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Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
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Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
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Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology

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Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology
Journal Article

Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology

2021
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Overview
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.