Disruption recovery for the pickup and delivery problem with time windows -- a scenario-based approach for online food delivery
From MaRDI portal
Publication:6047877
DOI10.1016/j.cor.2023.106337OpenAlexW4382073841MaRDI QIDQ6047877
No author found.
Publication date: 13 September 2023
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2023.106337
Cites Work
- Unnamed Item
- Unnamed Item
- A study of decision support models for online patient-to-room assignment planning
- An ant colony system for responsive dynamic vehicle routing
- The vehicle rescheduling problem
- An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows and scheduled lines
- Disrupted capacitated vehicle routing problem with order release delay
- Real-time vehicle rerouting problems with time windows
- Dynamic pickup and delivery problems
- The pickup and delivery problem with time windows
- Pickup and delivery problem with time windows: a new compact two-index formulation
- Disruption management in vehicle routing and scheduling for road freight transport: a review
- A large neighborhood search for the pickup and delivery problem with time windows, split loads and transshipments
- Airline disruption management: a literature review and practical challenges
- Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots
- Static pickup and delivery problems: a classification scheme and survey. (With comments and rejoinder)
- A review of vehicle routing with simultaneous pickup and delivery
- A study on the pickup and delivery problem with time windows: matheuristics and new instances
- Online Vehicle Routing Problems: A Survey
- Survey Paper—Time Window Constrained Routing and Scheduling Problems
- Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers
This page was built for publication: Disruption recovery for the pickup and delivery problem with time windows -- a scenario-based approach for online food delivery