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CU19: Network and Logistics Optimization

Course Summary

This course provides students with foundational competencies in modeling and solving optimization problems related to complex networks and logistics systems. Students will mathematically formulate network optimization problems, apply suitable optimization techniques to logistical challenges, critically evaluate and interpret solutions within real-world contexts, and execute practical projects, preparing clear and detailed technical reports.

Course Highlights

  • Mathematical Modeling of Network Optimization Problems
  • Integer Linear Programming and Exact Methods
  • Heuristic Techniques for Network Optimization
  • Classical Network Problems: Flow, Shortest Path, Location
  • Vehicle Routing Problem (VRP) and its Variants
  • Practical Applications in Urban Logistics and Supply Chain Management
  • Case Studies Using Real-World Data

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For detailed syllabus, learning outcomes, evaluation criteria, and recommended bibliography, please refer to the official course documentation provided.
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