Strategic behavior and social optimization in partially-observable Markovian vacation queues

Pengfei Guo, Qingying Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)


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 languageEnglish
Pages (from-to)277-284
Number of pages8
JournalOperations Research Letters
Issue number3
Publication statusPublished - 1 May 2013


  • Equilibrium analysis
  • Partial information
  • Strategic customers
  • Vacation queue

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Applied Mathematics
  • Industrial and Manufacturing Engineering
  • Software


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