Maintenance scheduling of aircrafts based on multi-criteria optimization and preference programming

Jian Jun Ou, An Zhang, Lin Zhong

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The multi-criteria optimization technology and preference programming theory are introduced into maintenance scheduling of fighter aircraft feet. First, the key factors of maintenance scheduling are analyzed and the discrete-event simulation model is used to present it. Then, non-dominated solutions are obtained by means of the multi-criteria optimization technology. A multi-attribute decision analysis model is used to support the maintenance decision maker in selecting the preferred non-dominated solution. Uncertainty about the values of the objective functions and incomplete preference statements are incorporated into the selection by using intervals and preference programming. The simulation results show that the presented approach provides an effective way to construct and update maintenance schedules and improve schedules.

Original languageEnglish
Pages (from-to)1346-1350
Number of pages5
JournalXitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume35
Issue number5
StatePublished - 25 May 2015

Keywords

  • Discrete-event simulation
  • Maintenance scheduling
  • Multi-criteria optimization
  • Preference programming
  • Uncertainty

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