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A Vehicle Routing Optimization Model for Community Group Buying Considering Carbon Emissions and Total Distribution Costs

Author

Listed:
  • Zhiqiang Liu

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Yanqi Niu

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Caiyun Guo

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

  • Shitong Jia

    (School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China)

Abstract

Under the background of the normalization of COVID-19 prevention and control and the rapid development of e-commerce, community group buying has occupied the market by providing low-priced, fast, and green consumer goods, but with it, the logistics and distribution volume of goods has also increased sharply. In order to reduce environmental pollution and the carbon emissions caused by transportation in the community group buying logistics distribution, it is necessary to investigate a suitable method to optimize vehicle distribution routes and reduce carbon emissions. Taking the lowest total costs of logistics and distribution and the smallest carbon emissions, this article introduces soft time window function and carbon emissions parameters, takes the delivery of goods from the community group buying distribution center in Wu’an Town, Hebei Province to customer points in 14 townships as an example, an optimization model for the distribution route of low carbon vehicles for community group buying based on improved genetic algorithm was constructed, AHP-EW fusion technology was used to calculate carbon emissions and cost weights, and compared with the traditional genetic algorithm and ant colony algorithm two typical heuristic algorithms, the feasibility of the proposed model and the advantages of the improved algorithm are verified, and the research results showed that it can reduce the costs and carbon emissions of vehicle distribution, provide decision-making reference for community group buying logistics enterprise distribution, and promote energy conservation and environmental sustainable development.

Suggested Citation

  • Zhiqiang Liu & Yanqi Niu & Caiyun Guo & Shitong Jia, 2023. "A Vehicle Routing Optimization Model for Community Group Buying Considering Carbon Emissions and Total Distribution Costs," Energies, MDPI, vol. 16(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:931-:d:1035445
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    References listed on IDEAS

    as
    1. Wei Song & Shuailei Yuan & Yun Yang & Chufeng He, 2022. "A Study of Community Group Purchasing Vehicle Routing Problems Considering Service Time Windows," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    2. Alice Vasconcelos Nobre & Caio Cézar Rodrigues Oliveira & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Gil Eduardo Guimarães & Rosley Anholon & Vitor William Batista Martins, 2022. "Analysis of Decision Parameters for Route Plans and Their Importance for Sustainability: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(2), pages 1-12, May.
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