1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment
Yinzhu Quan, Zefang Liu, Frederick Benaben +1
We propose AutoMARS (Automatic Multi-Agent Risk Assessment), an agentic framework for automatic and scalable comparative risk assessment in supply chain networks. The framework ena…
cs.CL2025★ 1 cited
Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment
Yinzhu Quan, Yujia Xu, Guanlin Chen +2
The growing emphasis on energy efficiency and environmental sustainability in global supply chains introduces new challenges in the deployment of hyperconnected logistic hub networ…
math.OC2024
Dynamic Workforce Scheduling and Relocation in Hyperconnected Parcel Logistic Hubs
Yujia Xu, Yiguo Liu, Benoit Montreuil
With the development of e-commerce during the Covid-19 pandemic, one of the major challenges for many parcel logistics companies is to design reliable and flexible scheduling algor…