MODEL OF THE TRUCK MANAGEMENT PROCESS USING INNOVATIVE TECHNOLOGIES

Authors

DOI:

https://doi.org/10.32782/IT/2024-2-18

Keywords:

controller, RPM, picking cargo, cargo transportation, Dexter algorithm, route

Abstract

The article presents a model of processes of management of heavy goods transportation using innovative technologies, focusing on increasing efficiency, reliability and quality of cargo transportation. Objective of work. to implement the process of management of heavy goods transportation with the help of innovative technologies, in particular for the transportation of heavy and bulky goods over long distances. Methodology. This work used data from DAT Freight & Analytics Service to select freight and calculate freight rates in real time. The automated model of the transportation management process includes the search for customers, the assessment of transport needs and requirements, the search of carriers, the conclusion of agreements, the organization and coordination of transportation, documentation and problem solving in emergency situations. Using statistical data and forecasts, the cost of returning a vehicle without cargo was considered and improved. Scientific innovation. The proposed model of the process of management of heavy goods transport allows to automate important stages of the logistics process and increase its efficiency with the help of new technologies and data analysis. Reducing the cost of returning unloaded vehicles is a significant step forward in the area of freight management thanks to the use of data from the DAT service. Conclusions. A heavy freight management model that uses data analysis and advanced technology can significantly improve the efficiency, reliability and quality of logistics processes. Companies can reduce costs and earn more money by automating important stages of the process and using real freight rates. Innovative methods of management of heavy goods transport can be introduced in other countries, such as Ukraine. This will increase the competitiveness of transport companies in the international market.

References

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Published

2024-07-31