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A Model of Aircraft Support Concept Evaluation Based on DEA and PCA

Author

Listed:
  • Lin Bin

    (School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072, China)

  • Song Dong

    (School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072, China)

  • Liu Zhiyue

    (School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072, China)

Abstract

With the vigorous development of equipment manufacturing industry in China, higher requirements to the equipment supportability are put forward. How to evaluate the supportability of equipments (especially the aviation equipment-aircraft) objectively and correctly is the problem to be solved in the development of aviation equipments construction, demonstration and battle application. Aimed at the needs of the supportability analysis of complex equipment systems-aircraft, a model of aircraft support concept evaluation based on DEA (data envelopment analysis) and PCA (principal component analysis) is proposed. The model is used to evaluate a certain aircraft support concept. The process and the results of evaluation show that proposed model is feasible and effective. The model is suitable for advanced aircraft support concept evaluation. The feasibility and effectiveness of the proposed model is verified by the analysis of the evaluation results. This method is applicable to the evaluation of aircraft support concepts.

Suggested Citation

  • Lin Bin & Song Dong & Liu Zhiyue, 2018. "A Model of Aircraft Support Concept Evaluation Based on DEA and PCA," Journal of Systems Science and Information, De Gruyter, vol. 6(6), pages 563-576, December.
  • Handle: RePEc:bpj:jossai:v:6:y:2018:i:6:p:563-576:n:6
    DOI: 10.21078/JSSI-2018-563-14
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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