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Stochastic Programming pp 329–351Cite as

Stochastic Optimization Models for Machining Operations

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 423))

Abstract

In the paper the deterministic optimization models are summarized first. In these models the main decision variables are the feed, speed and depth of cut. Then we treat tool life as a random parameter and select a probability model that defines the tool life variations. Finally stochastic optimization models are defined for determining machining operations.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Technical University of Budapest, Hungary

    T. Szántai

  2. Department of Production Engineering, Technical University of Budapest, Hungary

    I. Mészáros

  3. Department of Machine Elements, Institute of Machine Design, Technical University of Budapest, Hungary

    J. Völgyi

Authors
  1. T. Szántai
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  2. I. Mészáros
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  3. J. Völgyi
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Editor information

Editors and Affiliations

  1. Fk. LRT, Universität der Bundeswehr Müchen, D-85577, Neubiberg/München, Germany

    Kurt Marti

  2. Institut für Operations Research, Universität Zürich, Moussonstr. 15, CH-8044, Zürich, Switzerland

    Peter Kall

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© 1995 Springer-Verlag Berlin Heidelberg

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Szántai, T., Mészáros, I., Völgyi, J. (1995). Stochastic Optimization Models for Machining Operations. In: Marti, K., Kall, P. (eds) Stochastic Programming. Lecture Notes in Economics and Mathematical Systems, vol 423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88272-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-88272-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58996-9

  • Online ISBN: 978-3-642-88272-2

  • eBook Packages: Springer Book Archive

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