Learning Systems for Manufacturing Management Support

نویسندگان

  • Heimo Gursch
  • Andreas Wuttei
  • Theresa Gangloff
چکیده

Highly optimised assembly lines are commonly used in various manufacturing domains, such as electronics, microchips, vehicles, electric appliances, etc. In the last decades manufacturers have installed software systems to control and optimise their shop floor processes. Machine Learning can enhance those systems by providing new insights derived from the previously captured data. This paper provides an overview of Machine Learning fields and an introduction to manufacturing management systems. These are followed by a discussion of research projects in the field of applying Machine Learning solutions for condition monitoring, process control, scheduling, and predictive maintenance.

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تاریخ انتشار 2016