Analysis of planning results for different tu.

<div><p>Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the vari...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Wu Kai (20614663) (author)
مؤلفون آخرون: Lu Zhijiang (20614666) (author), Bai E. (20614669) (author)
منشور في: 2025
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_version_ 1852023275188649984
author Wu Kai (20614663)
author2 Lu Zhijiang (20614666)
Bai E. (20614669)
author2_role author
author
author_facet Wu Kai (20614663)
Lu Zhijiang (20614666)
Bai E. (20614669)
author_role author
dc.creator.none.fl_str_mv Wu Kai (20614663)
Lu Zhijiang (20614666)
Bai E. (20614669)
dc.date.none.fl_str_mv 2025-01-24T18:59:53Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0305982.t008
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Analysis_of_planning_results_for_different_tu_/28276069
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biophysics
Biotechnology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
scale neighborhood search
even vehicle types
dynamic congestion levels
considering multiple depots
cold chain products
cold chain logistics
algorithm effectively overcomes
various replenishment strategies
considering delivery route
way </ p
national carbon emissions
efficiently solves multi
carbon emissions
replenishment along
delivery objectives
traffic resources
sensitivity coefficients
objective problems
model able
fully utilize
depot condition
computational analysis
dc.title.none.fl_str_mv Analysis of planning results for different tu.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the various vehicle delivery speeds with dynamic congestion levels. Simultaneously, it has developed the cold chain products replenishment strategy by considering delivery route, multi-depot condition and even vehicle types, aiming to minimize the total cost and carbon emissions, and maximizing the cold chain products freshness. To achieve this, this study build up a multi-objective vehicle routing optimization model and designed a hybrid algorithm combining large-scale neighborhood search and NAGA-II. Through computational analysis, this algorithm effectively overcomes the weak local search capability of NAGA-II and efficiently solves multi-objective problems. Moreover, under the simulated random traffic congestion conditions, this model able to demonstrate relatively stable planning results and address complex road traffic situations. Finally, this study able to analyze the impacts of various replenishment strategies, by considering multiple depots and sensitivity coefficients of cold chain products from delivery objectives. The analysis results also provides valuable insights for actual cold chain logistics distribution industry.</p></div>
eu_rights_str_mv openAccess
id Manara_97d85a4167d2c9e1bdca3f9d719d5e86
identifier_str_mv 10.1371/journal.pone.0305982.t008
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28276069
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Analysis of planning results for different tu.Wu Kai (20614663)Lu Zhijiang (20614666)Bai E. (20614669)BiophysicsBiotechnologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedscale neighborhood searcheven vehicle typesdynamic congestion levelsconsidering multiple depotscold chain productscold chain logisticsalgorithm effectively overcomesvarious replenishment strategiesconsidering delivery routeway </ pnational carbon emissionsefficiently solves multicarbon emissionsreplenishment alongdelivery objectivestraffic resourcessensitivity coefficientsobjective problemsmodel ablefully utilizedepot conditioncomputational analysis<div><p>Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the various vehicle delivery speeds with dynamic congestion levels. Simultaneously, it has developed the cold chain products replenishment strategy by considering delivery route, multi-depot condition and even vehicle types, aiming to minimize the total cost and carbon emissions, and maximizing the cold chain products freshness. To achieve this, this study build up a multi-objective vehicle routing optimization model and designed a hybrid algorithm combining large-scale neighborhood search and NAGA-II. Through computational analysis, this algorithm effectively overcomes the weak local search capability of NAGA-II and efficiently solves multi-objective problems. Moreover, under the simulated random traffic congestion conditions, this model able to demonstrate relatively stable planning results and address complex road traffic situations. Finally, this study able to analyze the impacts of various replenishment strategies, by considering multiple depots and sensitivity coefficients of cold chain products from delivery objectives. The analysis results also provides valuable insights for actual cold chain logistics distribution industry.</p></div>2025-01-24T18:59:53ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0305982.t008https://figshare.com/articles/dataset/Analysis_of_planning_results_for_different_tu_/28276069CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/282760692025-01-24T18:59:53Z
spellingShingle Analysis of planning results for different tu.
Wu Kai (20614663)
Biophysics
Biotechnology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
scale neighborhood search
even vehicle types
dynamic congestion levels
considering multiple depots
cold chain products
cold chain logistics
algorithm effectively overcomes
various replenishment strategies
considering delivery route
way </ p
national carbon emissions
efficiently solves multi
carbon emissions
replenishment along
delivery objectives
traffic resources
sensitivity coefficients
objective problems
model able
fully utilize
depot condition
computational analysis
status_str publishedVersion
title Analysis of planning results for different tu.
title_full Analysis of planning results for different tu.
title_fullStr Analysis of planning results for different tu.
title_full_unstemmed Analysis of planning results for different tu.
title_short Analysis of planning results for different tu.
title_sort Analysis of planning results for different tu.
topic Biophysics
Biotechnology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
scale neighborhood search
even vehicle types
dynamic congestion levels
considering multiple depots
cold chain products
cold chain logistics
algorithm effectively overcomes
various replenishment strategies
considering delivery route
way </ p
national carbon emissions
efficiently solves multi
carbon emissions
replenishment along
delivery objectives
traffic resources
sensitivity coefficients
objective problems
model able
fully utilize
depot condition
computational analysis