Histogram based bounds and approximations for production lines
AbstractWe present a modelling method for the analysis of production lines with generally distributed processing times and finite buffers. We consider the complete modelling process, from the data collection to the performance evaluation. First, the data about the processing times is supposed to be collected in the form of histograms. Second, tractable discrete phase-type distributions are built. Third, the evolution of the production line is described by a Markov chain, using a state model. Our originality mostly comes from the way the phase-type distributions are built: the "grouping at the end" discretization aggregates the probability mass in a time step at its end. The method allows to compute refinable upper and lower bounds on the throughput. Furthermore, we propose some approximations and show how the method performs on simple examples. We argue that the way the distributions are discretized, called "probability masses fitting", can be thought as a valuable alternative in order to build tractable distributions.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 197 (2009)
Issue (Month): 3 (September)
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Web page: http://www.elsevier.com/locate/eor
Markov processes Queueing Production line Discretization Bounds;
Other versions of this item:
- TRAZNCREZ, Jean-Sébastien & SEMAL, Pierre & CHEVALIER, Philippe, . "Histogram based bounds and approximations for production lines," CORE Discussion Papers RP -2163, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- Liu, Jialu & Yang, Sheng & Wu, Aiguo & Hu, S. Jack, 2012. "Multi-state throughput analysis of a two-stage manufacturing system with parallel unreliable machines and a finite buffer," European Journal of Operational Research, Elsevier, vol. 219(2), pages 296-304.
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