Logistics Models Employing the Internet of Things
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.
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