Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment
The supply chain optimization of e-commerce is the optimization of the integrated linear management model for e-commerce enterprises based on manufacturers, suppliers, warehouses, distribution centers, and channels. The application of Internet of Things (IoT) technology to the optimization of e-comm...
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Online Access: | http://dx.doi.org/10.1155/2020/8821128 |
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doaj-b585d332f3494712bf26244d38dcafa32020-11-25T04:02:15ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88211288821128Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things EnvironmentLiwei Zhu0College of Commerce, Guangdong Polytechnic of Science and Technology, Zhuhai 519090, ChinaThe supply chain optimization of e-commerce is the optimization of the integrated linear management model for e-commerce enterprises based on manufacturers, suppliers, warehouses, distribution centers, and channels. The application of Internet of Things (IoT) technology to the optimization of e-commerce supply chain can help e-commerce enterprises to monitor each product in real time and manage logistics system reasonably; thus, the circulation process of e-commerce product in the supply chain can be monitored and shared, and the product information at each stage of the supply chain can be analyzed and predicted, helping e-commerce companies to estimate the future trends or accident probability. On the analysis of summarizing and analyzing previous works, this article expounded the research status and significance of e-commerce supply chain optimization, elaborated the development background, current status, and future challenges of the IoT technology, introduced the methods and principles of the node distribution model and constraint parameter analysis of logistics supply chain, constructed the IoT-based e-commerce supply chain linear and nonlinear model including competition and risk-control modules, performed the design of IoT-based e-commerce supply chain optimization, and discussed the solutions to procurement robustness optimization and management process optimization. The final simulation analysis showed that the proposed optimization model can effectively predict e-commerce product information in each stage of the supply chain; the IoT-based e-commerce supply chain optimization can enable each node company in the supply chain to improve the quality of information transmission and reduce the risk of information asymmetry in the process of e-commerce exchanges and can quickly and easily respond to the sudden changes of market and environment, thereby promoting them to cooperate with each other for establishing a supply chain network structure with closer business relationships, smoother logistics transportation, more reasonable benefit sharing, and stronger market competitiveness.http://dx.doi.org/10.1155/2020/8821128 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liwei Zhu |
spellingShingle |
Liwei Zhu Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment Complexity |
author_facet |
Liwei Zhu |
author_sort |
Liwei Zhu |
title |
Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment |
title_short |
Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment |
title_full |
Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment |
title_fullStr |
Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment |
title_full_unstemmed |
Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment |
title_sort |
optimization and simulation for e-commerce supply chain in the internet of things environment |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2020-01-01 |
description |
The supply chain optimization of e-commerce is the optimization of the integrated linear management model for e-commerce enterprises based on manufacturers, suppliers, warehouses, distribution centers, and channels. The application of Internet of Things (IoT) technology to the optimization of e-commerce supply chain can help e-commerce enterprises to monitor each product in real time and manage logistics system reasonably; thus, the circulation process of e-commerce product in the supply chain can be monitored and shared, and the product information at each stage of the supply chain can be analyzed and predicted, helping e-commerce companies to estimate the future trends or accident probability. On the analysis of summarizing and analyzing previous works, this article expounded the research status and significance of e-commerce supply chain optimization, elaborated the development background, current status, and future challenges of the IoT technology, introduced the methods and principles of the node distribution model and constraint parameter analysis of logistics supply chain, constructed the IoT-based e-commerce supply chain linear and nonlinear model including competition and risk-control modules, performed the design of IoT-based e-commerce supply chain optimization, and discussed the solutions to procurement robustness optimization and management process optimization. The final simulation analysis showed that the proposed optimization model can effectively predict e-commerce product information in each stage of the supply chain; the IoT-based e-commerce supply chain optimization can enable each node company in the supply chain to improve the quality of information transmission and reduce the risk of information asymmetry in the process of e-commerce exchanges and can quickly and easily respond to the sudden changes of market and environment, thereby promoting them to cooperate with each other for establishing a supply chain network structure with closer business relationships, smoother logistics transportation, more reasonable benefit sharing, and stronger market competitiveness. |
url |
http://dx.doi.org/10.1155/2020/8821128 |
work_keys_str_mv |
AT liweizhu optimizationandsimulationforecommercesupplychainintheinternetofthingsenvironment |
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