S. Cox
A New Method to Improve the Objectivity of Early Six Sigma Analysis
Cox, S.; Elton, V.; Garside, J.; Kotsialos, A.; Marmo, J.V.; Cunha, L.; Lennon, G.; Gill, C.
Authors
V. Elton
J. Garside
A. Kotsialos
J.V. Marmo
L. Cunha
G. Lennon
C. Gill
Abstract
Purpose A process improvement sampling methodology, known as Process Variation Diagnostic Tool (PROVADT), was proposed by Cox et al (2013). The method was designed to support the objectivity of Six Sigma projects performing the Measure-Analyse phases of the Define-Measure-Analyse-Improve-Control (DMAIC) cycle. An issue in PROVADT is that it is unable to distinguish between measurement and product variation in the presence of a poor Gage R&R result. In this paper PROVADT’s sampling structure is improved and addresses this issue by enabling a true Gage R&R as part of its design. Design/methodology/approach This paper derives an enhanced PROVADT method by examining the theoretical sampling constraints required to perform a Gage R&R study. The original PROVADT method is then extended to fulfil these requirements. To test this enhanced approach, it was applied first to a simulated manufacturing process and then in two industry case studies. Findings This paper derives an enhanced PROVADT method by examining the theoretical sampling constraints required to perform a Gage R&R study. The original PROVADT method is then extended to fulfil these requirements. To test this enhanced approach, it was applied first to a simulated manufacturing process and then in two industry case studies. Originality/value The work into the PROVADT method aims to improve the objectivity of early Six Sigma analyses of quality issues, which has documented issues.
Citation
Cox, S., Elton, V., Garside, J., Kotsialos, A., Marmo, J., Cunha, L., …Gill, C. (2016). A New Method to Improve the Objectivity of Early Six Sigma Analysis. International Journal of Quality and Reliability Management, 33(9), 1364-1393. https://doi.org/10.1108/ijqrm-02-2015-0023
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 17, 2015 |
Online Publication Date | Aug 19, 2016 |
Publication Date | Oct 3, 2016 |
Deposit Date | Dec 10, 2015 |
Publicly Available Date | Mar 28, 2024 |
Journal | International Journal of Quality and Reliability Management |
Print ISSN | 0265-671X |
Publisher | Emerald |
Peer Reviewed | Peer Reviewed |
Volume | 33 |
Issue | 9 |
Pages | 1364-1393 |
DOI | https://doi.org/10.1108/ijqrm-02-2015-0023 |
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This article is © Emerald Group Publishing and permission has been granted for this version to appear here http://dro.dur.ac.uk/17092/. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.
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