An important problem in control chart implementation is the availability of resources to collect and analyze data for control charts implementation. This paper proposes a method to prioritize and select final product parameters to control. The prioritization is based on cost of quality and technical criticality of those parameters. The prioritization method is demonstrated by a case study of flexible printed circuit manufacturing.
DOI: j.dsl.2013.04.001 Keywords: Control charts ,Statistical process control Parameter prioritization Parameter selection ,Cost of quality ,Failure costs How to cite this paper: Tan-intara-art, S & Rojanarowan, N. (2013). Prioritization and selection of parameters for control chart implementation based on technical criticality and cost criticality.Decision Science Letters, 2(3), 203-210.
References Antony, J., & Taner, T. (2003). A conceptual framework for the effective implementation of statistical process control. Business Process Management Journal, 9, 473-489.Bamford, D.R., & Greatbanks, R.W. (2005). The use of quality management tools and techniques: A study of application in everyday situations. International Journal of Quality & Reliability Management, 22, 376-392.Does, R.J.M.M., Schippers, W.A.J., & Trip, A. (1997). A framework for implementation of statistical process control. International Journal of Quality Science, 2, 181-198.Fotopoulos, C., Kafetzopoulos, D., & Gotzamani, K. (2011). Critical factors for effective implementation of the HACCP system: A Pareto analysis. British Food Journal, 113, 578- 597.Goh, T.N., Xie, M., & Xie, W. (1998). Prioritizing processes in initial implementation of statistical process control. IEEE Transactions on Engineering Management, 45, 66-72. IPC Standard 9191. (1999). General guidelines for implementation of statistical process control (SPC). Joekes, S., & Barbosa, E.P. (2013). An improved attribute control chart for monitoring non- conforming proportion in high quality processes. Control Engineering Practice, 21, 407- 412. Kang, B.S., Choe, D.H., & Park, S.C. (1999). Intelligent process control in manufacturing industry with sequential processes. International Journal of Production Economics, 60-61, 583-590. Omachonu, V.K., Suthummanon, S., & Einspruch, N.G. (2004). The relationship between quality and quality cost for a manufacturing company. International Journal of Quality & Reliability Management, 21, 277-290.Ribeiro, J.L.D., Caten, C.S. & Fritsch, C. (2001). Integrated process control. International Journal of Quality & Reliability Management, 18, 444-464.Rojanarowan, N., & Jirasettapong, P. (2012). Prioritizing processes and selecting parameters for control charts implementation. Advanced Science Letters, 14, 310-315.Schippers, W.A.J. (1998). Applicability of statistical process control techniques. International Journal of Production Economics, 56-57, 525-535. Stuart, M., Mullins, E., & Drew, E. (1996). Statistical quality control and improvement. European Journal of Operational Research, 88, 203-214. Vommi, V.B., & Seetala, M.S.N. (2007). A new approach to robust economic design of control charts. Applied Soft Computing, 7, 211-228.Wang, W., & Zhang, W. (2008). Early defect identification: application of statistical process control methods. Journal of Quality in Maintenance Engineering, 14, 225-236. Xie, M., Goh, T.N. & Xie, W. (1995). Prioritizing processes for better implementation of statistical process control techniques. IEEE Annual International, 260-263. |
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