Evidence map›Paper›PMID 30781502›Full record

ReviewInternational journal of environmental research and public health2019

A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions.

Gaoyuan Qin, Fengming Tao, Lixia Li

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission.International journal of environmental research and public health · 2022
    Article
  8. Assessing e-commerce impacts on China's COEnvironmental science and pollution research international · 2021
    Article
  9. Multi-objective cold chain logistic distribution center location based on carbon emission.Environmental science and pollution research international · 2021
    Article
  10. Optimization of Vehicle Routing for Waste Collection and Transportation.International journal of environmental research and public health · 2020
    Article
  11. Article
  12. Article
  13. A Comparative Study on the Routing Problem of Electric and Fuel Vehicles Considering Carbon Trading.International journal of environmental research and public health · 2019
    Article
  14. Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions.International journal of environmental research and public health · 2019
    Article
  15. An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem.International journal of environmental research and public health · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gaoyuan QinCollege of Mechanical Engineering, Chongqing University, Chongqing 400044, China. qingaoyuan@cqu.edu.cn.
Fengming TaoCollege of Mechanical Engineering, Chongqing University, Chongqing 400044, China. taofengming@cqu.edu.cn.
Lixia LiCollege of Mechanical Engineering, Chongqing University, Chongqing 400044, China. lilixia@cqu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Consumer BehaviorModels, EconomicRefrigerationTransportationAlgorithmsCarbonCarbon DioxideCosts and Cost AnalysisHumansVehicle EmissionsCarbonCarbon DioxideVehicle Emissionscarbon emissionscarbon tradingcold chain logisticscustomer satisfactionvehicle routing problem

Identifiers

PMID30781502
PMCPMC6406631

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.