activity
20242026
most citedContextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2026

End-to-End Supply Chain Planning in the Paper Industry Via Column Generation and Benders Decomposition

Changkun Guan, Amira Hijazi, Pascal Van Hentenryck

Problem definition: The paper studies an integrated end-to-end planning problem in large-scale paper manufacturing, where production scheduling, trimming decisions, vehicle loading…

math.OC2025

Practice-Based Optimization for the Strategic Locomotive Assignment Problem

Yunji Kim, Amira Hijazi, Kevin Dalmeijer +1

This study addresses the challenge of efficiently assigning locomotives in large freight rail networks, where operational complexity and power imbalances make cost-effective planni…

cs.LG2025

Conformal Predictive Distributions for Order Fulfillment Time Forecasting

Tinghan Ye, Amira Hijazi, Pascal Van Hentenryck

Accurate estimation of order fulfillment time is critical for e-commerce logistics, yet traditional rule-based approaches often fail to capture the inherent uncertainties in delive…

cs.LG2025

SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks

Sikai Cheng, Amira Hijazi, Jeren Konak +2

Freight consolidation has significant potential to reduce transportation costs and mitigate congestion and pollution. An effective load consolidation plan relies on carefully chose…

cs.LG2024★ 1 cited

Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry

Thomas Bruys, Reza Zandehshahvar, Amira Hijazi +1

This study develops a deep learning-based approach to automate inbound load plan adjustments for a large transportation and logistics company. It addresses a critical challenge for…

cs.LG2024

All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers

Amira Hijazi, Osman Ozaltin, Reha Uzsoy

We present a neural network-enhanced column generation (CG) approach for a parallel machine scheduling problem. The proposed approach utilizes an encoder-decoder attention model, n…