ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

Challenges and Opportunities while Introducing Industry 4.0 within Aerospace Component Manufacturing

5 September 2018, 11:30 – 11:50


Submitted by
Sören Knuts
Sören Knuts (GKN Aerospace Sweden)
Statistical Process control is an implemented tool and requested tool in order to show that a manufacturing process is within statistical control. Statistical control demands that Key Process Variables and Product Key Characteristics on the manufacturing process is measured in order to show fulfilment, and to give a warning signal whenever a characteristic fall outside the limits. This is a requirement whenever production of a new product is started in a Production Part Approval Process (PPAP).

In a recent study, it has been shown that the process measurements that are performed today are too few and more data is requested to fulfill the need of the new Industry standard 4.0, where implementation is on going. In the study that focuses on GKN Aerospace Sweden it is shown what the challenges are, and how this can be taken care of both in new and in current production.

It addresses also the opportunities that comes with having more data like use of Machine Learning algorithms in order to detect Multi-variable relations and automatic problem solving and guidance.
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