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Study to Cost of Air Spares Support Based on IPSO
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Journal of Transportation Technologies·Volume 02 (2012)·Pages 75–77·Published 20 January 2012·DOI10.4236/jtts.2012.21009
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Abstract
Air spares support is general term of using and repairing of aircrafts which is the material foundation of aero technical support, its effectiveness influences operational effectiveness and equipments of aircrafts directly. Based on particle swarm optimization algorithm, a new model is proposed to optimize the distribution of the cost of air spares, it take the funds as resource and the improvement of performance efficiency as objective and deduces the expressions to get the best distribution plan. The results of experiments indicate that this model can make full use of the limited funds and obtain the highest efficiency of air spares support.
KeywordsAir Spares SupportFundParticle Swarm Optimization
- X. C. Han, “The Air Spares Management,” Blue Sky Press, Beijing, 2003.
- B. S. Blanchard “Logistics Engineering and Management,” Prentice Hall, New York, 1998.
- R. C. Zhang and S. Z. Zhao, “Study to Optimize and Dis- tribute the Cost of Air Spares Support,” Journal of Bei- jing University of Aeronautics and Astronautics, Vol. 31, No. 1, 2005, pp. 102-104.
- F. Guo, C. Y. Liu and X. X. Guo, “Optimal Distribution of Aircraft-Spares Support Cost Based on Dynamic Programming Algorithm,” Value Engineering, Vol. 25, No. 10, 2010, pp. 63-64.
- H. D. Zhu and Y. Zhong, “Evaluation of Air Materials Support Effectiveness Based on Utility Function,” Logistics Technology, Vol. 26, No. 8, 2007, pp. 246-248.
- J. Kennedy and R. C. Eberhart, “Particle Swarm Optimi- zation,” IEEE International Conference on Neural Net- work, Perth, 1995, pp. 1942-1948. doi:10.1109/ICNN.1995.488968
- Y. Shi and R. C. Eberhart, “A Modified Particle Swarm Optimizer,” Proceedings of Congress on Evolutionary Computation, Indianapolis, 4-9 May 1998, pp. 79-83.