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E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

作     者:Shiyan Xu Jun Chen Maoguo Wu Chenyang Zhao 

作者机构:School of Economics and ManagementTongji UniversityShanghai200092China SILC Business SchoolShanghai UniversityShanghai201800China 

出 版 物:《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模(英文))

年 卷 期:2021年第126卷第2期

页      面:843-854页

核心收录:

学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:Shared IoT identification technology e-commerce supply chain process optimization 

摘      要:With in-depth development of the Internet of Things(IoT)in various industries,the informatization process of various industries has also entered the fast *** article aims to solve the supply chain process problem in e-commerce,focusing on the specific application of Internet of Things technology in *** logistics is an important link in today’s e-commerce *** article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things *** article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer(REST)*** actual IoT applications and the characteristics of an existing platform,a REST-based IoT resource sharing platform is *** with actual projects,a REST-based IoT resource sharing platform was built,and key technology experiments were conducted for ***,optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are *** on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.

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