Intelligent IoT-Based Cross-Border e-Commerce Supply Chain Performance Optimization

Author:

Xia Lei1,Liu Sitong2ORCID

Affiliation:

1. School of Economics and Management, Xi’an Aeronautical University, Xi’an, 710077 Shaanxi, China

2. School of Management, Guilin University of Aerospace Technology, Guilin, 541004 Guangxi, China

Abstract

Internet of Things (IoT) technology can benefit automated production, agriculture, intelligent autonomous driving, and many other industries by using billions of smart devices. As a good example, intelligent IoT and 5G are the main source of information acquisition and play an important role in the multiobjective optimization process of the supply chain. This paper develops an optimal management and coordination method to improve the performance of cross-border e-commerce supply chain by using IoT tracking technique and multiobjective decision-making. The numerical results justify that our proposed scheme has high internal consistency, with the Cronbach’s alpha factor of each dimension of the optimized decision model all greater than 80%.

Funder

National social science major project

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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1. Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm;Scientific Reports;2024-06-10

2. Intelligent Prediction System of E-commerce Commodity Demand Based on Big Data Technology;2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB);2024-04-19

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4. Research on the Influencing Factors of Cross-border E-commerce Development of Fresh Agricultural Products under the Internet Environment;Applied Mathematics and Nonlinear Sciences;2024-01-01

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