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Logistics Distribution Path Optimization Considering Carbon Emissions and Multifuel-Type Vehicles

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Publicado en:Journal of Advanced Transportation vol. 2025 (2025)
Autor principal: Ren, Chuanxiang
Otros Autores: Lu, Li, Teng, Juan, Yin, Changchang, Li, Juntao, Ji, Haowei, Wang, Xiaoqi, Fu, Fangfang
Publicado:
John Wiley & Sons, Inc.
Materias:
Integer programming
Customer satisfaction
Mathematical models
Sensitivity analysis
Optimization
Genetic transformation
Air pollution
Environmental impact
Operating costs
Heuristic
Carbon
Energy consumption
Emissions control
Fuzzy logic
Hybrid electric vehicles
Optimization models
Vehicles
Mathematical programming
Emissions
Genetic algorithms
Electric vehicles
Sustainable development
Hydrogen fuels
Linear programming
Algorithms
Logistics
Vehicle routing
Immunoglobulin A
Economic
Environmental
Acceso en línea:Citation/Abstract
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Resumen:With the development of a sustainable economy, higher requirements are put forward for logistics enterprises, which not only need to meet the requirements of profit growth but also to meet the need of sustainable development. A vehicle routing problem (VRP) optimization model considering carbon emissions and multifuel-type vehicles (VRP-CEMF) is proposed to solve the problems of air pollution and high transportation cost in the current logistics distribution. An improved genetic algorithm (IGA) is designed to solve the VRP-CEMF. The impact of carbon emissions and multifuel-type vehicles on the logistics distribution path is explored by a real example simulation. The results show that the logistics distribution path optimization considering carbon emissions and multifuel-type vehicles including hybrid electric vehicles and hydrogen-fueled vehicles can significantly reduce carbon emissions on the premise of ensuring the lowest total cost. Furthermore, the impact of carbon emissions, hydrogen fuel price, and customer demand on the logistics distribution path is discussed by sensitivity analysis. The research results of this paper provide an effective reference for enterprises to control carbon emissions in the process of logistics distribution and promote the green transformation of logistics.
ISSN:0197-6729
2042-3195
0018-1501
DOI:10.1155/atr/6668589
Fuente:ABI/INFORM Global