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A discrete-time single-server Poisson queueing game: Equilibria simulated by an agent-based model

Yutaka Sakuma, Hiroyuki Masuyama and Emiko Fukuda

European Journal of Operational Research, 2020, vol. 283, issue 1, 253-264

Abstract: This paper considers a discrete-time single-server queue with a single acceptance period for a Poissonian population of homogeneous customers. Customers are served on a first-come first-served (FCFS) basis, and their service times are independent and identically distributed with a general distribution. We assume that each customer chooses her/his arrival-time slot with the goal of minimizing her/his expected waiting time in competition with other customers. For this queueing game, we derive a symmetric (mixed-strategy) Nash equilibrium; that is, an equilibrium arrival-time distribution of homogeneous customers, where their expected waiting times are identical. We also propose an agent-based model, which simulates the dynamics of customers who try to minimize their waiting times for service. Through numerical experiments, we confirm that this agent-based model achieves, in steady state, an arrival-time distribution similar to the equilibrium arrival-time distribution analytically obtained.

Keywords: Queueing; Non-cooperative queueing game; Poissonian population; General service time; Nash equilibrium; Agent-based model (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:283:y:2020:i:1:p:253-264

DOI: 10.1016/j.ejor.2019.11.003

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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