Dynamic preventive maintenance scheduling of the modules of fighter aircraft based on random effects regression model

S. Y. Sohn; K. B. Yoon

doi:10.1057/jors.2008.167

Dynamic preventive maintenance scheduling of the modules of fighter aircraft based on random effects regression model

S. Y. Sohn, K. B. Yoon

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Proper maintenance of fighter aircraft is an important issue to control the airpower. Typical maintenance policy applied is based on the constant schedule for a given module. This kind of maintenance does not take into account varying characteristics of the module over time. In this paper, we utilize the random effects Weibull regression model for non-constant MTBF (mean time between failure) and MTTR (mean time to repair) in order to provide a dynamic preventive maintenance schedule reflecting the module's varying characteristics in a timely manner. Our study is expected to contribute to ROKA (Republic of Korea Airforce) in terms of improving the level of combat readiness of fighter aircraft.

Original language	English
Pages (from-to)	974-979
Number of pages	6
Journal	Journal of the Operational Research Society
Volume	61
Issue number	6
DOIs	https://doi.org/10.1057/jors.2008.167
Publication status	Published - 2010 Jun

Bibliographical note

Funding Information:
Acknowledgement—This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2007-614-D00021).

All Science Journal Classification (ASJC) codes

Management Information Systems
Strategy and Management
Management Science and Operations Research
Marketing

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10.1057/jors.2008.167

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Dynamic preventive maintenance scheduling of the modules of fighter aircraft based on random effects regression model

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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