Using Six Sigma Methodology to Improve the Assembly Process in an Automotive Company
The exigencies of the permanently evolving markets require continuous adaptation of company offers. The development and continuous improvement of the quality and environment management systems would be to anticipate these developments and therefore fully satisfy the needs and expectations of each partner (customers, staff and other stakeholders) and also maintain competitive advantage. One of the possibilities of gaining operational excellence is implementing different quality improvement initiatives like Total Quality Management, ISO certification, Agile & Lean manufacturing etc. Real life demonstrated that these initiatives are neither time efficient nor profitable in terms of quality. Therefore introducing and implementing the Six Sigma methodology was proven to provide breakthrough quality improvements in a reasonable short time. This paper presents a creative solution for improving an assembly process in an automotive company in Romania by using Statistical Thinking and DMAIC Six Sigma methodology.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
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Supplemental Notes:
- © 2016 Adrian Pugna, et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Pugna, Adrian
- Negrea, Romeo
- Miclea, Serban
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Conference:
- 13th International Symposium in Management: Management During and After the Economic Crisis
- Location: Timisoara , Romania
- Date: 2015-10-9 to 2015-10-10
- Publication Date: 2016-6-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 308-316
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Serial:
- Procedia - Social and Behavioral Sciences
- Volume: 221
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0428
- Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Assembly lines; Business models; Business practices; Management and organization; Motor vehicle industry; Statistical analysis
- Identifier Terms: Six Sigma
- Geographic Terms: Romania
- Subject Areas: Administration and Management; Economics; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01786420
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 26 2021 2:30PM