Contextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Tinghan, Cheng, Sikai, Hijazi, Amira, Van Hentenryck, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conformal Predictive Distributions for Order Fulfillment Time Forecasting
by: Ye, Tinghan, et al.
Published: (2025)
by: Ye, Tinghan, et al.
Published: (2025)
SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
by: Cheng, Sikai, et al.
Published: (2025)
by: Cheng, Sikai, et al.
Published: (2025)
Practice-Based Optimization for the Strategic Locomotive Assignment Problem
by: Kim, Yunji, et al.
Published: (2025)
by: Kim, Yunji, et al.
Published: (2025)
Paratransit Optimization with Constraint Programming: A Case Study in Savannah, Georgia
by: Jagrowski, Liam, et al.
Published: (2025)
by: Jagrowski, Liam, et al.
Published: (2025)
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
by: Guan, Hongzhao, et al.
Published: (2026)
by: Guan, Hongzhao, et al.
Published: (2026)
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)
by: Lu, Jiawei, et al.
Published: (2024)
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
by: Ye, Tinghan, et al.
Published: (2026)
by: Ye, Tinghan, et al.
Published: (2026)
Optimization Learning
by: Van Hentenryck, Pascal
Published: (2025)
by: Van Hentenryck, Pascal
Published: (2025)
On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023)
by: Zhao, Haoruo, et al.
Published: (2023)
DualSchool: How Reliable are LLMs for Optimization Education?
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Route Optimization Over Scheduled Services For Large-Scale Package Delivery Networks
by: Ahmed, Mohammed Faisal, et al.
Published: (2025)
by: Ahmed, Mohammed Faisal, et al.
Published: (2025)
Dynamic Order Fulfillment in Last-Mile Drone Delivery under Demand Uncertainty
by: Shi, Linxuan, et al.
Published: (2022)
by: Shi, Linxuan, et al.
Published: (2022)
Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
by: Zhao, Haoruo, et al.
Published: (2024)
by: Zhao, Haoruo, et al.
Published: (2024)
Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024)
by: Tanneau, Mathieu, et al.
Published: (2024)
Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming
by: Dvorkin, Vladimir, et al.
Published: (2022)
by: Dvorkin, Vladimir, et al.
Published: (2022)
AI4OPT: AI Institute for Advances in Optimization
by: Van Hentenryck, Pascal, et al.
Published: (2023)
by: Van Hentenryck, Pascal, et al.
Published: (2023)
Bilevel Optimization and Heuristic Algorithms for Integrating Latent Demand into the Design of Large-Scale Transit Systems
by: Guan, Hongzhao, et al.
Published: (2022)
by: Guan, Hongzhao, et al.
Published: (2022)
Joint Infrastructure Planning and Order Assignment for On-Demand Food-Delivery Services with Coordinated Drones and Human Couriers
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026)
by: Faulkner, Stefan, et al.
Published: (2026)
Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)
by: Huertas, Jorge A., et al.
Published: (2024)
Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)
by: Klamkin, Michael, et al.
Published: (2024)
A Hybrid Decomposition Approach for Stochastic Unit Commitment with Combined-Cycle Generators
by: Barrass, Rosemary, et al.
Published: (2026)
by: Barrass, Rosemary, et al.
Published: (2026)
Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks
by: Lee, Chungjae, et al.
Published: (2023)
by: Lee, Chungjae, et al.
Published: (2023)
Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
by: Tong, Shuaicheng, et al.
Published: (2026)
by: Tong, Shuaicheng, et al.
Published: (2026)
Online Order Fulfillment with Replenishment
by: Ling, Zi, et al.
Published: (2026)
by: Ling, Zi, et al.
Published: (2026)
A Rolling-Space Branch-and-Price Algorithm for the Multi-Compartment Vehicle Routing Problem with Multiple Time Windows
by: Raqabi, El Mehdi Er, et al.
Published: (2026)
by: Raqabi, El Mehdi Er, et al.
Published: (2026)
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
by: Park, Seonho, et al.
Published: (2023)
by: Park, Seonho, et al.
Published: (2023)
Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness
by: Guan, Hongzhao, et al.
Published: (2023)
by: Guan, Hongzhao, et al.
Published: (2023)
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)
by: Rosemberg, Andrew, et al.
Published: (2025)
All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers
by: Hijazi, Amira, et al.
Published: (2024)
by: Hijazi, Amira, et al.
Published: (2024)
Compact Optimality Verification for Optimization Proxies
by: Chen, Wenbo, et al.
Published: (2024)
by: Chen, Wenbo, et al.
Published: (2024)
Optimizing Multiple-Control Toffoli Quantum Circuit Design with Constraint Programming
by: Jung, Jihye, et al.
Published: (2024)
by: Jung, Jihye, et al.
Published: (2024)
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Scheduling and Routing in the Flexible Job Shop with Heterogeneous Transbots and Zoning: A Constraint Programming Approach
by: Moinuddin, Arnovi, et al.
Published: (2026)
by: Moinuddin, Arnovi, et al.
Published: (2026)
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)
by: Qiu, Guancheng, et al.
Published: (2025)
Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)
by: Qiu, Guancheng, et al.
Published: (2023)
Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
by: Bakkali, Taha El, et al.
Published: (2026)
by: Bakkali, Taha El, et al.
Published: (2026)
Sobolev Training of End-to-End Optimization Proxies
by: Rosemberg, Andrew W., et al.
Published: (2025)
by: Rosemberg, Andrew W., et al.
Published: (2025)
Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty
by: Lin, Zikun, et al.
Published: (2026)
by: Lin, Zikun, et al.
Published: (2026)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Similar Items
-
Conformal Predictive Distributions for Order Fulfillment Time Forecasting
by: Ye, Tinghan, et al.
Published: (2025) -
SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
by: Cheng, Sikai, et al.
Published: (2025) -
Practice-Based Optimization for the Strategic Locomotive Assignment Problem
by: Kim, Yunji, et al.
Published: (2025) -
Paratransit Optimization with Constraint Programming: A Case Study in Savannah, Georgia
by: Jagrowski, Liam, et al.
Published: (2025) -
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
by: Guan, Hongzhao, et al.
Published: (2026)