Approach for Risk Identification and Assessment in A Manufacturing System

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.