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), 2024. Published by Science Publishing Group |
Logistics Distribution, Carbon Emissions, Genetic Algorithm
| [1] | Tonya Boone•Vaidyanathan Jayaraman, Ram Ganeshan. Sustainable Supply Chains: Models, Methods, and Public Policy Implications [M]. Springer New York Dordrecht Heidelberg London. |
| [2] | M. Soysal n, J. M. Bloemhof-Ruwaard, J. G. A. J. vander Vorst. Modelling food logistics networks with emission considerations: The case of an international beef supply chain [J]. Int. J. Production Economics, Accepted 10 December 2013. |
| [3] | Tsai Chi Kuo, Hsiao Min Chen, Chia Yi Liu, Jui-Che Tu, and Tzu-Chang Yeh. Applying Multi-Objective Planning in Low-Carbon Product Design [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING Vol. 15, No. 2, pp. 241-249. |
| [4] | Ki-Hoon Lee. Carbon accounting for supply chain management in the automobile industry [J]. Journal of Cleaner Production 36 (2012) 83e93. |
| [5] | Zheng Kai, Zhu Xi, Yan Yihong. Low Carbon Logistics [M]. Beijing: Beijing Jiaotong University Press, 2011.8. |
| [6] | Ding Lianhong, Yang Mingrong. Review of Low Carbon Logistics Research [J]. Logistics Technology. ISSN. 1005-152X. 2013.03.005. |
| [7] | Jiang Yan, Wu Xiuguo. Analysis of low carbon logistics [A]. Economy and Management. 1003-3890 (2011) 07-0079-05. |
| [8] | Yang Yuwei. Summary of research on low carbon logistics at home and abroad [J]. Logistics Engineering and Management. ISSN. 1674-4993.2011.03.001. |
| [9] | Zhang Jinying, Shi Meizhen. Analysis of the “four in one” low carbon logistics talent training model [J]. Logistics Technology. ISSN. 1005-152X. 2010.15.050. |
| [10] | Li Yang, Wei Heng. Problems and countermeasures of low carbon logistics of agricultural products in China [A]. Journal of Harbin University of Commerce. 167-7112(2011)06-0019-05. |
| [11] | Lu Duan, Tang Limin. Research on System Dynamics Model of Low Carbon Linkage Development in Manufacturing Industry and Logistics Industry. Logistics Engineering and Management [J]. ISSN. 1674-4993.2013.03.034. |
| [12] | Li Xiaoxiang, Lu Xiaocheng. Research on China's low carbon logistics financial support model [A]. China's circulation economy. 1007-8266 (2010)02-0027-04. |
| [13] | Cui Yuying, Luo Junhao, Ji Jianhua. Research on logistics network design under carbon tax and carbon trading environment [J]. Science and Technology Management Research. ISSN 1000-7695.2012.22.051. |
| [14] | Logistics [M]. Beijing: Higher Education Press, 2009. 2. |
| [15] | Song Hua, Yu Yan. Modern Logistics Management [M]. Beijing: China Renmin University Press, 2012. 7. |
| [16] | Yu Baoqin, Wu Jinjin. Modern Logistics Distribution Management [M]. Beijing: Peking University Press, 2009.8 |
| [17] | Hartmut Zadek, Robert Schulz. Methods for the Calculation of CO2 Emissions in Logistics Activities [J]. W. Dangelmaier et al. (Eds.): IHNS 2010, LNBIP 46, pp. 263–268, 2010. |
| [18] | Ki-Hoon Lee. Integrating carbon footprint into supply chain management: the case of Hyundai Motor Company (HMC) in the automobile industry [J]. Journal of Cleaner Production 19 (2011) 1216e1223. |
| [19] | Song Yu. Research on low carbon effect of building circulation logistics system [D]. Beijing Jiaotong University, July 2011. |
| [20] | Lang Maoxiang. Distribution Vehicle Optimization Scheduling Model and Algorithm [M]. Beijing: Publishing House of Electronics Industry, 2009. |
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
Share This Article
Twitter
Linked In
Facebook
Copy
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 -
Information
Email: