报告题目：Revolutionizing Aircraft Recovery: Graph Attention Networks for Efficient Transportation Network Modeling and Supervised Machine Learning Approach for Solution Space Reduction

报告所属学科：管理科学与工程

报告人：魏可佶（同济大学）

报告时间：2024年4月1日 14:00-16:00

报告地点：bat365中文官方网站702室

报告摘要：

After the COVID-19 pandemic’s disruptive impact on operation, the aviation sector faces a pressing need for agile operational solutions that still maintain optimal performance. To meet this challenge, we have harnessed machine learning techniques to enhance both the construction and the solving of operational models, enabling the rapid finding of solutions that are still provably optimal.

In the model construction, we have redefined the challenge as a Precedence Sequencing Problem with Precedence Costs (PSPPC). Our innovative approach utilizes graph attention networks (GATs) to significantly accelerate the construction of these networks, thereby expediting the overall solution process. On the model-solving, we introduce a supervised machine learning approach by pruning the solution space of the optimization problem. Together, these advanced methods yield exact and optimal solutions more rapidly than conventional benchmarks, demonstrating considerable promise for rapid decision-making in practice.

报告人简介：

Keji Wei current is an assistant professor at the School of Economics and Management , Tongji University. Prior to this academic role, he worked as senior operations research at Sabre Corporation. Dr.Wei obtained his PhD in Operations Research from the Dartmouth College. His research interest is large scale operations optimization, with an emphasis on aviation area. Particularly, he has designed and implemented the operations research and machine learning techniques to improve the solution quality to serve more than +20 airlines in the world.

Keji has published many refereed papers in international journals or conference proceedings, including Transportations Science, EJOR, etc. He has gotten several awards like Transportation Science Meritorious Service Awards and Agifors Anna Valicek Award. His PhD dissertation has won Best Dissertation Award at Informs AAS 2020. Also, he has served as a reviewer for numerous international journals such as Transportation Science, Transportation Research Part B,C,E, etc.