We consider a game of decentralized timing of jobs to a single server (machine) with a penalty for deviation from a due date, and no delay costs. The jobs’ sizes are homogeneous and deterministic. Each job belongs to a single decision maker, a customer, who aims to arrive at a time that minimizes his(her) deviation penalty. If multiple customers arrive at the same time, then their order of service is determined by a uniform random draw. We show that if the cost function has a weighted absolute deviation form, then any Nash equilibrium is pure and symmetric, that is, all customers arrive together. Furthermore, we show that there exist multiple, in fact a continuum, of equilibrium arrival times, and provide necessary and sufficient conditions for the socially optimal arrival time to be an equilibrium. The base model is solved explicitly, but the prevalence of a pure symmetric equilibrium is shown to be robust to several relaxations of the assumptions: restricted server availability, inclusion of small waiting costs, stochastic job sizes, randomly sized population, heterogeneous due dates, and nonlinear deviation penalties.
|Number of pages||14|
|State||Published - 3 Apr 2018|
Bibliographical noteFunding Information:
The second and third authors thank the Israel Science Foundation (grant no. 355/15) for the financial support enabling this research.
Copyright © 2018 “IISE”.
- Queue arrival time game
- decentralized scheduling
- equilibrium sequencing
- single machine sequencing
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering