Proactive service management is a major component of the integrated smart factory. With its ASM Equipment Center, ASM presents a comprehensive software solution for non-proprietary service management to optimize the planning and execution of maintenance activities
ASM bases its approach on the integrated use of powerful open communication standards like and ASM OIB. While most vendors’ service solutions are limited to their own equipment, ASM’s Equipment Center also includes machines from other makers. The highly efficient predictive maintenance concept with the visualization on a digital 3D twin, real-time data communication with machine sensors and the paperless provision of checklists is one component of ASM’s Service 4.0 initiative.
Each machine’s status at a glance
Red-yellow-green indicators show for each machine whether and when maintenance is required. In connection with ASM Equipment Center, the system can display sensor data, usage hours, maintenance histories, and much more. The consideration of preprogrammed fixed maintenance intervals paired with units produced, machine run-times and other parameters makes it possible to plan and schedule maintenance operations in accordance with the actual production numbers and machine usage.
ASM technical support for service activities
Furthermore, ASM Equipment Center helps also with the execution of maintenance and service operations. It provides a central digital repository of all the information needed to keep the equipment running and troubleshoot problems.
Examples include checklists and maintenance instructions as well as videos that visualize operating steps.
Instant user benefits
With ASM Equipment Center, service managers get a powerful software tool that supports the central planning and control of service operations, provides support for service technicians and makes the logging and controlling of service operations exceptionally easy. And with the digital twin in fabLIVE, service-relevant information can be viewed and analyzed on desktops and mobile devices far away from the factory floor.
The resulting support for predictive maintenance shortens response times dramatically, reduces production stops, and improves performance.