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Reducing variation in the riveting process and measurement system
University West, Department of Engineering Science, Division of Mechanical Engineering and Natural Sciences.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In the automotive industry the attention to quality has increased. A common concept regarding quality improvement is the Six Sigma methodology. Six Sigma methodology is about improving the process and reducing variation. Six Sigma is a structured method with statistical and management tools to solve quality problems.

The bachelor thesis was performed at Autoliv Sweden AB and considered improving the company's riveting process. The objective was to suggest potential improvements for the riveting process and the measurement system. The pragmatic approach for the study was to perform a literature study and a data collection. Then the thesis was performed according to the theory with Six Sigma methodology. The riveting process and measurement system were defined, measured and analysed. After the analysing phase potential improvements were suggested.

The improvements were identified based on literature study, data collection and six sigma methodology. The improvements for the measurement system were operator training, constructing a new measuring fixture, updating the measuring instructions and reconstructing the measuring instruments. The improvement for the riveting process was to implement new levels for each significant factor to attain an acceptable output.

The conclusion of the study is that if Autoliv Sweden AB implements all the improvements the variation will be reduced in both the riveting process and the measurement system. The improvements will also reduce the potential costs with claims, rework and recalls.

Place, publisher, year, edition, pages
2015. , p. 43
Keywords [en]
Automotive Industry, Riveting, Six Sigma, Autoliv Sweden AB, Measurement system analysis, Design of experiment
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:hv:diva-7683Local ID: EXC507OAI: oai:DiVA.org:hv-7683DiVA, id: diva2:816824
Subject / course
Industrial organization and economics
Educational program
Industriell ekonomi
Supervisors
Examiners
Available from: 2015-06-05 Created: 2015-06-04 Last updated: 2015-06-05Bibliographically approved

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  • apa
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