Abstract
This paper proposes a logistics vehicle routing problem model based on the sustainable development theory, and develops a multi-objective planning model that includes social indicators, economic indicators and environmental indicators. Minimum total cost as a goal,that includes social costs, fixed costs, fuel costs, delay costs, CO2 emission costs and PM emissions costs. The particle swarm optimization was proposed to solve the case. The impact of different carbon dioxide prices on economic costs and environmental costs were discussed. The results show that increasing carbon dioxide prices can reduce pollutant emissions and lower operating costs. Finally the limitations and future research directions of this study are discussed.
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Li, Y., Lim, M.K., Xiong, W. (2018). An Optimization Model of Vehicle Routing Problem for Logistics Based on Sustainable Development Theory. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_16
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DOI: https://doi.org/10.1007/978-981-13-2396-6_16
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