warehouses, where finite buffers and increasing task volumes demand efficient, conflict-free scheduling. Gu’s work bridges theoretical optimization with practical industrial applications, offering solutions that improve throughput and reduce operational bottlenecks in automated systems.