Yunlin Liu

M.Sc. Student in Management Science and Engineering

Shandong University of Finance and Economics

I am a master's student advised by Guohua Sun. My research focuses on logistics planning algorithms, vehicle routing, and collaborative vehicle–drone systems.

I am from Yantai, China. Outside my research, I enjoy reading, writing, and coding.

Research interests

Logistics optimization and vehicle routing
Collaborative vehicle–drone systems and intelligent transportation
Algorithm design for large-scale logistics and supply chain optimization

Publications

Collaborative vehicle–drone routing for fresh product first-mile pickup in e-commerce environment

NetworksPublished · First author

This study investigates a collaborative routing problem where vehicles and drones jointly serve pickup nodes in fresh e-commerce logistics. The work develops an integrated optimization model and an ALNS algorithm with a weighted objective to balance time and cost. I was primarily responsible for model formulation, algorithm design, and computational experiments, including sensitivity analysis based on real-world data.

Optimization and simulation for an intermodal routing problem with fuzzy soft time windows under multiple uncertainty

Journal of Shandong University (Natural Science)Published · Fourth author

This paper addresses an intermodal routing problem under multiple uncertainties and fuzzy time window constraints. The study combines modeling and simulation with a metaheuristic solution approach. My contribution focused on implementing the optimization model and developing the ant colony algorithm, as well as supporting computational experiments.

Education

M.Sc. in Management Science and Engineering

Sep. 2025 — Present

Shandong University of Finance and Economics

Advisor: Guohua Sun

B.Sc. in Logistics Management

Sep. 2019 — Jun. 2023

Shandong University of Finance and Economics

Honors & awards

First Prize

Apr. 2021 · Beijing, China

National Contest on Logistics Design for University Students

Developed a genetic algorithm in MATLAB to optimize supermarket distribution routes for a real-world logistics scenario. The work focused on improving routing efficiency under practical operational constraints and demonstrated effective performance in large-scale instances.