Here, you use a program of inspections and tasks to find and fix small problems before they have a chance to turn into big problems. Preventive maintenance is basically the idea behind the old saying that “an ounce of prevention is worth more than a pound of cure”. One way to understand the benefits of preventive maintenance is to analyze all the problems that are avoided. Default maintenance consists of simply following the manufacturer's recommendations for maintenance, including when to perform inspections and maintenance.
For assets that don't fit any of these descriptions, it probably makes more sense to use preventive maintenance. As with many other strategies, you don't have to make a difficult choice between strictly one or the other. When an asset is newer, you can use default maintenance. Later, when you've created a maintenance and repair history, you can start adjusting the schedule to better suit your specific situation.
Choosing the right maintenance strategy starts with understanding your options, benefits and drawbacks. The tendency to fail usually has a bad reputation, but for a specific asset class and equipment, it is the best option. Use it when things are difficult or impossible to maintain, cheap to carry in inventory, easy to replace, or not essential to your operations. Preventive maintenance helps you detect problems early by scheduling inspections and tasks.
It also saves you money and frustration, since you can plan everything in advance. For default maintenance, everything is basically the same as with preventive maintenance, except that you follow a schedule set by the manufacturer, not by your department. State-based and predictive using sensors and special software to collect and analyze data from sensors installed directly on or near your assets. Depending on the conditions, the software searches for readings outside the preset parameters.
For prediction, the software analyzes the data to predict future failures long before they begin to develop. In the end, there is no perfect strategy for all time. You must choose the combination that best suits your assets, adjusting your approach as your assets age and your department collects data. Preventive maintenance aims to detect and fix problems before they occur.
It is usually carried out in the form of periodic inspections, which are usually carried out several times a year. The main benefit of preventive maintenance is that it can eliminate unplanned downtime, since the ideal is to detect problems before they occur. Condition-based maintenance is sometimes considered a more advanced alternative to preventive maintenance. Rather than inspecting them on a schedule, machines and systems are carefully observed for changes that could indicate an imminent failure.
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 type of maintenance is described as planned because it is based on well-established maintenance programs and concrete data. Predictive maintenance is generally considered to be the most advanced and intensive type of maintenance. Regardless of the type of maintenance strategies your equipment uses, different areas of a multi-family building should be regularly repaired to avoid costly repairs or extended downtime.
Many companies find it difficult to differentiate between the different types of maintenance strategies or which maintenance program is ideal for them. Predictive maintenance refers to a specific type of condition-based maintenance in which systems are constantly observed through sensor devices. 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.
To be successful in the field of building maintenance, it is useful to understand the different types of maintenance methods that exist and how and when they are used. . .
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