MDA App

Machine data acquisition Solutions with complete SAP Integration

Would you like to make your production processes more efficient? By optimising and improving your production processes you will increase your manufacturing productivity and the utilisation of your machines. This can have a very positive effect on your operating results.

Machine data acquisition (MDA) is the interface between the production machines and the processing of information. MDA automatically records all situations, batch sizes and process data, making it available for further processing and individual analyses. These data can be fed direct into the machine control mechanism as parameters and act as a data source for production data acquisition.

Membrain GmbH has developed a solution that meets all the requirements of a professional machine data acquisition system. MembrainSFC MDA is a practical and cost effective solution that is very easy to implement. The use of standard modules makes the outlay for a project comparatively very low. It is integrated in other systems via a standard interface. This allows even an ERP system to be very easily connected and, e.g. work orders to be downloaded direct. Feedback can thus be entered direct in SAP without great expense.

Standard MDA components

Automatic data acquisition
MembrainSFC MDA supports automatic data acquisition with its interfaces to all conventional control mechanisms and OPC products. 

Manual acquisition
It is also possible to input data manually, e.g. when setting up or starting up.

Production and process monitoring
The production-related data for the software-supported production and process monitoring is gathered and organised centrally before being made available to the user for production/process monitoring and analysis.

Online machine monitoring
The use of online machine monitoring (e.g. with touchscreen monitors) enables the graphical display of the real-time status of individual workstations/machines within the MDA. Specific, real-time reactions are only enabled by the real-time representation of the operational process.

Automatic display of warning notices
As soon as the limit values specified in the MDA have been exceeded, or the threshold values have failed to be achieved, a pre-defined event will be triggered. This can take the form of an email notification to the production manager or machine operator, or even bring the machine to a stop.

Determination of the causes of machine downtime
MembrainSFC MDA offers the capability of being able to determine the respective causes of faults for machine downtime. To do so, potential causes of faults are defined and specified in advance for each machine or group of machines.

Complete data documentation
 In addition to the pure machine data, e.g. production times and downtimes, it is also possible to capture process data (e.g. temperature and pressure) and energy data (electricity, water consumption, steam, etc.).

Reports and analyses
MembrainSFC MDA can also make a number of analyses and statistics available locally or transmit them to a higher level (PDA, MES or ERP) for subsequent processing. This in turn supports the financial controlling, maintenance and production management departments with their tasks. It is also possible to create downtime analyses and visualisations of process data.

MembrainSFC MDA is also completely open and can also be integrated within other third party PDA systems. This dispenses with the need for a full platform migration. Integration within the MembrainRTC product line enables immediate communication with mobile terminals, databases, time recording and other solutions. Access to a complex yet controllable shop-floor communication system is therefore possible.

MembrainSFC MDA also supports the calculation of various key performance indicators, e.g. OEE (Overall Equipment Efficiency), TPI (Total Productivity Indicator) and MCE (Manufacturing Cycle Effectiveness). Once the key process and production data have been specified and determined, work can begin on evaluating the results in order to identify potential improvements. Improvement measures allow you to reach and maintain a higher level of productivity. The key process data of the production management system are used to permanently monitor the process performance.