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Mean Values Techniques

In: Queueing Networks

Author

Listed:
  • Ivo Adan

    (Eindhoven University of Technology
    University of Amsterdam)

  • Jan Wal

    (Eindhoven University of Technology
    University of Amsterdam)

Abstract

This chapter presents the technique to determine mean performance characteristics of queueing models, generally known as mean value analysis (MVA). The term MVA is usually associated with queueing networks (QNs). However, theMVA technique is also very powerful when studying single-station queueing models. The merits of MVA are in its intrinsic simplicity and its intuitively appealing derivation based on probabilistic arguments. The intuition ofMVA can also be used to develop approximations for problems where an exact analysis appears to be intractable.

Suggested Citation

  • Ivo Adan & Jan Wal, 2011. "Mean Values Techniques," International Series in Operations Research & Management Science, in: Richard J. Boucherie & Nico M. Dijk (ed.), Queueing Networks, chapter 13, pages 561-586, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6472-4_13
    DOI: 10.1007/978-1-4419-6472-4_13
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    Cited by:

    1. Jelmer P. van der Gaast & René B. M. de Koster & Ivo J. B. F. Adan & Jacques A. C. Resing, 2020. "Capacity Analysis of Sequential Zone Picking Systems," Operations Research, INFORMS, vol. 68(1), pages 161-179, January.

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