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Chinese Journal of Management Science ›› 2008, Vol. 16 ›› Issue (2): 69-75.

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The Research on Optimization Model for Recurrent Training Plan of Aviator Full Flight Simulators

PAN Bang-chuan1,2, SONG Zhi-yong3, XU Bao-guang1, GAO Min-gang1,2, CHI Hong1   

  1. 1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    2. Graduate University of Chinese Academy of Sciences Beijing 100049, China;
    3. Air China, Beijing 100621, China
  • Received:2007-11-06 Revised:2008-03-25 Online:2008-04-30 Published:2008-04-30

Abstract: According to the regulation of civil aviation,pilots need to attend Full Flight Simulator(FFS) recurrent training every six months,according to civil aviation rules.In this paper,we present a multi-objective nonlinear programming model to fulfill aviator recurrent training arrangement.One objective is to make the pilots practice before the end of the duration since the last recurrent training.The other is to make the pilots and copilots match for a practice.The restrictions of the obtainable time of faculty,the number of FFS,the flights scheduled and the duration of the recurrent training are considered.If we take into account the match only,there is a precondition for no bimonthly match.A decomposition algorithm is designed to solve the model and an example is settled.

Key words: multi-objective decision, optimization model, recurrent training, decomposition algorithm

CLC Number: