Increase your overall machine availability

Companies waste a lot of time and money on maintaining their machines unnecessarily. They have functioning equipment serviced and intact parts replaced because it is their turn according to the manufacturer’s recommendation. Despite this, they are not protected from costly unplanned breakdowns. This is not economical.

Symvio has developed a smart maintenance solution that allows companies to predict the failure of their machines based on data and maintain their machines in time before damage occurs. Less maintenance costs, less firefighting and more time for the core business.

The problem

If one of your machines breaks down unexpectedly, it can put your entire production on hold. Poor quality products, delayed deliveries and cancelled orders are the consequences. While you may have isolated production data, you lack an overall view. This means that you cannot predict failures, but can only react and try to find and rectify the error as quickly as possible.

To reduce unplanned downtime, you maintain your machines at scheduled intervals – regardless of actual wear and tear. This is not economical. Because time and again you unnecessarily service machines too early and thus cause high costs due to maintenance times and the procurement and storage of spare parts.

If something has broken down, you have to respond – day and night. It is your responsibility to get the machines up and running again as quickly as possible. Hardly anyone ever notices what you do. Usually you only hear: not fast enough or not good enough.

If your team does a good job and machine availability is high, management sees this as a reason to cut your maintenance budgets. If faults and breakdowns occur, it must be due to your lack of competence. But you simply don’t have enough staff to do your job since the last round of cost-cutting.

The solution

The solution

With Symvio’s Smart Maintenance solution, you collect real-time data on your entire machine pool. This allows you to anticipate failures in good time and finally plan your maintenance measures based on data.

1. Collect data automatically

Get a real-time overview of your equipment – with data that we collect via sensors or interface.

2. Detect deviations

Thanks to machine learning and advanced data analytics, we can identify target KPIs for each asset, diagnose deviations and provide automated recommended actions for troubleshooting.

3. Prevent downtime

Using past and real-time data analyses, you can reliably predict failures and prevent them in good time.

How do we start?

1. Initial Meeting (1h)

We discuss your current production challenges together and create a first concept of how you can save costs and prevent downtime through smart maintenance.

2. Pilot Project (4 weeks)

Test our Smart Maintenance System for four weeks on two machines and receive a real-time overview of the state of your machine pool.

3. Offer incl. roll-out

You will receive a detailed plan of which machines we can include in the monitoring.

The success

You have a real-time overview of the current state of your production systems, at all connected locations. Thanks to this new transparency, you can determine the optimal maintenance time for each machine. This means you no longer have to search for defects through trial and error, but know where to start. You have your operational costs under control and maintenance is no longer considered a cost factor but an integral part of your value chain and thus a strategic key driver of your company’s success.