What Is Predictive Maintenance?
Predictive Maintenance (PdM) is a technique designed to determine the condition of in-service equipment and estimate when maintenance should be performed. This method reduces cost over time because tasks are performed only when warranted. By scheduling corrective maintenance prevents unexpected equipment failures and emergency repairs to assets that need regular maintenance to keep your business running smoothly.
Some of the main components necessary for PdM are data collection and preprocessing, early fault detection, fault detection, time-to-failure prediction, maintenance scheduling and resource optimization. PdM is one of the driving forces for improving productivity and a way to achieve just-in-time in manufacturing.
One of the main components of Predictive Maintenance is performing periodic (offline) or continuous (online) equipment condition monitoring. The goal is to perform maintenance at a scheduled point of time when the maintenance activity is most cost-effective and before the equipment loses performance. By instituting PdM techniques, you can see a reduction in unplanned downtime costs because of failure. For instance, unplanned downtime costs can be in the hundreds of thousands per day depending on the industry.
Implementing Predictive Maintenance
Knowing that Predictive Maintenance is a great way to avoid unplanned downtime and incur higher manufacturing costs, the question is: how do you implement a predictive maintenance plan?
A few factors come into play here:
- Which are you most concerned with – unplanned downtime or cost of component failure?
- Are some machines and assets more “important,” meaning used more frequently, central to more production tasks?
- What type of software should you use to implement the PdM plan? Mobile or traditional paper?
- What industry standards are needed to ensure quality and efficiency of the assets? Your own standards, OEE or another industry standard?
Once you’ve determined these factors, use historical data collected on machine performance levels. Evaluate how often the machine has been down, what components fail regularly and how often maintenance is needed. Then you can come up with a prediction of when maintenance should be performed to avoid breakdown, create an inventory of parts for repair to keep on hand for regular maintenance, and identify resources needed to complete the maintenance.
Finding a Mobile Maintenance Solution
There are plenty of predictive maintenance & manufacturing solutions in the market. But Ventureforth offers a comprehensive suite of cloud mobile products that can help you track assets, schedule maintenance, schedule resources, and track work completed. Our applications work with or without network availability. If a technician is out in the field with no cellular or WiFi connectivity, they can still verify their location, complete work, track their work and add additional repairs needed.
Ventureforth applications work on iOS, Windows 10, and Android tablets and phones. Using platforms that employees are already familiar with, you can implement your Predictive Maintenance strategy sooner. Less time spent training means getting to work faster and completing maintenance work orders. Start saving money and time by using Ventureforth applications to get your Predictive Maintenance strategy going quickly!
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