Visualization of all production and operating data
Continuous data collection of all workpieces
To support enhanced production, the Automation Systems division of Liebherr has developed four applications that support Industry 4.0 initiatives. A control system, LMS 4.0 (Liebherr Manufacturing System), permits customers to choose individually configurable software packages that meet their requirements for 4.0 applications.
The four packages include:
- Production Schedule App (PSA) - Users can manage production orders and processes
- Part Tracking App (PTA) - For logged part tracking in an assembly line
- Production Monitoring App (PMA) - For recording production and operating data There is also an app for the display of the machine status on a large screen or smartphone.
- Predictive Planned Maintenance (PPM) app - Allows for intelligent maintenance planning and can generate maintenance logs.
The PTA logs the workpiece data in a production cell before each workpiece is loaded into the system, thus offering a reliable process. Users can easily adapt and freely configure the data structure with an Excel template. In this structure, they can also define workpiece lists, based on priorities. Here, for example, they can generate workpiece lists that can be filtered as desired and offer possibilities for quality inspection.
Via the PSA, the workpiece flow and the production orders can be determined. This app also includes production order management. The operator can create production orders for loading unmachined parts, which contain part types, quantity and delivery date. The system can then process these orders statically (according to sequence) or dynamically (according to delivery date).
The operation and production monitoring of the line is effected via the PMA. All operating and production data of each station is recorded and can be evaluated accordingly. This way system availabilities and downtimes can be determined and visualized. With this data, weaknesses in the system can be detected and then optimized.
PPM allows for intelligent maintenance planning and can generate maintenance logs. The self-learning system registers the wear curves of the individual stations and can create intelligent maintenance planning in order to reduce and plan downtimes.
Large screens as well as mobile end devices are considered for the display. They are all controlled via the Info Board App. As a result, the user can have the operating states displayed on the machine, cell, station or component, call up workpiece counters and perform remote monitoring.
For more information contact:
Liebherr Gear Technology, Inc.
1465 Woodland Drive
Saline, MI 48176-1259
734-429-7225
info.lgt@liebherr.com
www.liebherr.com