MADE Digital WP5.3 - Designing Self-Configuring and Self-Learning Smart Factories

  • Bøgh, Simon (CoPI)
  • Chrysostomou, Dimitris (CoPI)
  • Anguiozar, Nerea Urrestilla (Project Participant)
  • Andersen, Rasmus Skovgaard (Project Participant)
  • Arexolaleiba, Nestor Arana (Project Participant)

Project Details

Description

In the smart factory, all machines, robots and systems are connected and can talk and interact with each other. The digital technologies tie all business processes together in the organization and create a production that is constantly adapting to new demands from customers, suppliers and the outside world.

In MADE Digital work package 5, Smart Factories, we work on how digital technologies can be applied in Danish companies to create smarter production.

Specifically, in WP5.3, the research work is concerned with developing adaptive learning algorithms enabling robots to adapt to variations in input, continuously perform corrections during processing and adjust processes based on the quality of the produced output.

Layman's description

Our research is focus on introducing self-learning capabilities in smart factories to optimize industrial processes in food manufacturing.
Short titleMADE Digital WP5.3
StatusFinished
Effective start/end date01/03/201731/12/2019

Keywords

  • made digital
  • self-learning factories
  • Reinforcement Learning
  • smart factories

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