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Learning-to-Optimize for Consolidation and Transshipment in Multi-store Order Delivery

https://doi.org/10.2139/ssrn.5110506
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cor.2020.104987openalex-snapshot
A review of vehicle routing with simultaneous pickup and delivery
inferredcites →https://doi.org/10.1016/j.ejor.2008.09.041openalex-snapshot
An empirical study on the benefit of split loads with the pickup and delivery problem
inferredcites →https://doi.org/10.1016/j.ejor.2009.04.024openalex-snapshot
Dynamic pickup and delivery problems
inferredcites →https://doi.org/10.1016/j.ejor.2013.10.038openalex-snapshot
New mixed integer-programming model for the pickup-and-delivery problem with transshipment
inferredcites →https://doi.org/10.1016/j.ejor.2013.12.021openalex-snapshot
Many-to-many location-routing with inter-hub transport and multi-commodity pickup-and-delivery
inferredcites →https://doi.org/10.1016/j.ejor.2022.05.053openalex-snapshot
The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation
inferredcites →https://doi.org/10.1016/j.ejor.2024.03.020openalex-snapshot
A survey of contextual optimization methods for decision-making under uncertainty
inferredcites →https://doi.org/10.1016/j.trb.2023.102831openalex-snapshot
An exact algorithm for the pickup and delivery problem with crowdsourced bids and transshipment
inferredcites →https://doi.org/10.1080/03155986.2006.11732749openalex-snapshot
The Pickup And Delivery Problem With Time Windows And Transshipment
inferredcites →https://doi.org/10.1287/educ.2021.0234openalex-snapshot
Machine Learning for Optimal Power Flows
inferredcites →https://doi.org/10.1287/ijoc.2022.0175openalex-snapshot
Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning
inferredcites →https://doi.org/10.1287/mnsc.2020.3640openalex-snapshot
Learning-Based Robust Optimization: Procedures and Statistical Guarantees
inferredcites →https://doi.org/10.1287/mnsc.2020.3741openalex-snapshot
On-Time Last-Mile Delivery: Order Assignment with Travel-Time Predictors
inferredcites →https://doi.org/10.1287/mnsc.2021.01010openalex-snapshot
On-Demand Delivery Platforms and Restaurant Sales
inferredcites →https://doi.org/10.1287/mnsc.2022.4564openalex-snapshot
A Practical End-to-End Inventory Management Model with Deep Learning
inferredcites →https://doi.org/10.1287/mnsc.2023.4739openalex-snapshot
Routing Optimization with Vehicle-Customer Coordination
inferredcites →https://doi.org/10.1287/mnsc.6.1.80openalex-snapshot
The Truck Dispatching Problem
inferredcites →https://doi.org/10.1287/msom.2022.0211openalex-snapshot
The Driver-Aide Problem: Coordinated Logistics for Last-Mile Delivery
inferredcites →https://doi.org/10.1287/msom.2022.1112openalex-snapshot
On-Demand Meal Delivery Platforms: Operational Level Data and Research Opportunities
inferredcites →https://doi.org/10.1287/opre.2021.0588openalex-snapshot
Provably Good Region Partitioning for On-Time Last-Mile Delivery
inferredcites →https://doi.org/10.1287/opre.2021.0707openalex-snapshot
Mixed-Integer Optimization with Constraint Learning
inferredcites →https://doi.org/10.1287/opre.2022.2404openalex-snapshot
Stall Economy: The Value of Mobility in Retail on Wheels
inferredcites →https://doi.org/10.1287/trsc.2016.0675openalex-snapshot
50th Anniversary Invited Article—City Logistics: Challenges and Opportunities
inferredcites →https://doi.org/10.1287/trsc.2021.1095openalex-snapshot
Supervised Learning for Arrival Time Estimations in Restaurant Meal Delivery
inferredcites →https://doi.org/10.1287/trsc.2022.0029openalex-snapshot
Machine Learning for Data-Driven Last-Mile Delivery Optimization
inferredcites →https://doi.org/10.1287/trsc.2022.0042openalex-snapshot
Dynamic Courier Capacity Acquisition in Rapid Delivery Systems: A Deep Q-Learning Approach
inferredcites →https://doi.org/10.1287/trsc.2022.1173openalex-snapshot
2021 Amazon Last Mile Routing Research Challenge: Data Set
inferredcites →https://doi.org/10.24963/ijcai.2021/610openalex-snapshot
End-to-End Constrained Optimization Learning: A Survey
inferredcites →https://doi.org/10.3233/faia240775openalex-snapshot
Learning Joint Models of Prediction and Optimization
inferredcites →https://doi.org/10.48550/arxiv.2210.11152openalex-snapshot
Machine Learning for K-adaptability in Two-stage Robust Optimization
inferredcites →https://doi.org/10.48550/arxiv.2307.04050openalex-snapshot
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
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