Pingyuan Wang
Papers
3
Total Citations
23
H-Index
2
About
Pingyuan Wang is a researcher in industrial and manufacturing engineering, with a focus on reconfigurable robotic assembly systems and production optimization. Their work addresses critical challenges in modern manufacturing, particularly the design of flexible assembly lines that can scale capacity to meet fluctuating demand. Wang’s most cited paper, “Configuration design of reconfigurable single-product robotic assembly line for capacity scalability” (2023, 15 citations), introduces novel frameworks for adapting robotic lines without full reconfiguration, enabling cost-effective scalability. A complementary study on “Hybrid particle swarm optimization algorithms for cost-oriented robotic assembly line balancing problems” (2023, 6 citations) advances metaheuristic solutions for minimizing operational costs in robotic assembly, bridging a gap in exact and heuristic methods. Wang’s contributions are significant for industries seeking agile, efficient production systems, with cumulative citations reflecting growing interest in reconfigurable manufacturing. Their work is particularly relevant for researchers and practitioners in automation, operations research, and smart manufacturing, offering practical tools for balancing cost, flexibility, and throughput in robotic environments.
Research Focus
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Top Papers
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