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Approach for Risk Identification and Assessment in A Manufacturing System

: Klöber-Koch, J.; Braunreuther, S.; Reinhart, G.

Volltext ()

Procedia CIRP 72 (2018), S.683-688
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <51, 2018, Stockholm>
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGCV ()

The growing number of sensors in production systems increases the availability of data for a manufacturing system. This data can be employed to recognize process related, operative risks during the production process more precisely and estimate the risk level of a factory. This renders the possibility to reduce possible risks, like machine breakdown or tool failure, even before their occurrence. We therefore present an approach of risk identification of a production system based on sensor induced events from the shop floor and a possible evaluation scheme of such risks. The described case study demonstrates the feasibility of the approach.