collaborators

6 papers

cs.LG2026

Enhanced Parcel Arrival Forecasting for Logistic Hubs: An Ensemble Deep Learning Approach

Xinyue Pan, Yujia Xu, Benoit Montreuil

The rapid expansion of online shopping has increased the demand for timely parcel delivery, compelling logistics service providers to enhance the efficiency, agility, and predictab…

math.OC2026

Modular and Mobile Capacity Planning for Hyperconnected Supply Chain Networks

Xiaoyue Liu, Walid Klibi, Benoit Montreuil

The increased volatility of markets and the pressing need for resource sustainability are driving supply chains towards more agile, distributed, and dynamic designs. Motivated by t…

math.OC2025

Dynamic Containerized Modular Capacity Planning and Resource Allocation in Hyperconnected Supply Chain Ecosystems

Xiaoyue Liu, Yujia Xu, Benoit Montreuil

With the growth of data-driven services and expansion of mobile application usage, traditional methods of capacity and resource planning methods may not be efficient and often fall…

math.OC2025

Dynamic Pricing System for Physical Internet Enabled Hyperconnected Less-than-Truckload Freight Logistics Networks

Tiankuo Zhang, Paria Nourmohammadi, Sixtine Guerin +2

Less than truckload shipping plays a critical role in modern supply chains by consolidating freight from multiple shippers into shared vehicles. Despite its operational flexibility…

math.OC2025

Dynamic Less-Than-Truckload Transportation Planning in Hyperconnected Hub Networks with Multi-Carrier Operations

Tiankuo Zhang, Jingze Li, Benoit Montreuil

Less-than-truckload (LTL) shipment is vital in modern freight transportation yet is in dire need of more efficient usage of resources, higher service responsiveness and velocity, l…

math.OC2025

Efficient, Fast, and Fair Voting Through Dynamic Resource Allocation in a Secure Election Physical Intranet

Tiankuo Zhang, Benoit Montreuil, Ali V Barenji +1

Resource allocations in an election system, often with hundreds of polling locations over a territory such as a county, with the aim that voters receive fair and efficient services…