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.
Original language | English |
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Pages (from-to) | 277-284 |
Number of pages | 8 |
Journal | Operations Research Letters |
Volume | 41 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 May 2013 |
Keywords
- Equilibrium analysis
- Partial information
- Strategic customers
- Vacation queue
ASJC Scopus subject areas
- Management Science and Operations Research
- Applied Mathematics
- Industrial and Manufacturing Engineering
- Software