Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision

Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated...

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Autores principales:	Hanwen Liu, Xiaobing Liu, Sardar M. N. Islam, Xueqiao Yu, Qiqi Miao, Yapin Chen, Lin Lin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e62f0cf7f13a4faead0be61e5355857f
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spelling	oai:doaj.org-article:e62f0cf7f13a4faead0be61e5355857f2021-12-02T18:02:06ZCustomer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision10.1038/s41598-021-98028-22045-2322https://doaj.org/article/e62f0cf7f13a4faead0be61e5355857f2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98028-2https://doaj.org/toc/2045-2322Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost.Hanwen LiuXiaobing LiuSardar M. N. IslamXueqiao YuQiqi MiaoYapin ChenLin LinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
description	Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost.
format	article
author	Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin
author_facet	Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin
author_sort	Hanwen Liu
title	Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
title_short	Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
title_full	Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
title_fullStr	Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
title_full_unstemmed	Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
title_sort	customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e62f0cf7f13a4faead0be61e5355857f
work_keys_str_mv	AT hanwenliu customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT xiaobingliu customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT sardarmnislam customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT xueqiaoyu customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT qiqimiao customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT yapinchen customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision AT linlin customerdemanddrivenlowcarbonvehiclescombinedstrategyandrouteoptimisationintegrateddecision
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Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision

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