Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)

Multi-objective model for logistics distribution programming considering carbon emission and service level

Authors
Tong He
Corresponding Author
Tong He
Available Online July 2017.
DOI
https://doi.org/10.2991/iccte-17.2017.67How to use a DOI?
Keywords
Logistics distribution network; carbon emissions; logistics service level; multi-objective; priority-based tabu search algorithm
Abstract
In order to seek the low-carbon environmental protection and high service level of logistics distribution,a multi-objective optimization model of logistics distribution network is proposed.Firstly,the multi-objective optimization model of logistics distribution network is established by using the multi-objective optimization theory,which takes the total network logistics cost as the minimum,the least carbon emissions and the maximization logistics service level as the goal.Secondly,the fuzzy programming method is used to transform the multi-objective programming model into a single objective programming model,and the tabu search algorithm based on priority is used to solve the model.And the model and the algorithm are verified by example.The results shows that the 10 solutions and 10 logistic distribution schemes are affected by the subjective preferences of the decision-makers by solving the mutli-objective optimization model.In addition,the total cost of the logistics of each scheme is inversely proportional to the level of service.A scientific and feasible logistics network planning method with low carbon and high customer satisfaction is obtained.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Tong He
PY  - 2017/07
DA  - 2017/07
TI  - Multi-objective model for logistics distribution programming considering carbon emission and service level
BT  - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
PB  - Atlantis Press
SP  - 378
EP  - 388
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-17.2017.67
DO  - https://doi.org/10.2991/iccte-17.2017.67
ID  - He2017/07
ER  -