Browsing by Subject "Deviation Detection"

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A Framework for Online Detection and Reaction to Disturbances on the Shop Floor Using Process Mining and Machine Learning

Fischer, Markus; Pourbafrani, Mahsa; Kemmerling, Marco; Stich, Volker (Hannover : publish-Ing., 2020)

The shop floor is a dynamic environment, where deviations to the production plan frequently occur. While there are many tools to support production planning, production control is left unsupported in handling disruptions. ...
Adaption of the Level of Development to the Factory Layout Planning and Introduction of a Quality Assurance Process

Neuhäuser, Thomas; Lenz, Lisa; Weist, Kai; Hohmann, Andrea; Daub, Rüdiger (Hannover : publish-Ing., 2022)

Current developments and trends are causing an increasingly turbulent environment for manufacturing companies. In order to respond to these dynamic market conditions, products and thus also production systems have to be ...
Managing Disruptions in Production with Machine Learning

Samsonov, Vladimir; Enslin, Christmarie; Lütkehoff, Ben; Steinlein, Felix; Lütticke, Daniel; Stich, Volker (Hannover : publish-Ing., 2020)

Changing customer demands lead to increasing product varieties and decreasing delivery times, which in turn pose great challenges for production companies. Combined with high market volatility, they lead to increasingly ...

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