معرفی
Guoqing Zhang is a Professor at the University of Windsor's Faculty of Engineering, specializing in operations research, supply chain management, and blockchain technologies. His research focuses on optimizing logistics systems, sustainable closed-loop supply chains, and strategic decision-making under hybrid carbon policies. Notably, he led a team that won the 2015 CORS National Conference's First Practice Prize for developing a cargo optimization tool for Air Canada. His work integrates advanced algorithms like neural genetic methods and blockchain applications to solve complex industrial problems.
Key research areas include RFID adoption in healthcare supply chains, blockchain-driven financial systems, and emission reduction strategies. He advises students such as Nooshin Nekoiemehr, Qiqi Zhang, and Anqi Chen, contributing to innovative solutions in distributed manufacturing and maritime resilience. His publications address challenges in competitive refurbisher markets, dynamic pricing under social influence, and inventory-location modeling in pallet pooling systems.
- Awards: First Practice Prize, CORS National Conference 2015
- Grants/Projects: Development of cargo optimization tools, blockchain implementations in financial supply chains, and sustainability-focused closed-loop networks
- Labs/Teams: Engaged in interdisciplinary research teams addressing supply chain resilience and environmental policy integration
