Logistics Models Employing The Internet Of Things.

Saved in:
Bibliographic Details
Title: Logistics Models Employing The Internet Of Things.
Authors: Junior Caicedo-Rolon, Alvaro1 alvarojuniorcr@ufps.edu.co, LUNA-PEREIRA, Henry Orlando2 henryorlandolp@ufps.edu.co, Wlamyr, PALACIOS-ALVARADO1 wlamyrpalacios@ufps.edu.co
Source: Journal of Language & Linguistics Studies. 2022, Vol. 18 Issue 4, p626-642. 17p.
Subject Terms: Internet of things, Motor vehicle fleets, Logistics, Transport vehicles, Telemetry
Abstract: In recent times, the term internet of things has been positioned in different sectors, the objective of this article is to address the applications of IoT in its entirety in the field of fleet management, both in the field of processes and methods, in addition to analyzing how logistics management is executed for the control and monitoring of operations focused on geolocation, performance analysis, telemetry and fuel savings, pollution reduction, improved driving, showing the importance that has today, the use of the internet of things in this sector. IoT has its effect on almost all advanced fields of society, as it has an impact not only on work, but also on the lifestyle of the individual and the organization. (Malik et al., 2021) Currently in the world the population is growing exponentially, which in turn generates a growth of different factors such as the increased number of vehicles for the transport of food, input materials among other elements, that in order to carry out this transport must take into account that you must have control, you must perform the monitoring of routes and identifying the most efficient routes in order to reduce costs in addition to generating a performance analysis, telemetry control and fuel savings, reduction of polluting emissions to the environment and can even provide valuable information to improve the driving of vehicles, This paper explores the opportunity to incorporate the IoT to manage automotive fleets in order to generate an optimization of fleet frequency.. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Language & Linguistics Studies is the property of Journal of Language & Linguistics Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Description
Abstract:In recent times, the term internet of things has been positioned in different sectors, the objective of this article is to address the applications of IoT in its entirety in the field of fleet management, both in the field of processes and methods, in addition to analyzing how logistics management is executed for the control and monitoring of operations focused on geolocation, performance analysis, telemetry and fuel savings, pollution reduction, improved driving, showing the importance that has today, the use of the internet of things in this sector. IoT has its effect on almost all advanced fields of society, as it has an impact not only on work, but also on the lifestyle of the individual and the organization. (Malik et al., 2021) Currently in the world the population is growing exponentially, which in turn generates a growth of different factors such as the increased number of vehicles for the transport of food, input materials among other elements, that in order to carry out this transport must take into account that you must have control, you must perform the monitoring of routes and identifying the most efficient routes in order to reduce costs in addition to generating a performance analysis, telemetry control and fuel savings, reduction of polluting emissions to the environment and can even provide valuable information to improve the driving of vehicles, This paper explores the opportunity to incorporate the IoT to manage automotive fleets in order to generate an optimization of fleet frequency.. [ABSTRACT FROM AUTHOR]
ISSN:1305578X