An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment

With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms’ raw material supply chain is a necessary...

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Autores principales: Yumei Cui, Xinqun Feng
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/a9461e72275744f7bb2f0c6886f89368
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spelling oai:doaj.org-article:a9461e72275744f7bb2f0c6886f893682021-11-22T01:11:13ZAn Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment1875-905X10.1155/2021/1335317https://doaj.org/article/a9461e72275744f7bb2f0c6886f893682021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1335317https://doaj.org/toc/1875-905XWith the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms’ raw material supply chain is a necessary condition to assist school’s normal operation. Therefore, an optimization model for primary and secondary school clothing raw material supply chain based on the internet of things is proposed. In order to optimize the raw materials supply chain of primary and secondary school uniform, a model based on the internet of things is proposed. In the environment of the internet of things, from the perspective of supply chain configuration and enterprise’s expected risk minimization, this paper establishes the optimization model of raw material supply chain of primary and secondary school uniform based on the internet of things. Through the improved genetic algorithm to solve the model, the best raw material supply chain of primary and secondary school uniform is obtained. The simulation results show that the proposed model can effectively improve the asset utilization and execution efficiency of the supply chain and reduce the cost of the raw material supply chain of primary and secondary school uniform.Yumei CuiXinqun FengHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Telecommunication
TK5101-6720
spellingShingle Telecommunication
TK5101-6720
Yumei Cui
Xinqun Feng
An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
description With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms’ raw material supply chain is a necessary condition to assist school’s normal operation. Therefore, an optimization model for primary and secondary school clothing raw material supply chain based on the internet of things is proposed. In order to optimize the raw materials supply chain of primary and secondary school uniform, a model based on the internet of things is proposed. In the environment of the internet of things, from the perspective of supply chain configuration and enterprise’s expected risk minimization, this paper establishes the optimization model of raw material supply chain of primary and secondary school uniform based on the internet of things. Through the improved genetic algorithm to solve the model, the best raw material supply chain of primary and secondary school uniform is obtained. The simulation results show that the proposed model can effectively improve the asset utilization and execution efficiency of the supply chain and reduce the cost of the raw material supply chain of primary and secondary school uniform.
format article
author Yumei Cui
Xinqun Feng
author_facet Yumei Cui
Xinqun Feng
author_sort Yumei Cui
title An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
title_short An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
title_full An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
title_fullStr An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
title_full_unstemmed An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment
title_sort optimization model of raw material supply chain using improved genetic algorithm for primary and secondary school uniform under iot environment
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/a9461e72275744f7bb2f0c6886f89368
work_keys_str_mv AT yumeicui anoptimizationmodelofrawmaterialsupplychainusingimprovedgeneticalgorithmforprimaryandsecondaryschooluniformunderiotenvironment
AT xinqunfeng anoptimizationmodelofrawmaterialsupplychainusingimprovedgeneticalgorithmforprimaryandsecondaryschooluniformunderiotenvironment
AT yumeicui optimizationmodelofrawmaterialsupplychainusingimprovedgeneticalgorithmforprimaryandsecondaryschooluniformunderiotenvironment
AT xinqunfeng optimizationmodelofrawmaterialsupplychainusingimprovedgeneticalgorithmforprimaryandsecondaryschooluniformunderiotenvironment
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