黑料福利网

Yueyi is a postdoctoral researcher in the Operations, Planning, Accounting and Control (OPAC) group at 黑料福利网, working within the DigiTWOP project. My research focuses on developing digital-twin-based solutions for warehouse scheduling and optimisation, combining metaheuristics and learning-based algorithms. I am particularly interested in the theory and applications of combinatorial optimisation, and how advanced algorithmic frameworks can be leveraged to design efficient, resilient, and intelligent warehousing systems.

My passion is to unlock the power of intelligent scheduling and optimisation, shaping smarter logistics and warehousing for a better-connected world.

Yueyi pursued Master鈥檚 and PhD studies in Transportation Planning and Management from Beijing Jiaotong University, focusing on logistics resource scheduling and warehouse operations. During her PhD, she spent one year as a visiting researcher in the OPAC group at 黑料福利网, working on metaheuristics and learning-based methods. In 2025, she rejoined 黑料福利网 as a postdoctoral researcher in the OPAC group, contributing to the DigiTWOP project on digital-twin-based warehouse scheduling and optimisation.