TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost

The time-dependent vehicle routing problem of time windows of fresh agricultural products distribution have been studied by considering both economic cost and environmental cost. A calculation method for road travel time across time periods is designed in this study. A freshness measure function of...

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Autores principales:	Daqing Wu, Chenxiang Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	green vehicle routing problem fresh agricultural products genetic algorithm variable neighborhood descent algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/9c1518b94070447890e4edb3ebdd7a56
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spelling	oai:doaj.org-article:9c1518b94070447890e4edb3ebdd7a562021-11-25T16:31:57ZTDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost10.3390/app1122105792076-3417https://doaj.org/article/9c1518b94070447890e4edb3ebdd7a562021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10579https://doaj.org/toc/2076-3417The time-dependent vehicle routing problem of time windows of fresh agricultural products distribution have been studied by considering both economic cost and environmental cost. A calculation method for road travel time across time periods is designed in this study. A freshness measure function of agricultural products and a measure function of carbon emission rate are employed by considering time-varying vehicle speeds, fuel consumptions, carbon emissions, perishable agricultural products, customers’ time windows, and minimum freshness. A time-dependent green vehicle routing problem with soft time windows (TDGVRPSTW) model is formulated. The object of the TDGVRPSTW model is to minimize the sum of economic cost and environmental cost. According to the characteristics of the model, a new variable neighborhood adaptive genetic algorithm is designed, which integrates the global search ability of the genetic algorithm and the local search ability of the variable neighborhood descent algorithm. Finally, the experimental data show that the proposed approaches effectively avoid traffic congestions, reduce total distribution costs, and promote energy conservation and emission reduction.Daqing WuChenxiang WuMDPI AGarticlegreen vehicle routing problemfresh agricultural productsgenetic algorithmvariable neighborhood descent algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10579, p 10579 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	green vehicle routing problem fresh agricultural products genetic algorithm variable neighborhood descent algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	green vehicle routing problem fresh agricultural products genetic algorithm variable neighborhood descent algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Daqing Wu Chenxiang Wu TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
description	The time-dependent vehicle routing problem of time windows of fresh agricultural products distribution have been studied by considering both economic cost and environmental cost. A calculation method for road travel time across time periods is designed in this study. A freshness measure function of agricultural products and a measure function of carbon emission rate are employed by considering time-varying vehicle speeds, fuel consumptions, carbon emissions, perishable agricultural products, customers’ time windows, and minimum freshness. A time-dependent green vehicle routing problem with soft time windows (TDGVRPSTW) model is formulated. The object of the TDGVRPSTW model is to minimize the sum of economic cost and environmental cost. According to the characteristics of the model, a new variable neighborhood adaptive genetic algorithm is designed, which integrates the global search ability of the genetic algorithm and the local search ability of the variable neighborhood descent algorithm. Finally, the experimental data show that the proposed approaches effectively avoid traffic congestions, reduce total distribution costs, and promote energy conservation and emission reduction.
format	article
author	Daqing Wu Chenxiang Wu
author_facet	Daqing Wu Chenxiang Wu
author_sort	Daqing Wu
title	TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
title_short	TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
title_full	TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
title_fullStr	TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
title_full_unstemmed	TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost
title_sort	tdgvrpstw of fresh agricultural products distribution: considering both economic cost and environmental cost
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9c1518b94070447890e4edb3ebdd7a56
work_keys_str_mv	AT daqingwu tdgvrpstwoffreshagriculturalproductsdistributionconsideringbotheconomiccostandenvironmentalcost AT chenxiangwu tdgvrpstwoffreshagriculturalproductsdistributionconsideringbotheconomiccostandenvironmentalcost
_version_	1718413153519271936

TDGVRPSTW of Fresh Agricultural Products Distribution: Considering Both Economic Cost and Environmental Cost

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