Optimization of Stochastic Cargo Container Loading Plans for Air Express Delivery

Author

Tang, Ching-Hui ; Chang, Hsin-Wei

Author_Institution

Dept. of Air Transp., Kainan Univ., Taoyuan, Taiwan

fYear

2010

fDate

23-25 April 2010

Firstpage

416

Lastpage

420

Abstract

In this study, we develop a solution method for solving air express cargo loading problems under stochastic demands. The method is designed by combining a scenario decomposition technique and genetic algorithm. This increases the solution accuracy, thus helping carriers obtain a better container loading plan, which will improve their profitability. Numerical tests are performed to evaluate the performance of the solution method using data for the Asian operations of an international express carrier.

Keywords

freight containers; freight handling; genetic algorithms; goods distribution; profitability; stochastic processes; transportation; Asian operation; air express cargo loading; air express delivery; genetic algorithm; international express carrier; optimization; profitability; scenario decomposition; stochastic cargo container loading plan; stochastic demand; Air transportation; Computer networks; Containers; Design methodology; Genetic algorithms; Optimization methods; Performance evaluation; Profitability; Stochastic processes; Testing; air express; air transportation; cargo loading problems; scenario decomposition; stochastic demands;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Network Technology (ICCNT), 2010 Second International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-4042-9

Electronic_ISBN

978-1-4244-6962-8

Type

conf

DOI

10.1109/ICCNT.2010.74

Filename

5474463