Integrated Networks of Third Party Logistics Service Providers
Yong Peng, Hongyun Yao
Abstract
Yong Peng, Hongyun Yao
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. Product demand and return amount can vary randomly. Then we develop a Genetic Algorithm to solve this NP-hard problem and discuss its convergence. At last an example is available.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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. Product demand and return amount can vary randomly. Then we develop a Genetic Algorithm to solve this NP-hard problem and discuss its convergence. At last an example is available.
Key concepts: Service provider, Third party, Computer science, Convergence (economics), Service (business), Integrated logistics support, Genetic algorithm, Product (mathematics)