Reduce your maintenance costs by up to 30%
Our cloud-based predictive maintenance solution helps you to avoid production downtime and minimize maintenance costs - simply and cost-effective.
What does predictive
Maintenance (PdM)
Predictive maintenance helps to avoid unexpected breakdowns and malfunctions of machines and systems. It is a proactive approach to maintenance.
By monitoring running times, counter readings and fault messages, the condition of the machine is assessed in advance so that maintenance measures and repairs can be carried out in a targeted manner before a problem occurs.
This minimizes downtimes, saves costs and ensures maximum system availability.
Why predictive maintenance is is indispensable for you
Higher
availability
With precise predictions
you recognize problems
at an early stage and avoid
expensive downtimes.
Lower maintenance costs
Optimize your
maintenance cycles and reduce
your costs for spare parts and unplanned repairs.
Higher
machine efficiency
Keep performance at
the highest level and
extend the
service life.
Optimize your maintenance processes
With predictive maintenance! Whether you want to get an overview first or start the conversation directly - we offer you the right option. We pick you up right where you are - take the next step towards efficiency and reliability!
Discover our solution in action and find out how you can minimize unplanned downtime.
Find out more about the benefits and technical setup of our Predictive Maintenance DEMO application.
Advantages using the demo example of mechanical and plant engineering:
A manufacturer of industrial machinery uses predictive maintenance to identify wear parts at an early stage and enable planned maintenance. This not only enables them to maximize machine availability for their customers, but also to realize their own benefits: Spare parts are procured in line with demand, regular maintenance turnover is secured and long-term customer relationships are strengthened. In addition, the manufacturer benefits from an improved reputation thanks to greater reliability and quality.
Challenges in industrial maintenance
The maintenance of machines presents companies with considerable challenges - especially when unexpected faults remain undetected and lead to production downtime or delivery delays.
A purely reactive approach, in which machines are only repaired or components replaced when a problem occurs, often results in long downtimes and an overload on the maintenance team.
However, even regular preventive maintenance work does not offer an optimal solution: resources are often used inefficiently, which in turn leads to avoidable costs.
It's so easy to get started with predictive maintenance
Everything begins with the identification and quantification of cause-and-effect relationships.
This includes analyzing the measured values (independent variables) to find out which specific data lead to quantitative statements (dependent variables) about potential upcoming problems.
The following overview shows you step by step how we develop a predictive maintenance solution that is optimally tailored to your individual requirements:
In the first step, we identify and quantify your input and outputvariables.
We then parameterize the suitable machine learning learning model for your
use case.
Equip your machines with sensors for continuous and precise data acquisition.
Our AI-supported software analyzes the data and recognizes problems at an early stage.
Benefit from precise maintenance recommendations - immediately and in real time.
Our PdM solution
Software as a service
Integration in third-party software
Simple introduction
Real-time monitoring
Proactive alarms
Historical value analysis
FAQ
What does our PdM solution do?
Our PdM solution enables the early detection of faults and maintenance issues on machines and systems before problems occur. We offer an end-to-end solution that can be integrated into existing machines and systems so that the investment is kept to a minimum and the savings are immediate.
Who are the target customers of our PdM solution?
On the one hand, medium-sized machine and plant manufacturers who want to make their spare parts business more predictable and be perceived as more reliable and of better quality in the eyes of their customers. On the other hand, companies as users of machines and industrial plants that want to avoid production interruptions and reduce their maintenance costs through better utilization of components.
What makes our PdM solution better than other providers?
It is 1. cheaper because we only make additions where necessary, 2. requires fewer changes to existing systems, 3. interacts with all sensors and IT systems, 4. is open to all technologies, although we first developed it on Azure, and is structured so flexibly that every customer situation can be served with manageable effort, costs and duration.
What are suitable steps towards a PdM solution?
The functional, i.e. technical, understanding of the customer's desired target situation is crucial: 1. which machine or system malfunctions should be detected and predicted with the help of PdM? 2. has the correlation between measured values (sensor technology) and error states (failures, maintenance indication, drop in performance, etc.) already been recorded numerically? 3. if not, then we can provide support here. 3. which sensors are used? If none, we can help you select suitable sensors.
What special requests can be fulfilled?
Basically all of them. As a rule, the supply of process control systems or special evaluation solutions (control towers, dashboards, etc.) is required or their development is requested. We fulfill these requests directly, as we control all stages of our PdM solution and do not depend on the functionality of third parties.
Do we also supply sensors?
No. However, we arrange for partners such as Vega, Endress & Hauser, IMF and many others to supply, install and commission them. We coordinate all related activities.
What does a PdM introduction cost?
The minimum project costs are EUR 15,000, provided the sensor technology is already available and the systems to be connected have interfaces (e.g. Wonderware, SAP, Rockwell, etc.). If hardware has to be procured or more complex developments are required, the costs increase. However, we calculate this in the quotation phase.
What running costs can be expected?
We offer a consumption-based license model. We can estimate the running costs based on the amount of expected measurement and forecast values and the number of machines/systems. We strive to minimize operating costs thanks to automation.
You can rely on our expertise in predictive maintenance. maintenance. Together, we can maximize the reliability of your systems and increase your competitiveness.
COMPANY
Business Automatica GmbH
Eisenbahnstraße 28
67725 Börrstadt
Germany
CONTACT
Gernot Reinmüller
(Managing Director)
Phone +49 176 3208 3776
Directions via Google Maps
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