Full Text

Turn on search term navigation

Copyright © 2021 Chenglong Du. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

In today’s competitive global business environment, companies and organizations are emphasizing return on assets. By analyzing the status quo of Internet of things and warehouse management, this paper puts forward the application of radio frequency identification technology in logistics warehouse management. Based on the intelligent management of logistics and warehousing, the overall structure of intelligent management of logistics and warehousing based on radio frequency identification technology is established, and the functions of each functional module of the system are introduced in detail. Warehouse management system uses B/S architecture mode design; warehouse management system determines the location of goods in the warehouse management program, through radio frequency identification technology reader collection of goods in and out of the warehouse data and data processing results reported to the warehouse management system. Through the optimization of warehouse management process, the intelligent management of logistics and warehousing is realized efficiently. By testing the response time of the system and comparing the test efficiency before and after optimization, the reliability and efficiency of the warehousing intelligent management system are verified, which provides a basis for the study of logistics warehousing intelligent management.

Details

Title
Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
Author
Du, Chenglong 1   VIAFID ORCID Logo 

 Guangdong University of Science and Technology, Dongguan Guangdong 523083, China 
Editor
Guolong Shi
Publication year
2021
Publication date
2021
Publisher
John Wiley & Sons, Inc.
ISSN
1687725X
e-ISSN
16877268
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2594361571
Copyright
Copyright © 2021 Chenglong Du. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/