{"id":227742,"date":"2021-04-14T13:50:34","date_gmt":"2021-04-14T13:50:34","guid":{"rendered":"https:\/\/zenduit.com\/?p=227742"},"modified":"2023-08-29T11:22:01","modified_gmt":"2023-08-29T11:22:01","slug":"predictive-maintenance-vs-preventive-maintenance-which-is-beneficial","status":"publish","type":"post","link":"https:\/\/apps7.devmaverick.com\/newzenduit\/predictive-maintenance-vs-preventive-maintenance-which-is-beneficial\/","title":{"rendered":"Predictive Maintenance VS Preventive Maintenance: Which Is Beneficial?"},"content":{"rendered":"

How Predictive Maintenance Can Be More Cost Effective Than Preventive Maintenance<\/b><\/h2>\n

Fleets are entering a time where efficiency is rewarded heavily and the faster processes take place, the more the fleets benefit. But in the race of making processes efficient and increasing profits, fleets tend to forget about the long-term game.\u00a0<\/span><\/p>\n

Vehicles being used to their fullest potential gives the best results, but without taking proper care of them and without ensuring proper predictive maintenance taking place, vehicles won\u2019t last as long as they can. Although fleets are aware of this, they prefer to ignore predictive maintenance procedures because it requires a great amount of additional effort. But technology has come far and automation has made a huge impact on various industries, including the logistics industry.\u00a0<\/span><\/p>\n

More specifically, telematics has been on the rise for the last couple of years and has proven to increase fleets in various ways, especially when it comes to proper maintenance<\/a> and care of the fleet.\u00a0<\/span><\/p>\n

What is Predictive Maintenance?<\/b><\/h3>\n

Predictive maintenance is a procedure using data analysis tools and techniques to find any issues in the operations and possible defects in equipment so they can be fixed before they cause bigger problems.<\/span><\/p>\n

In simple terms, predictive maintenance (PM) is a procedure to reduce maintenance frequency to prevent unplanned maintenance operations and costs, without the costs associated with doing too much preventive maintenance.<\/span><\/p>\n

How Does Predictive Maintenance Work?<\/b><\/h3>\n

The three main areas of an organization that factor into predictive maintenance are the real time monitoring of asset condition and performance, the analysis of work order data and the benchmarking MRO (maintenance, repair, and operations) inventory usage.\u00a0<\/span><\/p>\n

Tools like IoT, AI and integrated systems allow for different assets and systems to connect, work together, share, analyze and action data. Some examples of using PM and PM sensors are vibration analysis, oil analysis, thermal imaging and equipment observation.\u00a0<\/span><\/p>\n

The Difference Between Predictive & Preventive Maintenance<\/b><\/h4>\n

Preventive maintenance occurs on the same schedule every cycle, whether or not it\u2019s actually required. Preventive maintenance is designed to keep the parts of a vehicle in good repair but doesn\u2019t take the state of the part or process into consideration.\u00a0<\/span><\/p>\n

Whereas predictive maintenance occurs when needed, as it depends on real time collection and analysis of machine operation data to identify issues before they become a real problem. With predictive maintenance, repairs happen during machine operation and address an actual problem. For example, if a shutdown is required, it will be shorter and more targeted.<\/span><\/p>\n

Benefits of Predictive Maintenance<\/b><\/h3>\n

As mentioned earlier, predictive maintenance is only performed on machines just before failure is likely to occur. This results in several cost savings that include minimizing maintenance time on equipment, production hours that would otherwise be lost to unrequired maintenance and the cost of spare parts and supplies that weren\u2019t necessary.\u00a0<\/span><\/p>\n

Predictive maintenance programs have been shown to lead to a tenfold increase in ROI, a 25%-30% reduction in maintenance costs, a 70%-75% decrease of breakdowns and a 35-45% reduction in downtime.\u00a0<\/span><\/p>\n

Predictive Maintenance Pushed Towards Automation<\/b><\/h2>\n