ReviewInternational journal of environmental research and public health2019
A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions.
Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Research on Cold Chain Logistics Joint Distribution Vehicle Routing Optimization Based on Uncertainty Entropy and Time-Varying Network.Entropy (Basel, Switzerland) · 2025Article
- Systematic transformation of urban cold chain networks: From cross-regional dependencies to sustainable local excellence.PloS one · 2025Article
- Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model.Sensors (Basel, Switzerland) · 2024Article
- Optimization of frozen goods distribution logistics network based on k-means algorithm and priority classification.Scientific reports · 2024Article
- Delivery routing problem of pure electric vehicle with multi-objective pick-up and delivery integration.PloS one · 2023Article
- Risk Assessment of Import Cold Chain Logistics Based on Entropy Weight Matter Element Extension Model: A Case Study of Shanghai, China.International journal of environmental research and public health · 2022Article
- Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission.International journal of environmental research and public health · 2022Article
- Assessing e-commerce impacts on China's COEnvironmental science and pollution research international · 2021Article
- Multi-objective cold chain logistic distribution center location based on carbon emission.Environmental science and pollution research international · 2021Article
- Optimization of Vehicle Routing for Waste Collection and Transportation.International journal of environmental research and public health · 2020Article
- A Chance-Constrained Vehicle Routing Problem for Wet Waste Collection and Transportation Considering Carbon Emissions.International journal of environmental research and public health · 2020Article
- A novel bi-objective model of cold chain logistics considering location-routing decision and environmental effects.PloS one · 2020Article
- A Comparative Study on the Routing Problem of Electric and Fuel Vehicles Considering Carbon Trading.International journal of environmental research and public health · 2019Article
- Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions.International journal of environmental research and public health · 2019Article
- An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem.International journal of environmental research and public health · 2019Review
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Under fierce market competition and the demand for low-carbon economy, cold chain logistics companies have to pay attention to customer satisfaction and carbon emissions for better development. In order to simultaneously consider cost, customer satisfaction, and carbon emissions in the cold chain logistics path optimization problem, based on the idea of cost⁻benefit, this paper proposes a comprehensive cold chain vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied customer. For customer satisfaction, this paper uses the punctuality of delivery as the evaluation standard. For carbon emissions, this paper introduces the carbon trading mechanism to calculate carbon emissions costs. An actual case data is used with a cycle evolutionary genetic algorithm to carry out computational experiments in the model. First, the effectiveness of the algorithm and model were verified by a numerical comparison experiment. The optimization results of the model show that increasing the total cost by a small amount can greatly improve average customer satisfaction, thereby obtaining a highly cost-effective solution. Second, the impact of carbon price on total costs, carbon emissions, and average customer satisfaction have also been numerically analyzed. The experimental results show that as carbon price increases, there are two opposite trends in total costs, depending on whether carbon quota is sufficient. Increasing carbon price within a certain range can effectively reduce carbon emissions, but at the same time it will reduce average customer satisfaction to a certain extent; there is a trade-off between carbon emissions and customer satisfaction. This model enriches the optimization research of cold chain logistics distribution, and the study results complement the impact research of carbon price on carbon emissions and customer satisfaction. Finally, some practical managerial implications for enterprises and government are offered.
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