J. Ma
The relationships between shop floor management and QCCs to support Kaizen
Ma, J.; Jiao, F.; Lau, C.; Lin, Z.
Abstract
Purpose - The purpose of this study is to develop and redefine the ‘classic’ roles of shop floor management and Quality Control Cycles (QCCs) in Kaizen. In specific, it aims to examine the linkage between shop floor management and QCCs, and test the relationships among shop floor management, QCCs and long-term Kaizen improvement outcomes. Design/methodology/approach – This study employs qualitative method by using a questionnaire to obtain data from 371 respondents in nine Sino-Japanese automotive jointventures. The data are analysed with the method of canonical correlation approach. Findings – The study identifies important factors to assist the adoption of shop floor management and QCCs for Kaizen. The analysis on the survey indicates that not all the shop floor management tools could help to identify improvement opportunities. QCCs are effective in addressing large problems and challenging current policies in companies, however, they have low impacts on individual learning. Research limitations/implications – The data of this study comes from nine Sino- Japanese automotive joint ventures. Therefore, the sample selection is limited in these companies. The findings are able to be applied for improving the similar problems which identified in this study. Practical implications – The study has the following practical implications, include the first one which is small shop floor problems can be identified and rapid solved continuously at source by shop floor management. The second one is QCCs, or other similar group-based improvement approaches take long to be fully addressed and implemented. Thirdly, practical solutions can be achieved from small and gradual changes, and they can prevent the results backsliding to the pre-improvement stage. Finally, QCCs are hardly to achieve a better improvement alone. It requires other Kaizen approaches to support. Originality/value – This study is probably the first to explore and investigate the implementation of the four building block tools of shop floor management in real business practise, and more specific the first to discuss the relationship among shop floor management, QCCs and long-term improvement outcomes based on empirical data from Sino-Japanese automotive joint-ventures.
Citation
Ma, J., Jiao, F., Lau, C., & Lin, Z. (2018). The relationships between shop floor management and QCCs to support Kaizen. International Journal of Quality and Reliability Management, 35(9), 1941-1955. https://doi.org/10.1108/ijqrm-09-2017-0192
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 9, 2018 |
Online Publication Date | Aug 22, 2018 |
Publication Date | Aug 22, 2018 |
Deposit Date | Apr 21, 2018 |
Publicly Available Date | Apr 23, 2018 |
Journal | International Journal of Quality and Reliability Management |
Print ISSN | 0265-671X |
Publisher | Emerald |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 9 |
Pages | 1941-1955 |
DOI | https://doi.org/10.1108/ijqrm-09-2017-0192 |
Keywords | Kaizen, Shop floor management, QCCs. |
Public URL | https://durham-repository.worktribe.com/output/1328730 |
Files
Accepted Journal Article
(777 Kb)
PDF
Copyright Statement
This article is © Emerald Group Publishing and permission has been granted for this version to appear here (http://dro.dur.ac.uk/24628). 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
You might also like
The impact of digital governance on tourism development
(2024)
Journal Article
The effect of different types of virtual influencers on consumers’ emotional attachment
(2024)
Journal Article
Ensemble learning with dynamic weighting for response modeling in direct marketing
(2024)
Journal Article
From faces to feels: The impact of human images on online review usefulness
(2023)
Journal Article
Two birds with one stone: Goal conflict handling and its effect on well-being
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search