Performance analysis of exponential multi-server production lines with fluid flow and finite buffers

S.T.G. Fleuren, R. Bierbooms, I.J.B.F. Adan

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
146 Downloads (Pure)

Abstract

Special issue on the Eight International Conference on Matrix-Analytic Methods in Stochastic Models, 6-10 Janueri 2014, Kerala, India This article presents an approximation method for fluid flow production lines with multi-server workstations and finite buffers. Each workstation consists of parallel identical servers, which are subject to operation-dependent failures with exponentially distributed uptimes and downtimes. The proposed method decomposes the production line into single-buffer subsystems, each described by a continuous state Markov process, the parameters of which are determined iteratively. The approximation method is appropriate for the analysis of longer production lines, able to accurately estimate performance characteristics (e.g., throughput and mean buffer content), and shown to perform well on a large test set. Keywords: Approximate analysis; Decomposition technique; Multi-server production lines; Operation dependent failures
Original languageEnglish
Pages (from-to)469-493
Number of pages27
JournalStochastic Models
Volume30
Issue number4
DOIs
Publication statusPublished - 2014

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