Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

Research on Optimization of Logistics Transportation Mode Based on Multimodal Transportation

Authors
Xiangfeng Zhou, Juan Du
Corresponding Author
Juan Du
Available Online December 2018.
DOI
10.2991/febm-18.2018.72How to use a DOI?
Keywords
Multimodal transport; Time window; Path optimization; Genetic algorithm
Abstract

Multimodal transport is an efficient way of transportation organization. It can make full use of transportation resources, promote the rational division of labor of various modes of transportation, reduce transportation cost and logistics cost.This paper links the whole vehicle logistics with multimodal transport, and builds a multi-modal transport path optimization model with time windows. The total logistics cost is currently the lowest. Considering transportation cost, replacement cost, storage cost or penalty cost and risk cost that may occur in transportation and reloading, the genetic algorithm is used to solve it, which is realized in Matlab and combined with case analysis.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
December 2018
ISBN
10.2991/febm-18.2018.72
ISSN
2352-5428
DOI
10.2991/febm-18.2018.72How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiangfeng Zhou
AU  - Juan Du
PY  - 2018/12
DA  - 2018/12
TI  - Research on Optimization of Logistics Transportation Mode Based on Multimodal Transportation
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 320
EP  - 322
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.72
DO  - 10.2991/febm-18.2018.72
ID  - Zhou2018/12
ER  -