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From Fuzzy Maintenance, Repair and Overhaul Data to Reliable Capacity Planning

  • Steffen C. Eickemeyer
  • Simon Steinkamp
  • Bernhardt Schuster
  • Sebastian Schäfer
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)

Abstract

To increase the logistical performance of regeneration processes, the Institute of Production Systems and Logistics has developed methods for efficient capacity planning in spite of fuzzy load information. The methods were validated using real data and an analysis of the methodology for its sociocultural conformity and adaptability in a global company are being carried out.

Keywords

Bayesian Network Capacity Planning Target Parameter Regeneration Expenditure Short Turnaround Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to thank the DFG research organization for providing funding for this research project within the scope of the CRC 871 program. The authors would also like to thank the Graduiertenakademie of the Leibniz Universität Hannover for providing funding for the validation of the theoretical results in the global industry.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Steffen C. Eickemeyer
    • 1
  • Simon Steinkamp
    • 2
  • Bernhardt Schuster
    • 3
  • Sebastian Schäfer
    • 4
  1. 1.Scientific Assistant in the Production Management Research Group, Institute of Production Systems and LogisticsLeibniz University of HannoverHannoverGermany
  2. 2.Temporary Scientific Assistant at the Institute of Production Systems and Logistics (IFA), Production Engineering Center Hannover (PZH)Leibniz University of HannoverHannoverGermany
  3. 3.Director of Engineering and Technical Support at MTUMaintenance Canada LtdHannoverGermany
  4. 4.Production Planning Senior Manager at MTUMaintenance Hannover GmbHHannoverGermany

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