A min-max theorem for the minimum fleet-size problem
Tinghan Ye, David Shmoys

TL;DR
This paper establishes a min-max theorem linking the maximum number of incompatible trips to the minimum fleet size in fleet management, providing a theoretical foundation for optimizing vehicle allocation.
Contribution
It introduces a novel min-max theorem that connects trip incompatibility with fleet size, advancing the theoretical understanding of fleet-sizing problems.
Findings
Proves a min-max theorem for fleet-size and trip incompatibility.
Shows the equivalence between maximum incompatible trips and minimum fleet size.
Abstract
A retrospective fleet-sizing problem can be solved via bipartite matching, where a maximum cardinality matching corresponds to the minimum number of vehicles needed to cover all trips. We prove a min-max theorem on this minimum fleet-size problem: the maximum number of pairwise incompatible trips is equal to the minimum fleet size needed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTransportation and Mobility Innovations · Vehicle Routing Optimization Methods · Urban and Freight Transport Logistics
