Cargando…

Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission

The need to reduce carbon emission to cope with climate change has gradually become a global consensus, which also poses a great challenge to cold-chain logistics companies. It forces them to implement green distribution strategies. To help the distribution companies reduce carbon emission, this pap...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Qi, Zhu, Shenjun, Li, Yanhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322474/
https://www.ncbi.nlm.nih.gov/pubmed/35886525
http://dx.doi.org/10.3390/ijerph19148675
_version_ 1784756313317703680
author Yao, Qi
Zhu, Shenjun
Li, Yanhui
author_facet Yao, Qi
Zhu, Shenjun
Li, Yanhui
author_sort Yao, Qi
collection PubMed
description The need to reduce carbon emission to cope with climate change has gradually become a global consensus, which also poses a great challenge to cold-chain logistics companies. It forces them to implement green distribution strategies. To help the distribution companies reduce carbon emission, this paper studies two aspects—carbon tax value and investing in the freshness-keeping cost—and proposes corresponding solutions. A new green vehicle-routing model for fresh agricultural products with the goal of minimizing the total cost is proposed. To solve the model proposed, an improved ant-colony optimization (IACO) is designed specifically. On one hand, the experimental results show that the increase in carbon tax will restrict the carbon emission behaviors of the distribution companies, but it will also reduce their economic benefits to a certain extent, at the same time. On the other hand, investing in the freshness-keeping cost can help actively achieve the carbon emission reduction target, reduce the loss of fresh agricultural products in the distribution process, improve the company’s economic benefits and satisfy customers. The comparison results of different algorithms prove that the IACO proposed in this paper is more effective in solving the model, which can help increase the economic benefits of the companies and reduce carbon emission. This study provides a new solution for cold-chain logistics distribution companies to reduce carbon emission in the distribution process, and also provides a reference for government departments to formulate carbon tax policies.
format Online
Article
Text
id pubmed-9322474
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93224742022-07-27 Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission Yao, Qi Zhu, Shenjun Li, Yanhui Int J Environ Res Public Health Article The need to reduce carbon emission to cope with climate change has gradually become a global consensus, which also poses a great challenge to cold-chain logistics companies. It forces them to implement green distribution strategies. To help the distribution companies reduce carbon emission, this paper studies two aspects—carbon tax value and investing in the freshness-keeping cost—and proposes corresponding solutions. A new green vehicle-routing model for fresh agricultural products with the goal of minimizing the total cost is proposed. To solve the model proposed, an improved ant-colony optimization (IACO) is designed specifically. On one hand, the experimental results show that the increase in carbon tax will restrict the carbon emission behaviors of the distribution companies, but it will also reduce their economic benefits to a certain extent, at the same time. On the other hand, investing in the freshness-keeping cost can help actively achieve the carbon emission reduction target, reduce the loss of fresh agricultural products in the distribution process, improve the company’s economic benefits and satisfy customers. The comparison results of different algorithms prove that the IACO proposed in this paper is more effective in solving the model, which can help increase the economic benefits of the companies and reduce carbon emission. This study provides a new solution for cold-chain logistics distribution companies to reduce carbon emission in the distribution process, and also provides a reference for government departments to formulate carbon tax policies. MDPI 2022-07-16 /pmc/articles/PMC9322474/ /pubmed/35886525 http://dx.doi.org/10.3390/ijerph19148675 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Qi
Zhu, Shenjun
Li, Yanhui
Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title_full Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title_fullStr Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title_full_unstemmed Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title_short Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission
title_sort green vehicle-routing problem of fresh agricultural products considering carbon emission
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322474/
https://www.ncbi.nlm.nih.gov/pubmed/35886525
http://dx.doi.org/10.3390/ijerph19148675
work_keys_str_mv AT yaoqi greenvehicleroutingproblemoffreshagriculturalproductsconsideringcarbonemission
AT zhushenjun greenvehicleroutingproblemoffreshagriculturalproductsconsideringcarbonemission
AT liyanhui greenvehicleroutingproblemoffreshagriculturalproductsconsideringcarbonemission