Abstract
The two previous chapters focused on the calculation of the first-moment performance measures. In the following, the calculation of the exact distribution of the time between processing starts, denoted by TBPS, is presented. This distribution concerns processes that take place at the instant of a processing-start.
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Notes
- 1.
The calculation of these is described in Chap. 5.
- 2.
See Werner (2010, p. 184f).
- 3.
- 4.
See Werner (2010, p. 184f).
- 5.
See Lean Enterprise Institute (2003, p. 60).
- 6.
Note that this assignment is unambiguous. A non-active state might have several active predecessors, however, only one predecessor from an active state can finish after phase ph. This is because for any given state s, there is only one transition possibility to enter the particular non-active state u when requiring that the transition is induced by station i.
- 7.
See Property 5.3 on page 94.
- 8.
See page 93.
- 9.
See Property 5.4 on page 95.
- 10.
For the theoretical background on the transition rate matrix, see Sect. 5.5.1.
- 11.
See Stewart (2009, p. 168ff).
References
Lean Enterprise Institute. (2003). Lean lexicon: A graphical glossary for lean thinkers. Brookline: Lean Enterprise Institute.
Neuts, M. F. (1982). Explicit steady-state solution to some elementary queueing models. Operations Research, 30(3), 480–489.
Stewart, W. J. (2009). Probability, Markov chains, queues, and simulation. Princeton: Princeton University Press.
Werner, H. (2010). Supply chain management: Grundlagen, Strategien, Instrumente und Controlling. Wiesbaden: Gabler.
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Lagershausen, S. (2013). Distribution of the Time Between Processing Starts. In: Performance Analysis of Closed Queueing Networks. Lecture Notes in Economics and Mathematical Systems, vol 663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32214-3_6
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DOI: https://doi.org/10.1007/978-3-642-32214-3_6
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