CLC number: U11
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-10-29
Cited: 2
Clicked: 5519
Yu-dong Xue, Takashi Irohara. A time-space network based international transportation scheduling problem incorporating CO2 emission levels[J]. Journal of Zhejiang University Science A, 2010, 11(12): 927-932.
@article{title="A time-space network based international transportation scheduling problem incorporating CO2 emission levels",
author="Yu-dong Xue, Takashi Irohara",
journal="Journal of Zhejiang University Science A",
volume="11",
number="12",
pages="927-932",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1001045"
}
%0 Journal Article
%T A time-space network based international transportation scheduling problem incorporating CO2 emission levels
%A Yu-dong Xue
%A Takashi Irohara
%J Journal of Zhejiang University SCIENCE A
%V 11
%N 12
%P 927-932
%@ 1673-565X
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1001045
TY - JOUR
T1 - A time-space network based international transportation scheduling problem incorporating CO2 emission levels
A1 - Yu-dong Xue
A1 - Takashi Irohara
J0 - Journal of Zhejiang University Science A
VL - 11
IS - 12
SP - 927
EP - 932
%@ 1673-565X
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1001045
Abstract: Environmental problems have received a great deal of attention in recent years. In particular, CO2 emissions worsen global warming and other environmental problems. The transport sector accounts for 20% of the total CO2 emissions. Therefore, the CO2 emission reduction of the transport sector is of great importance. In order to reduce emissions effectively, it is necessary to change the distribution and transportation processes. The purpose of this study is to minimize both the transportation costs and CO2 emissions during transportation. Our model considers a transportation scheduling problem in which loads are transported from an overseas production base to three domestic demand centers. The need for time-space networks arises naturally to improve the model. It is possible to know the distance carriers are moving, and also consider the timetables of carriers during transportation. Carrier choice, less-than carrier load, and domestic transportation among demand centers are considered as the three target areas to reduce CO2 emissions during the distribution process. The research model was formulated as a mixed integer programming (MIP) problem. It achieves cost reduction, and will contribute to improvement of the natural environment.
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