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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Hindawi Limited
2021-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/9986490 |
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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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1721357318977748992 |