DocumentCode
537660
Title
Logistic Planning and Decision under Uncertainty
Author
Xiaolong, Hu
Author_Institution
Inst. of Real Estate, Shanghai Univ., Shanghai, China
Volume
1
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
672
Lastpage
675
Abstract
The article analyzes the empty container reposition (ECR) issue with uncertain conditions which commonly encountered in realistic situation, and establishes an opportunity restriction ECR model based on the random demand of the inland reposition system. Also it discusses the resolution of the ECR model in which the objective function contains random parameters, and consequently provides two-Phase Stochastic Simulation GA to calculate the reposition model. Meanwhile with the sample analysis and comparison with ECR under a certain condition, it is proved that the model is feasible and also in accordance with realistic situation, by which a new idea is offered to investigate the topic of random inland ECR.
Keywords
containers; genetic algorithms; goods distribution; logistics; planning; stochastic programming; genetic algorithm; inland empty container reposition; logistic planning; random demand; two phases-stochastic simulation; Genetic Algorithm (GA); empty container reposition (ECR); stochastic simulation; two phases;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.104
Filename
5662994
Link To Document