Zhipeng Tang

Institute of Precision Mechanics, Beijing Wuzi University

Papers

Total Citations

H-Index

About

Zhipeng Tang is a researcher whose work bridges industrial engineering and sustainability, focusing on facility layout optimization and the environmental implications of automation. His early contributions address the facility layout problem (FLP), a critical challenge in manufacturing systems design. In his 2013 paper, he introduced a novel approach using the differential evolution algorithm to optimize facility placement, demonstrating how computational intelligence can enhance production efficiency. This work, with 5 citations, laid a foundation for applying metaheuristics to complex industrial configurations. More recently, Tang has turned to the intersection of artificial intelligence and global sustainability. His 2025 study on industrial robots and embodied carbon flows (4 citations) explores how automation reshapes international supply chains and carbon emissions, offering timely insights into the environmental costs of technological progress. By connecting AI adoption to global carbon dynamics, Tang’s research provides valuable guidance for policymakers and manufacturers aiming to balance productivity with climate goals. His evolving portfolio reflects a commitment to solving real-world problems—from factory floors to global trade networks—making his work relevant for students and researchers interested in sustainable industrial innovation.