Research on vehicle routing planning of cold chain logistics distribution with window based on carbon emissions measurement

Jia Tian; Jing Wang

doi:10.1117/12.2646620

14 November 2022 Research on vehicle routing planning of cold chain logistics distribution with window based on carbon emissions measurement

Jia Tian, Jing Wang

Author Affiliations +

Proceedings Volume 12299, International Conference on Sustainable Technology and Management (ICSTM 2022); 122990E (2022) https://doi.org/10.1117/12.2646620
Event: International Conference on Sustainable Technology and Management (ICSTM 2022), 2022, Macao, China

Abstract

Since the implementation of China's dual carbon policy, the whole industry has actively carried out low-carbon and green transformation. As a vital industry of China's economic development, logistics industry is a "large carbon emissions industry", so it should make efforts to respond to the call of "double carbon". The comprehensive modal emissions modeling (CMEM) for cold chain logistics distribution is introduced in this study, along with the calculation method for refrigerating and distributing carbon emissions during the cold chain vehicle distribution process. A mathematical model for distribution path planning and a better ant colony solution method were developed with the goal of reducing overall carbon emissions. By contrasting the numerical experiments with the path planning under the time and cost objectives, the viability of the model and algorithm was confirmed. This study has a good theoretical explanation and practical guiding significance for the cold chain logistics industry to implement green transformation to assist the realization of dual carbon goals.

Citation Download Citation

Jia Tian and Jing Wang "Research on vehicle routing planning of cold chain logistics distribution with window based on carbon emissions measurement", Proc. SPIE 12299, International Conference on Sustainable Technology and Management (ICSTM 2022), 122990E (14 November 2022); https://doi.org/10.1117/12.2646620

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