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X-Kanban Development of a self-learning eKanban-System using autonomous sensor modules In this research project, an eKanban system was developed that implements the benefits of modern, intelligent Industrie 4.0 solutions while remaining economical for companies to integrate and operate. This includes low-cost, autonomous sensor modules that are easy to install and demonstrate low power consumption to enable full inventory monitoring. The eKanban system itself is linked via a cloud with machine learning methods that continuously learn material demand behavior and thus constantly optimize material provisioning in terms of replenishment time during operation. In this way, a reduction in inventories of up to 30% could be achieved in an example scenario, which was validated by means of a detailed material flow simulation. Contact persons: A. Ait Alla   (Project manager)M. Kreutz Funded by: BMWi Duration: 01.01.2020 - 31.03.2022 See project's publications List all projects |
