Siemens Manage MyMachines Offers Entry-Level CNC Machine Monitoring
Siemens’ Manage MyMachines is a cloud-based platform as a service enabling full tracking of machine kinematics as well as production data.
Share
Hwacheon Machinery America, Inc.
Featured Content
View MoreSiemens’ Manage MyMachines, one of the MindApps within the Mindsphere concept, is a cloud-based platform as a service enabling full tracking of machine kinematics as well as production data. The platform is marketed by Siemens as an entry point to shop digitalization. Machine shops and production departments, in conjunction with their system integrators and other business partners, can benefit from the platform’s transparent display of all CNC equipment on the floor regardless of location, brand, function or usage.
Manage MyMachines provides access to critical machine tool information, from bearing temperature to production by shift or job, scaled based on user needs. Unexpected line downtimes and off-normal machine kinematic conditions can be quickly identified and rectified. Predictive maintenance can be programmed such that an upcoming failure can be anticipated, with alerts sent, for example, to a local distributor for delivery of needed components.
Related Content
-
How this Job Shop Grew Capacity Without Expanding Footprint
This shop relies on digital solutions to grow their manufacturing business. With this approach, W.A. Pfeiffer has achieved seamless end-to-end connectivity, shorter lead times and increased throughput.
-
Leveraging Data to Drive Manufacturing Innovation
Global manufacturer Fictiv is rapidly expanding its use of data and artificial intelligence to help manufacturers wade through process variables and production strategies. With the release of a new AI platform for material selection, Fictive CEO Dave Evans talks about how the company is leveraging data to unlock creative problem solving for manufacturers.
-
Diving Deeper Into Machine Monitoring Data
Data visualization is the first step in using machine monitoring data, but taking it to the next level requires looking for trends within the data.