Cognitive and artificial intelligence system for logistics industry

Shuaiqi Wang

27 Oktober 2021

With the continuous development of artificial intelligence technology, the supply chain logistics industry has shown new changes. The products of the intelligent era such as smart devices, big data computing, and Internet of Things technology have gradually become the transformation and innovation of logistics and supply chain enterprises. The important driving force of the logistics and supply chain industry will greatly improve the operational efficiency of the logistics and supply chain industry. Methods. This article studies the technical framework of artificial intelligence and explores the upgrading and transformation of supply chain logistics enterprises in logistics infrastructure, production tools, and logistics operation processes under the promotion of artificial intelligence technology, from warehouse location, inventory management, warehousing operations, transportation, and distribution. The data analysis and prediction analyze the impact of artificial intelligence on the supply chain logistics field and finally point out the problems in the intelligent development of the supply chain logistics field and put forward targeted suggestions to promote the modern supply chain logistics to become more intelligent. developThe new development trend of smart logistics is towards sharing economy, automation, service efficiency, and cost reduction. Results. In this context, if logistics companies want to achieve higher-quality development, they cannot do without business model innovation and larger-scale collaboration, transparency of logistics information, and more comprehensive information sharing. The new trend of the development of smart logistics is to develop in the direction of sharing economy, automation, service efficiency, and cost reduction. Conclusion. Intelligence and the Internet of Things are the inevitable trend of the development of smart logistics, which is mainly realized through the Internet of Things path in terms of visual information technology, intelligent robot operation, vehicle scheduling, and cargo traceability.

Weiwei Zhang Chen Ying

1 Juni 2020

Logistics industry is closely related to people's life, but at present, the efficiency of logistics industry is not high, there is still room for improvement. Information technology has a revolutionary significance for the future development of warehousing logistics. The core of how to complete the efficient operation of various materials in the warehouse lies in how to excavate the value of big data related to the warehouse and combine it with various equipment and operation strategies in the warehouse. This paper mainly discusses the development motivation of intelligent logistics, the related technology in warehousing and distribution, and the future development direction of warehousing and distribution. In the future, a series of new business models and technological advances will usher in new development opportunities for the logistics industry, and the specific application of intelligent logistics will be more and more integrated into people's lives.

Chenglong Du

28 Oktober 2021

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.

Sen Li D. Feng Ming Jin + 1 lainnya

24 April 2020

ABSTRACT Smart logistics is an effective way to meet the challenges of fast-changing customer expectations, take opportunities brought by new technologies, and facilitate new business models. This review paper systematically summarises the recent research and applications of smart logistics based on the internet of things (IoT), including smart freight transportation, warehousing, and delivery. A bibliometric analysis based on publications between 2008 and 2019 reveals main technologies and impacts of the research and applications of IoT-based smart logistics and their industrial and geographic distributions. The content analysis demonstrates the role and impact of IoT on smart logistics, reveals challenges of IoT-based smart logistics, and provides research needs for the development of smart logistics. The current challenges include technical problems of radio frequency identification and wireless sensor networks, limited extension and technical capacity of IoT,standardisation issues of IoT, data acquisition and processing issues of IoT, and security and privacy concerns on IoT. There is a strong research need to address the key technical issues of IoT, promote various IoT technologies in logistics practice, and jointly develop advanced information and communications technologies and management systems.

Yanan Song Xiao Hua

1 Mei 2022

For the taxed goods, the actual freight is generally determined by multiplying the allocated freight for each KG and actual outgoing weight based on the outgoing order number on the outgoing bill. Considering the conventional logistics is insufficient to cope with the rapid response of e-commerce orders to logistics requirements, this work discussed the implementation of data mining technology in bonded warehouse inbound and outbound goods trade. Specifically, a bonded warehouse decision-making system with data warehouse, conceptual model, online analytical processing system, human-computer interaction module and WEB data sharing platform was developed. The statistical query module can be used to perform statistics and queries on warehousing operations. After the optimization of the whole warehousing business process, it only takes 19.1 hours to get the actual freight, which is nearly one third less than the time before optimization. This study could create a better environment for the development of China's processing trade.