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Reengineering Logistics and Fleet Management: Integration of GPS, AI, and Predictive Maintenance

Year: 2025

Type: article

Abstract: Inefficiencies in logistics and fleet management have continued to manifest themselves in the transport industry, leading to increased costs and lower levels of reliability. This study investigates one such reengineering initiative that integrates GPS tracking for monitoring of vehicle fleets in real-time, route optimization by utilizing artificial intelligence, and predictive maintenance. These technologies are aimed at improving delivery efficiency while minimising fuel consumption and maximising operational reliability. The proposed methodology focuses on process improvements that have believed to have a large operational impact while leveraging literature to stress the relevance of Transportation 4.0 technologies. It was revealed that these initiatives might be able to reduce fuel consumption by about 15%, vehicle downtime by around 20%, and increase delivery efficiency by roughly 25%.

Source: The Asian Bulletin of Big Data Management

DOI: 10.62019/qxdzeq92

Authors: Syeda Wajiha Naim, Saima Sipy Nangraj, Abdul Hafeez Khan, Syed Muhammad Hassan, Syeda Nazia Ashraf

Institution: Sindh Madressatul Islam University

Language: English

Topic: Transport and Logistics Innovations

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: diamond

OpenAlex ID: W4409569807

FWCI:

Cites: 4

Cited by:

Related to: 10