Application of Statistical Process Control Tools to Improve Product Quality in Manufacturing Processes

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Quality control and improvement at the process level is a vital activity for the achievement of defect-free products in various manufacturing processes. This study employs statistical process control (SPC) tools such as control charts and process capability ratio for quality control and improvement. The control charts employed are , R and the cumulative-sum (CUSUM). The process capability ratio used is the so called process capability index (PCI). These tools have been implemented with the aid of Minitab® statistical software. In this study, the manufacturing process of gelatin capsules is investigated in terms of quality of the capsules, which are produced and shipped for use by various drug companies. As a result of implementation of SPC tools, an expected reduction in the number of defective capsules by 29% relative to the stage before implementation was achieved.

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4023-4027

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. C. Montgomery, Introduction to Statistical Quality Control. Hoboken, NJ: John Wiley & Sons, Inc., 2005, Chapter 1.

Google Scholar

[2] G. Lanza, J. Fleischer, and M. Schlipf, Statistical process and measurement control for micro production, Microsyst Technol, vol. 14, p.1227–1232, (2008).

DOI: 10.1007/s00542-007-0508-9

Google Scholar

[3] H. Sohn, J.A. Czarnecki, and C.R. Farrar, Structural health monitoring using statistical process control, Journal of Structural Engineering, p.1356–1363, (2000).

DOI: 10.1061/(asce)0733-9445(2000)126:11(1356)

Google Scholar

[4] A.R. Motorcu, and A. Gullu, Statistical process control in machining, a case study for machine tool capability and process capability, Materials and Design, vol. 27, p.364–372, (2006).

DOI: 10.1016/j.matdes.2004.11.003

Google Scholar

[5] S.H. Chenb, C.C. Yanga, W.T. Lina, and T.M. Yeh, Performance evaluation for introducing statistical process control to the liquid crystal display industry, Int. J. Production Economics, vol. 111, p.80–92, (2008).

DOI: 10.1016/j.ijpe.2006.12.055

Google Scholar

[6] S.S. Leu and Y.C. Lin, Project performance evaluation based on statistical process control techniques, Journal of Construction Engineering and Management, vol. 134, no. 10, p.813–819, (2008).

DOI: 10.1061/(asce)0733-9364(2008)134:10(813)

Google Scholar

[7] J. Cao, Y.S. Wong, and K.S. Lee, Application of statistical process control in injection mould manufacturing, International Journal of Computer Integrated Manufacturing, vol. 20, no. 5, p.436–451, (2007).

DOI: 10.1080/09511920601160148

Google Scholar

[8] S. Chakraborti, S.W. Human, and M.A. Graham, Phase I statistical process control charts: an overview and some results, Quality Engineering, vol. 21, no. 1, p.52–62, (2009).

DOI: 10.1080/08982110802445561

Google Scholar

[9] S. Panagiotidou and G. Nenes, An economically designed, integrated quality and maintenance model using an adaptive Shewhart chart, Reliability Engineering and System Safety, vol. 94, p.732–741, (2009).

DOI: 10.1016/j.ress.2008.07.003

Google Scholar

[10] Y.C. Lin, and C.Y. Chou, Adaptive control charts with sampling at fixed times, Qual. Reliab. Engng. Int., vol. 21, p.163–175, (2005).

DOI: 10.1002/qre.613

Google Scholar

[11] D.A. Serel, Economic design of EWMA control charts based on loss function, Mathematical and Computer Modelling, vol. 49, p.745–759, (2009).

DOI: 10.1016/j.mcm.2008.06.012

Google Scholar

[12] Z. Wu, M. Xie and Y. Tian, Optimization design of the & S charts for monitoring process capability, Journal of Manufacturing Systems, vol. 2, no. 2, p.83–92, (2002).

DOI: 10.1016/s0278-6125(02)80002-4

Google Scholar

[13] A. Hassan, M.S. Baksh, A.M. Shaharoun, and H. Jamaluddin, Improved SPC chart pattern recognition using statistical features, INT. J. PROD. RES., vol. 41, no. 7, p.1587–1603, (2003).

DOI: 10.1080/0020754021000049844

Google Scholar

[14] O. Bataineh, and A. Al-dwairi, A case study on using SPC tools to improve manufacturing quality of empty hard gelatin capsules, The 11th International Conference on Quality in Research (QIR), (2009).

DOI: 10.1504/ijpqm.2012.046366

Google Scholar