New Production Technologies in Aerospace Industry pp 181-186 | Cite as
From Fuzzy Maintenance, Repair and Overhaul Data to Reliable Capacity Planning
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 TimeNotes
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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