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Condition-Based Release of Maintenance Jobs in a Decentralized Multi-Stage Production/Maintenance System

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Operations Research Proceedings 2012

Part of the book series: Operations Research Proceedings ((ORP))

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Abstract

Condition-based maintenance is analyzed for multi-stage production with a separate maintenance unit. Deterioration depends on multiple production para-meters, and maintenance has to keep up predefined operational availabilities per production stage. Two problems are of interest: Determining machine conditions that require a release of preventive maintenance jobs, and scheduling maintenance jobs of different production stages. Considering continuous condition monitoring, a specific priority rule for scheduling is developed, factors determining the release situation are operationalized and effects of choosing the triggering condition are identified. The performance of the priority rule and a stochastic approach to determine optimal triggering conditions are analyzed by simulations.

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Notes

  1. 1.

    Hierarchical: cf. [1, p. 155]; [2, p. 173]; heterarchical: cf. [3, p. 1584]; [4, p. 4611]; [5, p. 168]; [6, p. 77].

  2. 2.

    Cf. [7, p. 191].

  3. 3.

    Cf. [8, p. 34].

  4. 4.

    Cf. [7], pp. 191, for a detailed description.

  5. 5.

    Cf. [8], pp. 34.

  6. 6.

    The simulation length is chosen according to a failure probability \(\varepsilon < 5 \%\) and a tolerance range \(\delta < 1\,\%\) for the measured objectives.

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Author information

Authors and Affiliations

  1. Dept of Business Administration, Production Management and Logistics, University of Dortmund, Martin-Schmeißer-Weg 12, 44227 , Dortmund, Germany

    Ralf Gössinger & Michael Kaluzny

Authors
  1. Ralf Gössinger
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  2. Michael Kaluzny
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Corresponding author

Correspondence to Michael Kaluzny .

Editor information

Editors and Affiliations

  1. Institute of Production Management, Leibniz Universität Hannover, Hannover, Germany

    Stefan Helber

  2. Institute for Information Systems Resear, Leibniz Universität Hannover, Hannover, Germany

    Michael Breitner

  3. Institute for Banking and Finance, Leibniz Universität Hannover, Hannover, Germany

    Daniel Rösch

  4. Institute of Production Management, Leibniz Universität Hannover, Hannover, Germany

    Cornelia Schön

  5. Institute for Risk and Insurance, Leibniz Universität Hannover, Hannover, Germany

    Johann-Matthias Graf von der Schulenburg

  6. Institute of Statistics, Leibniz Universität Hannover, Hannover, Germany

    Philipp Sibbertsen

  7. Institute of Applied Mathematics, Leibniz Universität Hannover, Hannover, Germany

    Marc Steinbach

  8. Institute of Probability and Statistics, Leibniz Universität Hannover, Hannover, Germany

    Stefan Weber

  9. Institute of Production Management, Leibniz Universität Hannover, Hannover, Germany

    Anja Wolter

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Gössinger, R., Kaluzny, M. (2014). Condition-Based Release of Maintenance Jobs in a Decentralized Multi-Stage Production/Maintenance System. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_39

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