Research on Green Transformation of Logistics Distribution Path Planning
DOI: 10.23977/infse.2023.040407 | Downloads: 3 | Views: 118
Author(s)
Xiaoyu Xu 1, Xuelian Guo 1, Yuanyuan Li 1, Xuefeng Liu 1
Affiliation(s)
1 Business School, Shandong University of Technology, Zibo, Shandong, 255000, China
Corresponding Author
Xiaoyu XuABSTRACT
In response to the call of national low-carbon emission reduction, green transformation has become the key to the development of logistics enterprises. In order to reasonably plan the logistics distribution path and realize the coordinated progress of economic benefits and environmental protection goals, this paper monetizes the carbon emissions in the logistics distribution process and converts them into green costs into the accounting of the total distribution costs. The vehicle path model is constructed with the goal of minimizing the total cost. The actual operation data of the logistics enterprise is input into the ant colony algorithm designed by MATLAB software, and the optimal path arrangement and cost of logistics distribution are obtained by solving the model. The research of this paper provides reference for the green transformation of logistics enterprise distribution path, and hopes to provide enlightenment for the sustainable development of logistics enterprises.
KEYWORDS
Logistics distribution path, green transformation, ant colony algorithmCITE THIS PAPER
Xiaoyu Xu, Xuelian Guo, Yuanyuan Li, Xuefeng Liu, Research on Green Transformation of Logistics Distribution Path Planning. Information Systems and Economics (2023) Vol. 4: 62-69. DOI: http://dx.doi.org/10.23977/infse.2023.040407.
REFERENCES
[1] Zhang Qin, Li Hui. An improved genetic algorithm for vehicle routing problem with time windows. Journal of System Administration, 2010, 19 (05):589-592 + 600.
[2] Li Jin, Zhang Jianghua. Research on the impact of carbon trading mechanism on logistics distribution path decision. System engineering theory and practice, 2014, 34 (07):1779-1787.
[3] Sun Xinrui, Li Kunpeng, Liu Tengbo. The pickup and delivery vehicle routing problem considering order pickup time and flexible time window. Operation and management, 2022, 31 (07):9-16.
[4] Demir E, Bektaş T, Laporte G. The bi-objective pollution-routing problem. European Journal of Operational Research, 2014, 232(3): 464-478.
[5] Çimen M, Soysal M. Time-dependent green vehicle routing problem with stochastic vehicle speeds: An approximate dynamic programming algorithm. Transportation Research Part D: Transport and Environment, 2017, 54: 82-98.
[6] Duro J A. International mobility in carbon dioxide emissions. Energy Policy, 2013, 55(4):208–216.
[7] Demir E, Bekta T, Laporte G. A comparative analysis of several vehicle emission models for road freight transportation. Transportation Research Part D Transport and Environment, 2011, 16(5):347-357.
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