RFID supply chain data deconstruction method based on artificial intelligence technology

IF 1.1 Q3 COMPUTER SCIENCE, THEORY & METHODS Open Computer Science Pub Date : 2023-01-01 DOI:10.1515/comp-2022-0265
Huiying Zhang, Ze Li
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Abstract

Abstract Radio frequency identification (RFID) is a broad rapidly evolving skill in the past few years. It is characterized by non-contact identification, fast read and write speed, small label size, large data storage capacity, and other technical advantages. RFID technology for goods movement has completely changed the traditional supply chain management, greatly improved the operational efficiency of enterprises, and has become an important method for the development of supply chain logistics. This work mainly studies and analyzes the RFID supply chain, introduces the development and application of RFID supply chain sector technology, and discusses the operation of the supply chain in detail. Then, according to the existing RFID supply chain, a RFID supply chain artificial intelligence (AI) based approach to technology is proposed, and the data analysis of RFID supply chain is introduced in detail. In this work, through the research experiment of AI technology RFID supply chain data analysis, the experimental data show that there are several time-consuming links in the supply chain system. The time consumed in the AI RFID system is 9.9, 3.4, 3.5, and 29.9 min, respectively, while each link in the original system takes 13.4, 4.9, 4.9, and 34.9 min. It can be seen from the above data that the amount of time in each system link of the AI RFID supply chain system is less than that of the original supply chain system, which shortens the entire product passing cycle and greatly improves work efficiency.
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基于人工智能技术的RFID供应链数据解构方法
摘要射频识别(RFID)是近年来发展迅速的一项技术。具有非接触式识别、读写速度快、标签尺寸小、数据存储容量大等技术优势。RFID货物移动技术彻底改变了传统的供应链管理,大大提高了企业的运营效率,成为供应链物流发展的重要手段。本文主要对RFID供应链进行了研究和分析,介绍了RFID供应链领域技术的发展和应用,并对供应链的运作进行了详细的探讨。然后,根据现有的RFID供应链,提出了一种基于RFID供应链人工智能的技术方法,并详细介绍了RFID供应链的数据分析。在本工作中,通过对AI技术RFID供应链数据分析的研究实验,实验数据表明,供应链系统中存在几个耗时的环节。AI RFID系统耗时分别为9.9分钟、3.4分钟、3.5分钟、29.9分钟,而原系统各环节耗时分别为13.4分钟、4.9分钟、4.9分钟、34.9分钟。从以上数据可以看出,AI RFID供应链系统的各个系统环节的时间量比原来的供应链系统要少,缩短了整个产品的通过周期,大大提高了工作效率。
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来源期刊
Open Computer Science
Open Computer Science COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
25 weeks
期刊最新文献
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