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8 March 2023 Study on location-routing-problem of rural logistics network considering carbon emissions
Hao Zhang, Xifu Wang, Zhen Zhang
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Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 1258619 (2023) https://doi.org/10.1117/12.2670308
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China
Abstract
In recent years, with the rapid development of the digital economy and the rise of the rural e-commerce economy, the rural sinking logistics market has gradually demonstrated its potential. However, most of the current rural logistics problems are the low penetration rate of new energy technologies, the widespread idling of vehicles and so on, leading to the high carbon emissions of rural logistics. In this context, based on the consideration of the application of new energy, delivery strategy, vehicle carbon emission calculation and other low carbon optimization methods, this paper establishes a location-routing optimization model with the lowest comprehensive cost of node construction cost, operation cost, transportation cost, carbon emission cost and other optimization goals. Taking Jiangcheng County, Pu'er City as the background, this paper analyzes a calculation example, and compares the carbon emission constraints in the model. The reliability and effectiveness of the model and algorithm are verified.
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Hao Zhang, Xifu Wang, and Zhen Zhang "Study on location-routing-problem of rural logistics network considering carbon emissions", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 1258619 (8 March 2023); https://doi.org/10.1117/12.2670308
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KEYWORDS
Mathematical optimization
Transportation
Analytical research
Network architectures
Algorithms
Data modeling
Genetic algorithms
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