Abstract
In fleet management, fleet maintenance is an important exposure to increase availability. Periodic and preventive maintenance is one such crucial aspect which is considered regardless of the practical faults which in sets of the need for repair and replacement cost as well time attached with it. With development in technology IOT and big data have been in talks. With all the data that is being produced predictive maintenance can be performed using this technology. IOT based predictive maintenance can increase fleet availability, stability and efficiency, reduced cost through effective maintenance planning and eliminate unnecessary maintenance tasks.
Highlights
E-commerce has seen amazing growth in recent Supply chain management is a process for satisfying customer needs and reducing the cost of supply chain across the activities of suppliers and consumers, right from the procurement of raw materials to product manufacturing, transport and shipment, and sales
Fleet management is crucial for cost reduction which helps in improvising fleet scheduling, operational efficiency and effectiveness
The activities included in fleet maintenance management include allocating and scheduling of resources based on repair, replacement and preventive maintenance
Summary
E-commerce has seen amazing growth in recent Supply chain management is a process for satisfying customer needs and reducing the cost of supply chain across the activities of suppliers and consumers, right from the procurement of raw materials to product manufacturing, transport and shipment, and sales. Various processes are automated using IOT in fleet management such as the system can send ticket notification to tow trucks, nearest service stations, gather data about the route, traffic, vehicle speed and generate alerts and display messages to help the passengers to plan their journey . The perusers experiences the database in portion of seconds and switch the red light green This helps in an unmistakable course in emergency vehicle. Fleet to IOT layer This is the first layer of framework which has necessary information of the vehicle and the GPS configuration which represents the IOT information for fleet management It abstracts the fog and the embedded systems. The IOT configuration and the user accepts the input and output management of the vehicle and performs more heavy duty storage and machine learning
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