The study of optimum engine shop visit scheduling via genetic algorithm method

Chia Lun Hsu, Tung Wan, Shih Hsiung Chen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The engine is so called "the heart of aircraft" it affects not only flight safety, but also entire aircraft operation cost. The expensive engine maintenance cost is generally about half of the maintenance cost of the whole aircraft. Therefore, it is an essential for airlines to raise the efficiency of engine maintenance and to reduce the maintenance cost. Currently the engine maintenance shop is facing even more severe challenge of dropping cost and improving competitiveness. In this research several main factors are specified in engine shop visit consideration, and the method of Genetic Algorithm (GA) is applied to investigate the optimum scheduling of engine shop visit. Furthermore, an empirical study is provided in order to show the practicability and usefulness of this method, and the Pratt & Whitney JT8D-200 engines is selected as the object; a view of soft time control and full life cycles is also adapted. It is found that a periodic of every 3 times of shop visits will induce a minimum direct maintenance cost; and three times shop visit within 12,000 cycles is the most economic arrangement, which may have several set of optimum solutions.

Original languageEnglish
Pages (from-to)141-148
Number of pages8
JournalJournal of Aeronautics, Astronautics and Aviation
Volume42
Issue number2
Publication statusPublished - 2010 Jun

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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