Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics

Vehicle Routing Problem with Simultaneous Delivery and Pickup for Cold-chain Logistics

Authors
Yingfeng Ji, Hualong Yang, Yong Zhou
Corresponding Author
Yingfeng Ji
Available Online August 2015.
DOI
https://doi.org/10.2991/msam-15.2015.16How to use a DOI?
Keywords
cold-chain logistics; simultaneous delivery and pickup; vehicle routing problem; genetic algorithm
Abstract
In View of the vehicle routing problem with simultaneous delivery and pickup (VRPSDP) for cold-chain logistics, this paper analyzed the cost structure of vehicle fixed cost, running cost, refrigerating cost and cold-chain goods deteriorating cost in the process of delivery and pickup. By minimizing the total cost and integrating the delivery and pickup operation in cold chain logistics, an optimization model of VRPSDP for cold-chain logistics with a single distribution center and multiple client nodes was established. A genetic algorithm was designed to solve the problem. The results of empirical analysis verify that the established model and its algorithms are feasible and effective.
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Proceedings
2015 International Conference on Modeling, Simulation and Applied Mathematics
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
978-94-6252-104-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-15.2015.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingfeng Ji
AU  - Hualong Yang
AU  - Yong Zhou
PY  - 2015/08
DA  - 2015/08
TI  - Vehicle Routing Problem with Simultaneous Delivery and Pickup for Cold-chain Logistics
BT  - 2015 International Conference on Modeling, Simulation and Applied Mathematics
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-15.2015.16
DO  - https://doi.org/10.2991/msam-15.2015.16
ID  - Ji2015/08
ER  -