Weimin Jing

Papers

Total Citations

H-Index

About

Weimin Jing is a prominent researcher in intelligent manufacturing and service-oriented industrial systems, with a focus on cloud-edge collaboration and flexible manufacturing services. Their most-cited work, "Cloud-edge collaboration composition and scheduling for flexible manufacturing service with a multi-population co-evolutionary algorithm" (2024), has already garnered 15 citations, underscoring its timely impact. Jing’s major contributions lie in developing advanced computational methods—specifically multi-population co-evolutionary algorithms—to optimize the composition and scheduling of manufacturing services across cloud and edge environments. This work addresses critical challenges in real-time decision-making, resource allocation, and scalability in smart factories. By bridging cloud-edge architectures with flexible manufacturing, Jing enables more adaptive, efficient, and resilient production systems. Their research is widely recognized for its practical relevance, offering solutions that enhance operational agility and reduce latency in distributed manufacturing networks. Jing’s achievements highlight a commitment to advancing Industry 4.0 paradigms, making their work essential reading for researchers and engineers in cyber-physical production systems, evolutionary computation, and service-oriented manufacturing.