Research on Vehicle Distribution Route Optimization Considering Carbon Emissions

Kaiwei Jia and Shengnan Wu ()
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Kaiwei Jia: Liaoning Technical University, School of Business and Management
Shengnan Wu: Liaoning Technical University, School of Business and Management

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 706-714 from Springer

Abstract: Abstract The distribution of low carbon logistics is very important to the current environmental issues given the background of the market economy’s and logistics industry’s rapid development, the growing scale of distribution, the low efficiency of distribution costs, and the influence of carbon emission pollution. In order to reduce the overall cost of distribution, this work develops a general function model of vehicle carbon emissions and solves it using the neighborhood search algorithm. An example demonstrates the model’s viability. The findings of the study demonstrate that the distribution model increases distribution effectiveness while safeguarding the environment, and it can also reduce costs, offering direction and a point of reference for the use of low-carbon logistics distribution.

Keywords: carbon emission; neighborhood search algorithm; path optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_71

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DOI: 10.2991/978-94-6463-256-9_71

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