Advanced Planning, Scheduling and Routing Problems—Models, Methods, and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 354
Special Issue Editor
Interests: constraint programming; operation research; optimization; decision support; logistics; manufacturing; supply chain management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced planning, scheduling and routing problems are key to efficient distribution, transportation, manufacturing, and supply chain coordination. They assign transportation tasks to a transport fleet and sequence stops/points. The development of transportation methods has expanded the definition of a vehicle (AVG, UAV, FPV, EV, etc.). These problems have many real-life applications and come in many variants, depending on the type of task, the objective, the time frames, and the types of constraints that must be met. Outside of transportation, logistics, and supply chains, routing problems have less intuitive but still important applications, e.g., robotics and manufacturing. Planning, scheduling and routing problems are computationally challenging discrete optimization issues. Therefore, modern methods and tools for modeling and solving these problems are necessary, including hybrid algorithms, machine learning, constraint programming, adaptive large neighborhood search, data-driven optimization, AI-driven methods, etc.
This Special Issue, titled “Advanced Planning, Scheduling and Routing Problems—Models, Methods, and Applications”, invites authors to submit articles discussing and presenting solutions regarding models, methods, applications, and new challenges pertaining to planning, scheduling and routing problems.
Prof. Dr. Paweł Sitek
Guest Editor
Manuscript Submission Information
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Keywords
- planning and scheduling
- optimization and algorithms
- supply chains
- urban logistics
- last-mile delivery
- autonomous vehicles
- UAV fleet routing and scheduling
- drone delivery systems
- computer network routing
- dynamic routing and scheduling
- manufacturing
- E-commerce logistics
- AI-driven approach to modeling and solving
- data-driven and robust optimization
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