Analysis of Production Disturbances with the Use of Big Data: Identifying Quality Issues Through a Case Study at an Electronics Manufacturer
Typ
Examensarbete för masterexamen
Program
Production engineering (MPPEN), MSc
Publicerad
2020
Författare
Arnason, Madeleine
Idoffsson, Matilda
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In Industry 4.0 and Quality 4.0 one of the key enablers is big data and the analysis
of it. The interest in Industry 4.0 and the possibilities that comes with it seems to
be limitless. However, the implementation comes with big challenges and there is a
big knowledge gap when it comes to implementation. Big data analysis can be one
of the key enablers to reduce production disturbances and to gain a more controlled
and predictable manufacturing process. Therefore, this thesis has investigated how
data can be analyzed and what has to be considered when analyzing production
data. A case study has been performed at a company in Sweden that has been
gathering data for a while but not yet started the analysis. Through current state
mapping of the production and the pre-gathered data, insights of the manufacturing
process have been obtained. Production tests were performed where a gap in the
data was uncovered in order to investigate whether that could affect the production
outcome. Through those investigations, this thesis could conclude that it is of very
high interest and importance to have a closed loop of data to enable complete and
reliable analysis.
Beskrivning
Ämne/nyckelord
Industry 4.0, Quality 4.0, Production Prediction, Production Disturbances , Big Data Analysis, Quality Improvement, Manufacturing Processes