Cargando…

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

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 lo...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Gaoyuan, Tao, Fengming, Li, Lixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406631/
https://www.ncbi.nlm.nih.gov/pubmed/30781502
http://dx.doi.org/10.3390/ijerph16040576
_version_ 1783401358718664704
author Qin, Gaoyuan
Tao, Fengming
Li, Lixia
author_facet Qin, Gaoyuan
Tao, Fengming
Li, Lixia
author_sort Qin, Gaoyuan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6406631
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64066312019-03-21 A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions Qin, Gaoyuan Tao, Fengming Li, Lixia Int J Environ Res Public Health Article 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. MDPI 2019-02-16 2019-02 /pmc/articles/PMC6406631/ /pubmed/30781502 http://dx.doi.org/10.3390/ijerph16040576 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qin, Gaoyuan
Tao, Fengming
Li, Lixia
A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title_full A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title_fullStr A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title_full_unstemmed A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title_short A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions
title_sort vehicle routing optimization problem for cold chain logistics considering customer satisfaction and carbon emissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406631/
https://www.ncbi.nlm.nih.gov/pubmed/30781502
http://dx.doi.org/10.3390/ijerph16040576
work_keys_str_mv AT qingaoyuan avehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions
AT taofengming avehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions
AT lilixia avehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions
AT qingaoyuan vehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions
AT taofengming vehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions
AT lilixia vehicleroutingoptimizationproblemforcoldchainlogisticsconsideringcustomersatisfactionandcarbonemissions