INTEGRATED LOGISTICS NETWORKS MODELING AND GENETIC ALGORITHM DEVELOPING

Yong PENG

doi:10.11175/eastpro.2007.0.143.0

Vol.6 (The 7th International Conference of Eastern Asia Society for Transportation Studies, 2007)

DOI https://doi.org/10.11175/eastpro.2007.0.143.0

Conference information

Host: Eastern Asia Society for Transportation Studies

Academic Paper

INTEGRATED LOGISTICS NETWORKS MODELING AND GENETIC ALGORITHM DEVELOPING

*Yong PENG

Author information

Keywords: third party logistics, integrated networks, forward and reverse logistics, genetic algorithm

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 143

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Abstract

This paper discusses how to integrate forward and reverse logistics to decrease the total cost of third party logistics service providers. A mathematic model is provided without the assumption of straight-line distance. Demand for product and return amount of product can vary randomly in this model. We also allow that the demand of customers can exceed the capacity of their suppliers. Then we develop a Genetic Algorithm to solve this NP-hard problem and discuss its convergence. At last a numerical example is available.

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