Approximate Queueing Network Analysis for Nonstationary Demand

Ronald Askin, Girish Jampani Hanumantha

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Analytical methods for product-form open and closed networks provide a fast, computationally efficient method for obtaining first order moment estimates of steady-state manufacturing system performance. In this paper we expand the use of efficient algorithms for steady-state analysis to develop approximate performance measures under dynamic conditions. Good approximations are shown to be obtainable for production system output under non-stationary demand and capacity.

Original languageEnglish (US)
Pages (from-to)1502-1507
Number of pages6
Issue number12
StatePublished - 2016


  • buffer sizes
  • nonstationary demand
  • production rate
  • Queueing network

ASJC Scopus subject areas

  • Control and Systems Engineering


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