scholarly journals Construction of a Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhaoyang Wu ◽  
Shiyong Wang ◽  
Hong Yang ◽  
Xiaokui Zhao
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Global Economy ◽  
Rapid Development ◽  
Development Trend ◽  
Research Experience ◽  
Logistics Industry ◽  
Supervision System ◽  
Group Hunting ◽  
Internet Of Things Technology

In recent years, with the rapid development of the global economy and the development trend of more and more stable, well-developed network communications, online shopping has become an increasingly common way; as a result, the logistics industry has emerged from many industries and has become one of the most popular industries. However, due to the extensive involvement of the logistics industry, the overly complex technology, and the huge amount of data and information, the security of logistics has become one of the hot topics of special concern. Based on the background of an intelligent environment, this paper constructs a supply chain financial logistics supervision system based on Internet of Things technology. This article refers to the research experience of previous scholars, briefly introduces the theoretical knowledge of the Internet of Things technology, smart environment, and supply chain finance, and makes a certain analysis of the logistics supervision system. We collect and calculate logistics data through the wolf group hunting and siege formula in the wolf group algorithm and analyze the application performance of the logistics supervision system in reality. Then, we briefly designed the system architecture diagram of the logistics supervision system and compared the freight situation of the logistics supervision system before and after and statistics on the deployment of the logistics supervision system in customs, docks, airports, stations, and other places from 2015 to 2019. Finally, a comparative analysis of the performance of wolf pack algorithm and other algorithms was performed under different path planning. The final result shows that the logistics supervision system has important practical value in the logistics industry; in addition, the deployment of logistics supervision systems in customs, terminals, and other places has increased year by year from 2015 to 2019.

scholarly journals Research on Optimization of E-commerce Supply Chain Management Process Based on Internet of Things Technology

2021 ◽  
Vol 2074 (1) ◽  
pp. 012070
Author(s):  
Bingkai Huang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Capital Investment ◽  
Development Trend ◽  
Modern Logistics ◽  
Logistics Industry ◽  
Chain Management ◽  
Global Logistics ◽  
Internet Of Things Technology

Abstract With the development of information network technology, online shopping has become more and more accepted and chosen by people, the demand for logistics and express delivery industry is also increasing. In today’s e-commerce era, the global logistics industry has a new development trend, called modern logistics. In modern logistics, the requirements for the important link of warehouse logistics and distribution are also increasing. The goal of supply chain management is to achieve maximum operational efficiency while minimizing capital investment, which is of great significance for e-logistics distribution. Based on this, this paper explores the application of Internet of Things technology in the supply chain management of e-logistics.

scholarly journals MANAGEMENT OF TECHNOLOGICAL INNOVATIONS OF LOGISTICS ENTERPRISES BASED ON THE USE OF THE INTERNET OF THINGS

2020 ◽  
Author(s):  
Leonid Taraniuk ◽  
◽  
Qiu Hongzhou ◽  
Nataliia Hlyboka ◽  
◽  
...  
Keyword(s):  
Internet Of Things ◽  
Inventory Management ◽  
Intelligent System ◽  
Innovation Management ◽  
Rapid Development ◽  
Logistics Industry ◽  
Advantages And Disadvantages ◽  
Logistics Enterprises ◽  
Management Optimization ◽  
Internet Of Things Technology

The development of logistics enterprises is an important symbol to measure the level of development of science and technology and comprehensive strength of a country, and the level of logistics and logistics intelligence, information level to reflect the value. Internet of Things technology provides a enough platform for logistics industry to realize the combination of traditional logistics technology and intelligent system operation management, so as to enable enterprises to realize logistics automation, information and intelligent operation faster and better. This paper describes the important role and innovative application of management of Internet of Things technology in the development of logistics enterprises, analyzes the advantages and disadvantages of RFID technology and its important role in inventory management optimization. With the rapid development of logistics enterprises, how to efficiently use the emerging Internet of Things technology and apply it to all aspects of logistics operation requires logistics enterprises to carry out technological innovation management on the basis of the original technology and equipment, seize the opportunity of national policies and put forward the innovation management mode suitable for enterprise development.

scholarly journals Perception Data Fusion of Agricultural Products Supply Chain Based on Internet of Things

2020 ◽  
Author(s):  
Xu Sun ◽  
Kunliang Shu
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Data Fusion ◽  
Agricultural Products ◽  
Agricultural Product ◽  
The Internet ◽  
Logistics Industry ◽  
The Status ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract With the continuous development of the logistics industry and big data technology, the integration of traditional industries and the Internet of Things has become the trend of the times. However, agricultural product quality problems occur from time to time in multiple links such as the production and circulation of agricultural products. Therefore, the agricultural product supply chain based on the Internet of Things has gradually received attention. The purpose of this paper is to study the application of perception data fusion of agricultural products supply chain based on internet of things. In order to study the application of perception data fusion of agricultural products supply chain based on Internet of things, this paper analyzes the status quo of agricultural products industry traceability platform and extracts other product supply modes based on the Internet of things technology. After analysis and comparison, it comes to the perception data fusion mode suitable for the agricultural product supply chain, and uses the information technology based on the internet of things to carry out the agricultural product circulation process Internet of things transformation and process optimization. The results show that the application of data fusion based on the internet of things can solve 69.45% of the agricultural products whose origins are unknown and cannot be traced, improve the supply efficiency of agricultural products by 43%, reduce the health problems of agricultural products by 31.24%, reduce the prices of agricultural products by 13%-20%, improve the logistics efficiency and save about 5 million tons of agricultural products. Therefore, it is necessary to study the application of agricultural product perception data fusion based on internet of things.

scholarly journals Multidisciplinary review of logistics and supply chain research— Application of scientific measurement analysis in related fields

2021 ◽  
Vol 235 ◽  
pp. 03004
Author(s):  
Chung-Lien Pan ◽  
JiaLong Li ◽  
XiaoLing Huang ◽  
XuanFan Guo ◽  
LiHong Zhang
Keyword(s):  
Supply Chain ◽  
Rapid Development ◽  
Development Trend ◽  
System Thinking ◽  
Measurement Analysis ◽  
Funding Agencies ◽  
Comprehensive Picture ◽  
Author Keywords ◽  
Systematic Understanding ◽  
Industry Professionals

The process of globalization and digitization has continuously increased customer requirements for logistics costs and services. Issues related to the development of logistics and supply chain has received great attention. However, considering the factors of timeliness and systemic, previous studies could no longer meet the latest needs. To fill these gaps, this article reviews the 833 articles collected from the Web of Science (WoS) database from 1989 to March 2020 and mainly analyzes annual trends, top organizations, top published countries, author keywords, and main sources and disciplines, using the concepts of system thinking and knowledge-intermediary to summarize the research results. The results show that the research on logistics and supply chain is in a period of rapid development, and presents a decentralized and diversified development trend. These data and images provide a comprehensive picture of the development of the digital business economy, aiming to help researchers, funding agencies, policymakers, and industry professionals grasp the timely situation about the discipline, thus establishing a systematic understanding.

scholarly journals Revenue Model of Supply Chain by Internet of Things Technology

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 4091-4100 ◽  
Author(s):  
Cai Shousong ◽  
Wang Xiaoguang ◽  
Zhao Yuanjun
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Revenue Model ◽  
Internet Of Things Technology

scholarly journals Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Du
Keyword(s):  
Internet Of Things ◽  
Evaluation Method ◽  
Service Industry ◽  
Rapid Development ◽  
The Internet ◽  
Industry Cluster ◽  
Analytic Hierarchy ◽  
Logistics Industry ◽  
Expert Evaluation Method ◽  
The Internet Of Things

As the economy grows rapidly and IoT technology advances rapidly, the logistics industry as a service industry is growing rapidly around the world. The logistics industry, meanwhile, is the one that can best play the role of IoT. The rapid development of the logistics industry has brought great competition challenges to the logistics industry. To solve the competitive problems of the logistics industry cluster, this article introduces the research on the upgrade path and strategy of the logistics industry cluster based on the Internet of Things and uses the analytic hierarchy process, investigation method, and expert evaluation method to build the IoT technology information model and logistics cost. According to the established optimization model, the following are proposed: analyzing the problems existing in the logistics industry cluster, giving an upgrade path from the four aspects of manufacturing, technology, structure, and service, and giving specific strategic suggestions from the aspects of talents and enterprises. The accuracy rate of current analysis is as high as 90%, and the implementation rate of upgrade paths and strategy recommendations is as high as 95%.

scholarly journals Research on Collaborative Innovation Strategy of Smart Supply Chain in the Big Data Era

2021 ◽  
Vol 235 ◽  
pp. 03073
Author(s):  
Wang He ◽  
Huang Xiang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
New Technologies ◽  
Action Plan ◽  
Development Trend ◽  
Innovation Strategy ◽  
Logistics Industry ◽  
Basic Industry ◽  
Collaborative Innovation ◽  
Made In China

With the continuous emergence of new technologies such as Artificial intelligence, big data, Cloud computing and IOT, technology accelerates integration and innovation, and data dividends have continued to emerge. At the same time, China’s “Internet Action Plan”, “Made in China 2025”, “Digital China” and other national strategies have been implemented in depth, China’s social and economic development has entered the era of big data. As the basic industry of the national economy. The logistics industry will also accelerate changes, and it has become a development trend for companies to use new technologies to realize smart supply chain collaborative innovation. The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain.

scholarly journals Optimization of Cross-Border e-Commerce Logistics Supervision System Based on Internet of Things Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Pingping Sun ◽  
Lingang Gu
Keyword(s):  
Internet Of Things ◽  
Data Privacy ◽  
Evaluation Index System ◽  
Operating Efficiency ◽  
Service Platform ◽  
Actual Measurement ◽  
Supervision System ◽  
Logistics Service ◽  
Cross Border ◽  
Internet Of Things Technology

Based on the Internet of Things technology, this paper proposes building a cross-border e-commerce logistics supervision system and determines the evaluation index system from the overall framework design of the system, supply chain supervision process optimization, risk supervision optimization, and system order degree optimization. First of all, the framework adopts the national certification center to supervise the logistics service platform and logistics service platform to supervise the logistics participants of the secondary supervision system. Then, functions such as swarm intelligence contract, legal anonymous identity authentication, intelligent transaction matching, abnormal data analysis and detection, privacy protection, and traceability are realized under the framework of the supervision system. Then, the security analysis and transaction supervision component software are used to verify the security, control, and operating efficiency of the transaction supervision framework. Finally, in a real crowd sourcing logistics enterprise platform to run on the software component, the actual measurement, the measured results show that the proposed cross-border supervision system is safe and controllable, and electronic business logistics protects users and data privacy, prevents forgery and fraud, and realizes the user behavior and user data in addition to auditability and traceability.

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