English

The Capacity Constrained Facility Location problem

Computer Science and Game Theory 2019-02-19 v2 Artificial Intelligence

Abstract

We initiate the study of the capacity constrained facility location problem from a mechanism design perspective. The capacity constrained setting leads to a new strategic environment where a facility serves a subset of the population, which is endogenously determined by the ex-post Nash equilibrium of an induced subgame and is not directly controlled by the mechanism designer. Our focus is on mechanisms that are ex-post dominant-strategy incentive compatible (DIC) at the reporting stage. We provide a complete characterization of DIC mechanisms via the family of Generalized Median Mechanisms (GMMs). In general, the social welfare optimal mechanism is not DIC. Adopting the worst-case approximation measure, we attain tight lower bounds on the approximation ratio of any DIC mechanism. The well-known median mechanism is shown to be optimal among the family of DIC mechanisms for certain capacity ranges. Surprisingly, the framework we introduce provides a new characterization for the family of GMMs, and is responsive to gaps in the current social choice literature highlighted by Border and Jordan (1983) and Barbar{\`a}, Mass{\'o} and Serizawa (1998).

Cite

@article{arxiv.1806.00960,
  title  = {The Capacity Constrained Facility Location problem},
  author = {Haris Aziz and Hau Chan and Barton E. Lee and David C. Parkes},
  journal= {arXiv preprint arXiv:1806.00960},
  year   = {2019}
}
R2 v1 2026-06-23T02:17:46.668Z