Acquisition of New Aircraft with Probabilistic Dynamic Programming

スポンサーリンク

概要

• 論文の詳細を見る

• This study deals with an aircraft acquisition decision model to tackle the stochastic demand of the air transportation system. Probabilistic dynamic programming is applied to develop an optimization model with the aim to maximize the operational profit of the airline company. Correspondingly, a probable phenomenon is defined to comprehend the uncertain state variables so that the targeted level of service by the airline company could be met satisfactorily. The proposed probabilistic dynamic programming model is then converted into a non-linear programming model as the objective function and the constraints have non-linear expression with respect to the decision variables. Later, the proposed model and the solution method are examined with an illustrative case study to determine the number and the types of new aircraft that should be purchased at every time period. The results show that the proposed methodology is viable in providing the optimal solution.

• Eastern Asia Society for Transportation Studiesの論文

著者

• KHOO Hooi

  Department of Civil Engineering, National University of Singapore

• TEOH Lay

  Department of Mathematical and Actuarial Sciences Faculty of Engineering and Science Universiti Tunku Abdul Rahman Setapak Campus

• KHOO Hooi

  Department of Civil Engineering Faculty of Engineering and Science Universiti Tunku Abdul Rahman Setapak Campus

関連論文

• Effect of B2O3 addition on dielectric properties and microstructure of Ba0.6Sr0.4TiO3–CuO ceramics
• Synthesis of Tungsten Oxide Particles by Chemical Deposition Method
• AN OPTIMAL CONTRAFLOW LANE CONFIGURATION SCHEME WITH STOCHASTIC USER EQUILIBRIUM CONSTRAINTS
• Acquisition of New Aircraft with Probabilistic Dynamic Programming
• Synthesis and Characterization of Mesoporous SiO_2-CaO-P_2O_5 Bioactive Glass by Sol-Gel Process

スポンサーリンク