Glartek
Use Case
Preventive Maintenance
What is a Preventive Maintenance process?
It aims to reduce the likelihood of failures. The overall goal of this process is to increase assets’ lifetime by preventing potential errors from happening.
Preventive maintenance is usually executed, on different assets across the shop floor, by one maintenance specialist. This requires knowledge about specific details of every piece of equipment. Therefore, the process is usually executed by more experience maintenance specialists.

How is a Preventive Maintenance process implemented?

Has previously explained, preventive maintenance is a regular process that is scheduled according to equipment working hours or lifetime. Workers engage in regular processes to avoid breakdowns before they happen. These tasks can include replacing parts, verifications, and others, even if not needed. There are four different types of preventive maintenance that require specific types of know-how, which translates into high qualifications for maintenance professionals
- Calendar-based: The maintenance tasks are executed with a specific schedule.
- Usage-based: Maintenance is requested a specific metric is almost attained.
- Predictive maintenance: Predicts errors according to the equipment data history
- Prescriptive maintenance: Used as a predictive method in which AI assists maintenance professionals in their processes.
Independently from the method, the purpose of a checklist is to reduce error by providing humans with a support tool for their memory. Additionally, by providing the same checklist to a whole team, consistency patterns are also improved.
How Industry 4.0 can influence the process?
STEP 1: Process Digitalization
Processes can be digitized in platforms that organize the process, deploying a calendar with daily and future tasks for each worker to execute. It will allow not only to allocate tasks according to specific profiles, as well as track results, and control executions in real-time.


STEP 2: IoT Data
In addition, IoT information can be extracted from the equipment. Connections can be created and data becomes visible. For example, about the equipment behavior regarding temperatures, humidity and others. This places companies one step further to predictive maintenance.
Benefits
Error reduction
Efficiency increase
How can we help?
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