Facility Location Problems with Capacity Constraints: Two Facilities and Beyond

Fuente: arXiv
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Hauptverfasser: Auricchio, Gennaro, Wang, Zihe, Zhang, Jie
Format: Preprint
Veröffentlicht: 2024
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author Auricchio, Gennaro
Wang, Zihe
Zhang, Jie
author_facet Auricchio, Gennaro
Wang, Zihe
Zhang, Jie
contents In this paper, we investigate the Mechanism Design aspects of the $m$-Capacitated Facility Location Problem ($m$-CFLP) on a line. We focus on two frameworks. In the first framework, the number of facilities is arbitrary, all facilities have the same capacity, and the number of agents is equal to the total capacity of all facilities. In the second framework, we aim to place two facilities, each with a capacity of at least half of the total agents. For both of these frameworks, we propose truthful mechanisms with bounded approximation ratios with respect to the Social Cost (SC) and the Maximum Cost (MC). When $m>2$, the result sharply contrasts with the impossibility results known for the classic $m$-Facility Location Problem \cite{fotakis2014power}, where capacity constraints are not considered. Furthermore, all our mechanisms are (i) optimal with respect to the MC (ii) optimal or nearly optimal with respect to the SC among anonymous mechanisms. For both frameworks, we provide a lower bound on the approximation ratio that any truthful and deterministic mechanism can achieve with respect to the SC and MC.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13566
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Facility Location Problems with Capacity Constraints: Two Facilities and Beyond
Auricchio, Gennaro
Wang, Zihe
Zhang, Jie
Computer Science and Game Theory
91A68
In this paper, we investigate the Mechanism Design aspects of the $m$-Capacitated Facility Location Problem ($m$-CFLP) on a line. We focus on two frameworks. In the first framework, the number of facilities is arbitrary, all facilities have the same capacity, and the number of agents is equal to the total capacity of all facilities. In the second framework, we aim to place two facilities, each with a capacity of at least half of the total agents. For both of these frameworks, we propose truthful mechanisms with bounded approximation ratios with respect to the Social Cost (SC) and the Maximum Cost (MC). When $m>2$, the result sharply contrasts with the impossibility results known for the classic $m$-Facility Location Problem \cite{fotakis2014power}, where capacity constraints are not considered. Furthermore, all our mechanisms are (i) optimal with respect to the MC (ii) optimal or nearly optimal with respect to the SC among anonymous mechanisms. For both frameworks, we provide a lower bound on the approximation ratio that any truthful and deterministic mechanism can achieve with respect to the SC and MC.
title Facility Location Problems with Capacity Constraints: Two Facilities and Beyond
topic Computer Science and Game Theory
91A68
url https://arxiv.org/abs/2404.13566