Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution

With the development and popularity of intelligent store terminals, contactless distribution has been a hot talk on medical supplies using intelligent express boxes. Based on the traditional vehicle routing problem, this paper considers the sharing economy and open-loop distribution reality hotspots...

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Main Authors: Huilin Li, Ke Xiong, Xiuming Xie
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/9986490
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spelling doaj-af70530a00744c4b9bdb8d004bb155062021-06-28T01:50:30ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/9986490Multiobjective Contactless Delivery on Medical Supplies under Open-Loop DistributionHuilin Li0Ke Xiong1Xiuming Xie2Southern University of Science and Technology Yantian HospitalSouthern University of Science and Technology Yantian HospitalSouthern University of Science and Technology Yantian HospitalWith the development and popularity of intelligent store terminals, contactless distribution has been a hot talk on medical supplies using intelligent express boxes. Based on the traditional vehicle routing problem, this paper considers the sharing economy and open-loop distribution reality hotspots and considers the optimization of carbon emissions in contactless distribution. The travel distance and load capacity are the key factors affecting carbon emissions. The carbon emission model proposes dual goals of minimizing distribution costs and carbon emissions. It constructs a distribution path planning model with multiple distribution stations. To solve this problem with multidepot optimization, we design a hybrid genetic algorithm, and according to the strategy of customer distance clustering analysis, the dispatching of vehicles is divided into three steps. The principle of elite crossing is applied to avoid the solution to fall into local optimum. The experimental results show that the proposed model and optimization algorithm can get a tradeoff between the logistics cost and carbon emissions.http://dx.doi.org/10.1155/2021/9986490
collection DOAJ
language English
format Article
sources DOAJ
author Huilin Li
Ke Xiong
Xiuming Xie
spellingShingle Huilin Li
Ke Xiong
Xiuming Xie
Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
Mathematical Problems in Engineering
author_facet Huilin Li
Ke Xiong
Xiuming Xie
author_sort Huilin Li
title Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
title_short Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
title_full Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
title_fullStr Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
title_full_unstemmed Multiobjective Contactless Delivery on Medical Supplies under Open-Loop Distribution
title_sort multiobjective contactless delivery on medical supplies under open-loop distribution
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description With the development and popularity of intelligent store terminals, contactless distribution has been a hot talk on medical supplies using intelligent express boxes. Based on the traditional vehicle routing problem, this paper considers the sharing economy and open-loop distribution reality hotspots and considers the optimization of carbon emissions in contactless distribution. The travel distance and load capacity are the key factors affecting carbon emissions. The carbon emission model proposes dual goals of minimizing distribution costs and carbon emissions. It constructs a distribution path planning model with multiple distribution stations. To solve this problem with multidepot optimization, we design a hybrid genetic algorithm, and according to the strategy of customer distance clustering analysis, the dispatching of vehicles is divided into three steps. The principle of elite crossing is applied to avoid the solution to fall into local optimum. The experimental results show that the proposed model and optimization algorithm can get a tradeoff between the logistics cost and carbon emissions.
url http://dx.doi.org/10.1155/2021/9986490
work_keys_str_mv AT huilinli multiobjectivecontactlessdeliveryonmedicalsuppliesunderopenloopdistribution
AT kexiong multiobjectivecontactlessdeliveryonmedicalsuppliesunderopenloopdistribution
AT xiumingxie multiobjectivecontactlessdeliveryonmedicalsuppliesunderopenloopdistribution
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