CBM and Maintenance Manager
The vast majority of equipment and machines for critical applications operate under a preventive maintenance (PM) to improve SLA and guarantee operation. In this model, parts are replaced based on time of use and the manufacturer's average wear recommendations, without the slightest indication of premature or late use of any component.
In other words, they are based on average failure periods observed by the manufacturer's engineering and therefore do not represent any particular operating condition, most often generating premature unnecessary replacements, increasing costs, as well as possible damage to assets during repairs that often result in downtime. unexpected.
In addition to reducing productivity, unexpected downtime causes a major operational and financial impact, as there is no planning or scheduled interruption of the operation. Remediation is conducted by reactive maintenance (MR), that is, based on the immediate and urgent need to replace components to restore operation as quickly as possible. However, immediate repair is not always viable, whether due to the lack of spare parts or the time required to restart the process, which may involve several other assets. In any case, interrupting the process is a loss counted on the clock.
Condition Based Maintenance (CBM – Condition Based Maintenance) has improved . CBM is a set of preventive maintenance processes triggered by asset information to ensure that maintenance is only performed when there is evidence of need. Maintenance is now called prescriptive ( Prescriptive Maintenance ) as it is managed based on the real need detected by the IIoT monitoring platform. CBM can also be useful in failure prevention by recognizing equipment degradation before a catastrophic failure occurs.
The objective of the CBM model is to move from a preventive maintenance program strictly based on a pre-fixed calendar to a preventive maintenance program based on the actual condition of the asset, reducing Reactive Maintenance to the minimum possible. This means that preventative maintenance tasks are scheduled based on the use or condition of the equipment (quantitatively and qualitatively, respectively) and not just the interval established by the manufacturer.
Another extremely important component for increasing efficiency is the use of a maintenance management module or Computerized Maintenance Management System (CMMS – Computerized Maintenance Management System) combined with the CBM model and integrated with the IIoT solution.
The IIoT platform must also include in its maintenance trigger rules, the stock conditions of spare parts to generate orders in time to plan and schedule them appropriately.
The most important thing is that the system must work in an integrated and digital way, from detecting abnormalities by reading signals of any kind to sending a work workflow directed to the maintenance team and integrated and automated parts ordering. This is the true process that has been called digitization.
Finally, the automated workflow process presents several gains, including the standardization of repair procedures in accordance with prescribed maintenance, elimination of variation in labor quality, and reduction of the need for team training.
Optimizing production processes is a complex problem that depends on the implementation of a system that encompasses the infrastructure with an integrated vision. To solve this challenge, Bridgemeter turn-key SaaS solution For a more in-depth look at all these layers and how to solve the problem, read the recently published IIoT and the Importance of Collaborative Infrastructure
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