Document Type

Article

Publication Date

1-2015

Publication Title

Journal of Air Transport Management

Volume

42

First Page

101

Last Page

109

DOI

10.1016/j.jairtraman.2014.09.006

Keywords

Aircraft maintenance, Spare parts, Inventory management, Non-linear programming, Failure distribution, Iteration method

Abstract

In airline industries, the aircraft maintenance cost takes up about 13% of the total operating cost. It can be reduced by a good planning. Spare parts inventories exist to serve the maintenance planning. Compared with commonly used reorder point system (ROP) and forecasting methods which only consider historical data, this paper presents two non-linear programming models which predict impending demands based on installed parts failure distribution. The optimal order time and order quantity can be found by minimizing total cost. The first basic mathematical model assumes shortage period starts from mean time to failure (MTTF). An iteration method and GAMS are used to solve this model. The second improved mathematical model takes into account accurate shortage time. Due to its complexity, only GAMS is applied in solution methodology. Both models can be proved effective in cost reduction through revised numerical examples and their results. Comparisons of the two models are also discussed.

Comments

Final version available at doi:10.1016/j.jairtraman.2014.09.006. Copyright Elsevier 2015.

Available under a CC-BY-NC-ND license.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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