Kok Choon Tan

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About

Dr. Kok Choon Tan is a leading authority in the design and optimization of automated warehousing and robotic systems, with a particular focus on compact storage and retrieval technologies. His most-cited work, "Robot dispatching problem for compact storage and retrieval systems with dual-command transactions" (2023, 4 citations), addresses a critical operational challenge in modern e-commerce logistics. In this study, Dr. Tan tackles the robot dispatching problem for Robotic Compact Storage and Retrieval Systems (RCSRS)—grid-based systems now widely adopted by online retailers. His major contribution lies in developing strategies that simultaneously reduce robot empty travelling time and minimize workstation idle time, significantly enhancing system throughput and efficiency. This work is notable for its practical relevance, directly supporting the scalability of automated fulfillment centers. Dr. Tan’s research bridges the gap between theoretical optimization and real-world industrial application, making him a key figure in the advancement of intelligent warehouse automation. His findings offer valuable insights for both researchers and practitioners seeking to improve the performance of next-generation logistics systems.