Businesses that operate in asset-intensive sectors strive to strike a balance between controlling costs and maximizing asset availability. Efficient asset management and maintenance are crucial in maintaining this balance since they help these companies stay in compliance with laws, save money on unneeded maintenance, and limit unscheduled downtime.
Difference between Preventive & Predictive Maintenance
Preventative maintenance is planned or scheduled maintenance that occurs on a regular basis regardless of asset conditions. Predictive maintenance on the other hand is only carried out when it is essential, depending on asset conditions, i.e. when there is an anticipated risk of equipment malfunction or failure. Although predictive maintenance requires a larger initial investment than preventive maintenance, operational expenses can be decreased over time by removing needless work.
How Predictive Maintenance works?
Predictive maintenance is carried out by periodically or continuously monitoring the asset status to assess the health and performance of the equipment. Businesses are able to foresee, plan, and take proactive measures for any occurrences like part replacement or equipment failure before they happen thanks to data collected by IoT devices connecting various assets and systems. To prevent any disturbance to the business, predictive maintenance is typically carried out while the equipment is in use under normal working conditions.
Benefits of Predictive Maintenance
- Reduce Maintenance Cost
Unexpected failure costs are one of several associated expenses that each asset has, and they considerably increase the overall cost of ownership of any asset. As a result, businesses can save money by predicting and preventing equipment failure. IoT-based predictive maintenance makes precise forecasts about asset health, utilisation, and the likelihood of failure using previous data from a variety of sources, including IoT devices and sensors. This information enables you to take appropriate action. IoT-based predictive maintenance allows for systematic scheduling of optimal maintenance and inspection routine to avoid unplanned downtime and unnecessary effort. Avoidable costs can be reduced greatly while also reducing the amount of time the machinery or equipment is down for maintenance.
- Increase Asset Utilization
Profitability is decreased by unplanned equipment failure downtime, production delay costs, and high maintenance and repair costs. By allowing for the prediction of machine breakdowns and the reduction of maintenance concerns, IoT-based predictive maintenance promotes more effective use of current assets. Whether they are internal or external, it can assist in identifying the delays’ causes and setting up procedures to address them. Also, by providing early warnings and spotting equipment problems before they become operational, it increases asset availability, dependability, and performance.
- Extend Asset Life
Monitoring, maintaining, and optimising assets for greater availability, usage, and performance is made possible by IoT-based predictive maintenance. Real-time monitoring can provide you superior asset visibility, enabling you to foresee machine failure and spot worn-out components. The lifespan of your assets can be increased by scheduling maintenance and repairs, anticipating events before they happen, and receiving real-time notifications that allow you to respond quickly.
- Increase Field Crew Efficiency
Businesses can periodically check on the condition of field assets thanks to IoT-based asset monitoring systems. Companies may improve their task planning, prioritization, and scheduling with a 360-degree perspective of asset health. Unplanned downtime or machine failure frequently necessitates the hiring of additional staff, the reallocation of field service workers from other work locations or a complete rescheduling of other scheduled maintenance tasks. With the help of IoT-based predictive maintenance, this may be prevented, boosting the utilization and response times of the field service personnel and cutting down on the amount of time needed for maintenance and asset downtime.
- Improve Safety & Compliance
Companies can foresee and handle potential safety concerns and anticipate difficulties before they have an impact on workers thanks to predictive asset maintenance. By analysing data from many sources, including data generated from IoT devices and sensors as well as data from internal and external sources, they can rapidly take the necessary action to eliminate safety concerns. You can find potentially dangerous situations and gauge their effect on working conditions by examining data collected over a lengthy period of time. You could then set off orders to reallocate resources and maintain exposure levels below the threshold values, in conformity with laws.