Seybold Report ISSN: 1533-9211

Abstract

DEVELOPING AND EVALUATING AN INTERNET OF THINGS ECOSYSTEM FOR A LOGISTICS MANAGEMENT SYSTEM


Dr. Rajendra Singh Kushwah, Hamirani Ekbal Shahbudinbhai


Vol 18, No 11 ( 2023 )   |  Licensing: CC 4.0   |   Pg no: 346-354   |   Published on: 30-11-2023



Abstract
In real-time applications, logistics management is crucial. Logistics management has challenges in areas such as delivery delays, real-time freight vehicle identification, cargo overload, and loss or theft. Using the cargo's latitude and longitude coordinates, the Global Positioning System tracks its whereabouts. Locating the administrator is made easy with the GSM/GPRS module. Cargo can be located and positioned accurately with the help of the RFID technology. Because it is open source hardware, processing and organizing items on the web server is easy. The cargo may become too heavy to carry or reach by a certain period if additional things are added to it. Using a weight sensor prevents freight from being overloaded. For safety reasons, this system updates the web server's position on a frequent basis, and cargo data is updated in real time using open source hardware. Open source hardware, the Internet of Things (IoT), radio frequency identification (RFID), global positioning system (GPS), and GSM/GPRS all work together to produce reliable outcomes. In addition to preventing goods delivery delays caused by dynamic updates to cargo data, this system also guarantees the placement of goods trucks and removes the possibility of cargo overload.


Keywords:
Logistics Management, Supply Chain, GSM, GPS, Radio Frequency identification, Open source hardware, IoT.



Download Full Article PDF


Back to Current Issue Page