Predicting when and how often maintenance needs to be done to keep your business running. That, in one sentence, is what predictive maintenance is. Good ERP software can help you do that. How?

One of the greatest challenges facing the manufacturing industry, and more specifically the process industry, is the efficiency gains that companies must make. Thanks to the booming economy, the demand for products is high and the competition is not sitting still. An ERP system helps to speed up and connect processes.

But this digitization is of no use if the automation (the machines themselves) fail. For many manufacturers, failure of one of the assets is a huge risk that must be prevented at all times. If machines or even entire production lines fail, it threatens all other parts of your business.

You have no use for digitization if the automation (the machines themselves) occasionally fail.

Big Data

Predictive maintenance is the solution. Performing maintenance to prevent downtime in the future. Only: when and how often should maintenance be performed? And what should the total cost be? When is predictive maintenance cost-effective?

The answer to those questions is hidden in all the data that your ERP package collects and links together for you. This includes the production figures, the hours that the machines have been running, the contracts with maintenance parties (contract management), the revenue per machine and the costs of new machines (purchasing).

Internet of Things

To complement this, more and more manufacturers are benefiting from machines that themselves collect and transmit data to the ERP system, through the Internet of Things (IoT). In the process industry also known as Industrial Internet of Things, Industry 4.0 or Smart Industry. For example, these smart machines transmit malfunctions themselves or indicate when a part needs to be replaced or refurbished.

In short, predictive maintenance at its best is maintenance that is predicted by combining and interpreting various data from your ERP system and from the Internet of Things. The trick is to combine the right data and draw the right conclusions from it. Logres can advise you on additional plugins to help you do this.

Do you want an ERP system that can serve as a co-base for predictive maintenance? We can advise you! Contact one of our consultants.

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