Strategic behavior and social optimization in partially-observable Markovian vacation queues
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 277-284 |
Journal / Publication | Operations Research Letters |
Volume | 41 |
Issue number | 3 |
Online published | 28 Feb 2013 |
Publication status | Published - May 2013 |
Externally published | Yes |
Link(s)
Abstract
We study customers' strategic behavior and social optimization in vacation queues with N-policy under two partial-information scenarios. In scenario 1, only the server's status is observable. We find that avoid-the-crowd/follow-the- crowd behavior exists when the server is busy/idle. In scenario 2, only the queue length is observable. The customers' equilibrium threshold strategy is the same as that in a fully observable system; whereas, the optimal control policy in a fully observable case is sometimes, but not always, implementable in scenario 2. © 2013 Elsevier B.V. All rights reserved.
Research Area(s)
- Equilibrium analysis, Partial information, Strategic customers, Vacation queue
Citation Format(s)
Strategic behavior and social optimization in partially-observable Markovian vacation queues. / Guo, Pengfei; Li, Qingying.
In: Operations Research Letters, Vol. 41, No. 3, 05.2013, p. 277-284.
In: Operations Research Letters, Vol. 41, No. 3, 05.2013, p. 277-284.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review