Auto Fleet Management
Operating and managing heavy construction machinery is a significant task. Your assets are nothing to bet on. To keep your heavy equipment working for a long time performing regular maintenance is of utmost importance.
It might be as formal as the practice of performing regular servicing as required by the machine’s maker throughout its life. It might even be as basic as doing a daily walkaround of the machine at the start and end of each day to identify any possible concerns that could inhibit safe and efficient operation.
Regardless of how powerful and dependable machinery you have, it requires routine maintenance to ensure that it continues to offer the same remarkable service life and exceptional productivity.
Preventive maintenance is a routine/scheduled maintenance performed to avoid unwanted, unscheduled downtime and to keep your machine operating properly. No matter what type of preventive maintenance program you are performing, the goal is to improve safety and decrease downtime
Types of Preventative Maintenance
Types of preventive maintenance can vary depending on number of factors such as
Some of the types of preventive maintenance are described below:
The scheduled maintenance is a calendar-based maintenance that occurs at repeating intervals or in response to a work request. It can include things on the “daily” or “weekly” basis. While some of the manufacturers recommend it on an hours-based approach. For instance, tire pressure, air filter checking, fluid level checks, water-in-fuel bowl drain, joint greasing.
This maintenance is usually based on the instructions in the operator’s manual of the machine. It can include oil sampling from critical components like the engine, transmissions and hydraulic systems.
Predictive maintenance analyzes data from IoT sensors embedded in your fleet to decide which components should be changed before they break down or cause an accident. AI based predictive maintenance search for data trends that suggest fault codes for specific components, or they can create more accurate forecasts of a component’s lifespan based on environmental conditions and usage. When specified failure signals or component aging requirements are encountered, the components can be replaced during planned maintenance windows.