Corrective maintenance is carried out to correct the deterioration and malfunction of any equipment or production line as soon as they occur. In short, you react to what happens. It's a no-brainer, right? The positive side is that corrective maintenance is relatively quick, which translates into short downtime and the associated cost is quite low. This type of maintenance is suitable for restaurants and retail organizations.
Preventive maintenance is a proactive strategy that involves taking precautionary measures to prevent equipment failures before they actually occur. It generally covers frequent inspections, upgrades, lubrication, adjustments and replacement of obsolete components or equipment. Assigning an oil change task to a driver after every 1000 miles traveled by a fleet vehicle, changing water filters every 3 months, and cleaning HVAC (heating, ventilation and air conditioning) elements at regular intervals are examples of preventive maintenance. The preventive maintenance solution can help you reduce unexpected equipment failures, increase the life of critical assets, save costs and improve energy savings.
However, it's a labor- and time-consuming process, which means you'll spend more time and money on inspections in the short term. Predictive maintenance uses advanced technologies, such as artificial intelligence and IoT, to predict faults before they actually occur with astonishing accuracy. Data is collected from assets equipped with IoT sensors and analyzed using machine learning algorithms to identify patterns and predict failures. The biggest advantage of predictive maintenance is that it allows maintenance to be performed only when absolutely necessary.
This directly translates into a lower expenditure of money on maintenance for a machine that doesn't really require it, a massive increase in ROI and a significant reduction in downtime. However, IoT sensors don't work optimally in hostile manufacturing environments. In such cases, recalibrating and replacing the sensor can be quite expensive. Industries that have mission-critical equipment with predictable failure modes, such as food production, oil and gas, manufacturing and energy plants, are ideal candidates for predictive maintenance.
Because condition-based maintenance replaces parts when they are expected to fail, manufacturers get more out of their investment without the damage and downtime that comes with pushing parts until they fail, such as corrective maintenance. If you want to get the most out of your maintenance, look no further. With more than 16 years of experience in developing IoT applications, Hakuna Matata is a trusted partner in everything related to IoT. We create comprehensive industrial 4.0 solutions using first-class platforms such as Microsoft Azure IOT Hub and PTC ThingWorx.
Our IIOT infrastructure consists of 5 layers, including existing hardware and software systems, IT and OT integration, data analysis, integration with third-party systems (such as ERP, HRMS, etc.). This is one of the reasons why many companies use some type of preventive maintenance strategy: the worse the damage to the equipment, the higher the repair costs. The 6 different types are: predetermined maintenance, preventive maintenance, corrective maintenance, condition-based maintenance, predictive maintenance and reactive maintenance. The 4 different types of software maintenance are: corrective software maintenance, adaptive software maintenance, perfective software maintenance, and preventive software maintenance.
Because predictive, routine and preventive maintenance can save your company time, money and stress, many companies place an emphasis on keeping abreast of these types of maintenance. This type, preventive maintenance, finds and repairs more minor problems and reduces the occurrence of major repairs. This type of maintenance is described as planned because it is based on well-established maintenance programs and concrete data. Among all the types of maintenance mentioned above, condition-based maintenance is the most complicated to implement.
Default maintenance is not a popular type of maintenance, since it depends on programs delivered by manufacturers. Many companies find it difficult to differentiate between the different types of maintenance strategies or which maintenance program is ideal for them. . .
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