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A Framework for the Simulation-Based Estimation of Downtime Costs

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Exploring Service Science (IESS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 331))

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Abstract

Currently, industrial maintenance experiences a shift from traditional on-call business towards long-term maintenance contracts, as, for example, availability-based maintenance contracts. Recently, researchers presented Service Level Engineering (SLE) as an approach for customers to determine their cost-optimal long-term availability levels for their production equipment within one production system. However—in order to apply SLE—customers must know their costs of downtime, i.e. costs associated to the unavailability of production assets.

This work presents a generic approach for customers to determine their costs of downtime function, a function reflecting the costs arising for a manufacturer due to unavailable production equipment. The approach uses simulation studies to incorporate different downtime patterns that result in the same overall availability. Consequently, this work contributes to the successful application of availability-based maintenance contract in practice. In detail, this work addresses the question of determining the industrial costs of downtime, a necessary prerequisite for the successful application of SLE in industrial maintenance.

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Authors and Affiliations

  1. Karlsruhe Institute of Technology, Kaiserstr. 89, 76133, Karlsruhe, Germany

    Clemens Wolff & Michael Voessing

Authors
  1. Clemens Wolff
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  2. Michael Voessing
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Corresponding author

Correspondence to Clemens Wolff .

Editor information

Editors and Affiliations

  1. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Gerhard Satzger

  2. INESC TEC, Universidade do Porto, Porto, Portugal

    Lia Patrício

  3. Institute for Manufacturing, University of Cambridge, Cambridge, UK

    Mohamed Zaki

  4. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Niklas Kühl

  5. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Peter Hottum

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Wolff, C., Voessing, M. (2018). A Framework for the Simulation-Based Estimation of Downtime Costs. In: Satzger, G., Patrício, L., Zaki, M., Kühl, N., Hottum, P. (eds) Exploring Service Science. IESS 2018. Lecture Notes in Business Information Processing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-030-00713-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-00713-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00712-6

  • Online ISBN: 978-3-030-00713-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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