Abstract
In the context of a worldwide market competition, the current economic framework defies organizations with numerous challenges. Nowadays is no longer enough to produce. The modern production values are based on quality as a condition for achieving productivity and competitiveness. However, quality is not static, it is constantly being changed, and since customers are increasingly demanding, any industrial organization that aims to be competitive it is compelled to innovate. In such competitive environment the organizations increasingly seek to produce with the best quality at the lowest possible cost, to ensure their own survival. One tool to achieve the aforementioned targets is the Statistical Process Control (SPC)—a powerful management method which allows for both quality improvement and waste elimination. In this paper a case study of a Portuguese automotive small and medium-sized enterprise (SME) where SPC is implemented is analysed. The normality test used at the SME in question is Kolmogorov-Smirnov (K-S). In this case the SPC method shows that the process is centred and meets the acceptance criteria and the K-S shows that the recorded data follow a normal distribution. However, when the K-S test is replaced by the Shapiro-Wilk test the results show that the tested data are not from a normally distributed population. In this paper the results and the consequences of the Shapiro-Wilk test are analysed and discussed and a solution is proposed to improve the utilized SPC tool at the SME.
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Acknowledgements
The current study was funded in part by Fundação para a Ciência e Tecnologia (FCT), under project UID/EMS/00151/2013 C-MAST, with reference POCI-01-0145-FEDER-007718.
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Godina, R., Rodrigues, E.M., Matias, J.C. (2018). An Alternative Test of Normality for Improving SPC in a Portuguese Automotive SME. In: Viles, E., Ormazábal, M., Lleó, A. (eds) Closing the Gap Between Practice and Research in Industrial Engineering. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-58409-6_31
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DOI: https://doi.org/10.1007/978-3-319-58409-6_31
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