Application of DMAIC method in an industrial case study
Application of DMAIC method in an industrial case study
Índice
Purpose. In the present work DMAIC methodology is implemented in a Portuguese enterprise. The main goal is to reduce the percentage of non-conformities in an injection molded part for the automotive industry, through the elimination of defects that appear after painting.
Design/methodology/approach. The DMAIC method was adopted to find an optimal set of factors that reduce the existing non-conformities. Along the five DMAIC phases, different quality tools were implemented to identify the root causes of the problem and to develop an action plan to reduce defects and minimize the process variability.
Findings. In the application of this method, teamwork and brainstorming were essential for satisfactory results in a short period of time. A key finding is that the analysis of the possible causes that gave rise to the problem must be carried out separately, in order to easily identify the changes that created a significant improvement in the process.
Research limitations/implications. The project is not fully completed since some of the improvement actions are being implemented.
Originality/value. This paper describes a practical application of DMAIC methodology that contributed to reduce part defects and improve the production process of a Portuguese company.
See paper
Allen, T. T. (2006) Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems. 1st ed, Technometrics. 1st ed. Springer. doi: 10.1198/tech.2007.s489.
Antony, J. (2006) ‘Six sigma for service processes’, Business Process Management Journal, 12(2), pp. 234–248. doi: 10.1108/14637150610657558.
Cavanagh, R. R., Neuman, R. P. and Pande, P. S. (2005) What is design for six sigma? New York : McGraw-Hill. doi: 10.1036/0071423893.
Costa, J. P., Lopes, I. S. and Brito, J. P. (2019) ‘Six Sigma application for quality improvement of the pin insertion process’, Procedia Manufacturing. Elsevier B.V., 38(2019), pp. 1592–1599. doi: 10.1016/j.promfg.2020.01.126.
Crawford, R. J. (1998) Plastics Engineering. 3rd ed. Butterworth-Heinemann. Hutwelker, R. (2019) Six Sigma Green Belt Certification Project. Springer.
Mast, J. and Lokkerbol, J. (2012) ‘An analysis of the Six Sigma DMAIC method from the perspective of problem solving’, International Journal of Production Economics. Elsevier, 139(2), pp. 604–614. doi: 10.1016/j.ijpe.2012.05.035.
Mehrjerdi, Y. Z. (2011) ‘Six–Sigma: Methodology, tools and its future’, Assembly Automation, 31(1),
- 79–88. doi: 10.1108/01445151111104209.
Patel, N. and Shah, S. (2015) ‘A Review on Implementation of Six Sigma in Manufacturing Industries’, Journal of Emerging Technologies and Innovative Research (JETIR), 2(2), pp. 368–371. Available at: http://www.jetir.org/papers/JETIR1502035.pdf.
Shankar, R. (2009) Process Improvement Using Six Sigma. Milwaukee USA: ASQ Quality Press.
Smętkowska, M. and Mrugalska, B. (2018) ‘Using Six Sigma DMAIC to Improve the Quality of the Production Process: A Case Study’, Procedia – Social and Behavioral Sciences. The Author(s), 238, pp. 590–596. doi: 10.1016/j.sbspro.2018.04.039.
Zasadzien, M. (2017) ‘Application of the six sigma method for improving maintenance processes – case study’, ICORES 2017 – Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, 2017-Janua(Icores), pp. 314–320. doi: 10.5220/0006184703140320.
DMAIC, quality improvement, non-conforming
