About Influence of Big Data Technology on Intelligent Logistics System

Author(s):  
Gutu Ofgaa ◽  
Syed Umar

The logistics system is an important and stimulating process for producers. The logistics system starts with the supply of raw materials, product design, assembly and distribution to customers. A supply chain can be considered when designing this process. Therefore, modelling and optimizing supply networks related to the different processes of the logistics system and data transactions is a major challenge. On the other hand, developments in the digital environment of logistics systems are integrated with the development of Industry 4.0, including Internet of Things (IoT), big data, cloud computing and information systems. Therefore, this document discusses the development of information systems on different processes of logistics systems in modelling the exchange of data between elements of the supply network. The concepts of big data and cloud computing are taken into account when proposing information flow mechanisms. The result allows a complete exchange of data between the elements of the intelligent logistics system on the Internet platform. The functions and solutions of sales, transport, inventory and sales are presented in the different phases of the proposed logistics system. The need for data flow is created using a database concept for making real-time decisions


Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.


2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document