Recently, the problem of climate is becoming more and more serious and the low carbon idea is accepted by people gradually. Meanwhile, the China’s logistic develop rapidly. Whereas, distribution as the key part, its importance is obvious to see. So, it is significant to research the distribution of logistic activity based on low-carbon with the low-carbon economy put forward. In this dissertation, the paper analyzes and summarizes the research at home and abroad. And then it distinguishes the different distribution model from economy, service and carbon. Besides, it also combines the joint distribution, the green logistic, circular logistic and reverse logistic to contrast. Based on this, the paper propose the way of calculating carbon emission and then build the math model of calculating carbon emission during distribution activity. At last, it uses the genetic algorithm as a tool to set up a experience platform. By using the platform, it researches the distribution math model based on the carbon emission. It also analyzes the result of the experience, and improve the data of the genetic algorithm.
| Published in | International Journal of Theoretical and Applied Mathematics (Volume 5, Issue 3) |
| DOI | 10.11648/j.ijtam.20190503.11 |
| Page(s) | 37-43 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Logistics Distribution, Carbon Emissions, Genetic Algorithm
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APA Style
Yu Xiaohao. (2019). Research on Logistics Distribution Optimization Based on Low Carbon Constraints. International Journal of Theoretical and Applied Mathematics, 5(3), 37-43. https://doi.org/10.11648/j.ijtam.20190503.11
ACS Style
Yu Xiaohao. Research on Logistics Distribution Optimization Based on Low Carbon Constraints. Int. J. Theor. Appl. Math. 2019, 5(3), 37-43. doi: 10.11648/j.ijtam.20190503.11
AMA Style
Yu Xiaohao. Research on Logistics Distribution Optimization Based on Low Carbon Constraints. Int J Theor Appl Math. 2019;5(3):37-43. doi: 10.11648/j.ijtam.20190503.11
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Download@article{10.11648/j.ijtam.20190503.11,
author = {Yu Xiaohao},
title = {Research on Logistics Distribution Optimization Based on Low Carbon Constraints},
journal = {International Journal of Theoretical and Applied Mathematics},
volume = {5},
number = {3},
pages = {37-43},
doi = {10.11648/j.ijtam.20190503.11},
url = {https://doi.org/10.11648/j.ijtam.20190503.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20190503.11},
abstract = {Recently, the problem of climate is becoming more and more serious and the low carbon idea is accepted by people gradually. Meanwhile, the China’s logistic develop rapidly. Whereas, distribution as the key part, its importance is obvious to see. So, it is significant to research the distribution of logistic activity based on low-carbon with the low-carbon economy put forward. In this dissertation, the paper analyzes and summarizes the research at home and abroad. And then it distinguishes the different distribution model from economy, service and carbon. Besides, it also combines the joint distribution, the green logistic, circular logistic and reverse logistic to contrast. Based on this, the paper propose the way of calculating carbon emission and then build the math model of calculating carbon emission during distribution activity. At last, it uses the genetic algorithm as a tool to set up a experience platform. By using the platform, it researches the distribution math model based on the carbon emission. It also analyzes the result of the experience, and improve the data of the genetic algorithm.},
year = {2019}
}
TY - JOUR T1 - Research on Logistics Distribution Optimization Based on Low Carbon Constraints AU - Yu Xiaohao Y1 - 2019/09/18 PY - 2019 N1 - https://doi.org/10.11648/j.ijtam.20190503.11 DO - 10.11648/j.ijtam.20190503.11 T2 - International Journal of Theoretical and Applied Mathematics JF - International Journal of Theoretical and Applied Mathematics JO - International Journal of Theoretical and Applied Mathematics SP - 37 EP - 43 PB - Science Publishing Group SN - 2575-5080 UR - https://doi.org/10.11648/j.ijtam.20190503.11 AB - Recently, the problem of climate is becoming more and more serious and the low carbon idea is accepted by people gradually. Meanwhile, the China’s logistic develop rapidly. Whereas, distribution as the key part, its importance is obvious to see. So, it is significant to research the distribution of logistic activity based on low-carbon with the low-carbon economy put forward. In this dissertation, the paper analyzes and summarizes the research at home and abroad. And then it distinguishes the different distribution model from economy, service and carbon. Besides, it also combines the joint distribution, the green logistic, circular logistic and reverse logistic to contrast. Based on this, the paper propose the way of calculating carbon emission and then build the math model of calculating carbon emission during distribution activity. At last, it uses the genetic algorithm as a tool to set up a experience platform. By using the platform, it researches the distribution math model based on the carbon emission. It also analyzes the result of the experience, and improve the data of the genetic algorithm. VL - 5 IS - 3 ER -
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