The failure of individual machines or even a complete production shutdown are among the greatest and most costly risks for any manufacturer. The potential repercussions bring the importance of predictive plant maintenance based on precise production data sharply into focus. Hema will be capturing this data for a DMG milling center in future using
digitalization tools from Siemens
, which will enable parts to be exchanged at just the right moment before they actually exceed their service life and become faulty. This also allows the optimum balance to be achieved between availability, capacity utilization and quality with OEE (Overall Equipment Effectiveness).
This was achieved by implementing the software tools Analyze MyCondition (AMC) and Analyze MyPerformance (AMP) on a Sinumerik 840D sl. AMC informs maintenance personnel via email about the condition of the entire plant before an alarm can be triggered by a malfunction. On the basis of the software, the technicians are able to predictively plan maintenance intervals and then adapt them to the actual condition of the machine. AMP’s analytical functions allow Hema to improve the plant’s output by carrying out a transparent check of its performance in real time. Engineers from Siemens not only supported the implementation process but will also be providing continuous system maintenance moving forward.