How to cite this paper
Bag, M., Gauri, S & Chakraborty, S. (2012). Feature-based decision rules for control charts pattern recognition: A comparison between CART and QUEST algorithm.International Journal of Industrial Engineering Computations , 3(2), 199-210.
Refrences
Bank, J. (1989). Principles of Quality Control. Singapore: John Wiley & Sons.
Breiman, L., Friedman, J.H., Olshen, R.A., & Stone, C.J. (1984). Classification and Regression Trees. Monterey, CA: Wadsworth and Brooks.
Cheng, C.S. (1997). A neural network approach for the analysis of control chart patterns. International Journal of Production Research, 35, 667-697.
Evans, J.R., & Lindsay, W.M. (1988). A framework for expert system development in statistical quality control. Computers and Industrial Engineering, 14, 335-343.
Gauri, S.K., & Chakraborty, S. (2006). Feature-based recognition of control chart patterns. Computers and Industrial Engineering, 51, 726-742.
Gauri, S.K., & Chakraborty, S. (2009). Recognition of control chart patterns using improved selection of features. Computers and Industrial Engineering, 56, 1577-1588.
Guh, R.S., Zorriassatine, F., Tannock, J.D.T., & O’Brien, C. (1999). On-line control chart pattern detection and discrimination - A neural network approach. Artificial Intelligence in Engineering, 13, 413-425.
Guh, R.S., & Shiue, Y.R. (2005). On-line identification of control chart patterns using self-organizing approaches. International Journal of Production Research, 43, 1225-1254.
Hassan, A., Nabi Baksh, M.S., Shaharoun, A.M., & Jamaluddin, H. (2003). Improved SPC chart pattern recognition using statistical features. International Journal of Production Research, 41, 1587-1603.
Hwarng, H.B., & Hubele, N.F. (1993). Back-propagation pattern recognizers for control charts: Methodology and performance. Computers and Industrial Engineering, 24, 219-235.
Lim, T.S., Loh, W.Y., & Shih, Y.S. (1997). An empirical comparison of decision trees and other classification methods. Madison: University of Wisconsin, Department of Statistics, Technical Report 979.
Loh, W.Y., & Shih, Y.S. (1997). Split selection methods for classification trees. Statistica Sinica, 7, 815-840.
Montgomery, D.C., & Peck, E.A. (1982). Introduction to linear regression analysis. New York: John Wiley & Sons.
Montgomery, D.C. (2001). Introduction to statistical quality control. New York: John Wiley & Sons.
Nelson, L.S. (1984). The Shewhart control chart - Test for special causes. Journal of Quality Technology, 16, 237-239.
Nelson, L.S. (1985). Interpreting Shewhart control chart. Journal of Quality Technology, 17, 114-117.
Pacella, M., Semeraro, Q., & Anglani, A. (2004). Manufacturing quality control by means of a fuzzy ART network trained on natural process data. Engineering Applications of Artificial Intelligence, 17, 83-96.
Perry, M.B., Spoerre, J.K., & Velasco, T. (2001). Control chart pattern recognition using back propagation artificial neural networks. International Journal of Production Research, 39, 3399-3418.
Pham, D.T., & Wani, M.A. (1997). Feature-based control chart pattern recognition. International Journal of Production Research, 35, 1875-1890.
Pham, D.T., & Oztemel, E. (1992a). XPC: An on-line expert system for statistical process control. International Journal of Production Research, 30, 2857-2872.
Pham, D.T., & Oztemel, E. (1992b). Control chart pattern recognition using neural networks. Journal of System Engineering, 2, 256-262.
Swift, J.A., & Mize, J.H. (1995). Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems. Computers and Industrial Engineering, 28, 81-91.
Western Electric (1958). Statistical Quality Control Handbook. Indianapolis: Western Electric Company.
Breiman, L., Friedman, J.H., Olshen, R.A., & Stone, C.J. (1984). Classification and Regression Trees. Monterey, CA: Wadsworth and Brooks.
Cheng, C.S. (1997). A neural network approach for the analysis of control chart patterns. International Journal of Production Research, 35, 667-697.
Evans, J.R., & Lindsay, W.M. (1988). A framework for expert system development in statistical quality control. Computers and Industrial Engineering, 14, 335-343.
Gauri, S.K., & Chakraborty, S. (2006). Feature-based recognition of control chart patterns. Computers and Industrial Engineering, 51, 726-742.
Gauri, S.K., & Chakraborty, S. (2009). Recognition of control chart patterns using improved selection of features. Computers and Industrial Engineering, 56, 1577-1588.
Guh, R.S., Zorriassatine, F., Tannock, J.D.T., & O’Brien, C. (1999). On-line control chart pattern detection and discrimination - A neural network approach. Artificial Intelligence in Engineering, 13, 413-425.
Guh, R.S., & Shiue, Y.R. (2005). On-line identification of control chart patterns using self-organizing approaches. International Journal of Production Research, 43, 1225-1254.
Hassan, A., Nabi Baksh, M.S., Shaharoun, A.M., & Jamaluddin, H. (2003). Improved SPC chart pattern recognition using statistical features. International Journal of Production Research, 41, 1587-1603.
Hwarng, H.B., & Hubele, N.F. (1993). Back-propagation pattern recognizers for control charts: Methodology and performance. Computers and Industrial Engineering, 24, 219-235.
Lim, T.S., Loh, W.Y., & Shih, Y.S. (1997). An empirical comparison of decision trees and other classification methods. Madison: University of Wisconsin, Department of Statistics, Technical Report 979.
Loh, W.Y., & Shih, Y.S. (1997). Split selection methods for classification trees. Statistica Sinica, 7, 815-840.
Montgomery, D.C., & Peck, E.A. (1982). Introduction to linear regression analysis. New York: John Wiley & Sons.
Montgomery, D.C. (2001). Introduction to statistical quality control. New York: John Wiley & Sons.
Nelson, L.S. (1984). The Shewhart control chart - Test for special causes. Journal of Quality Technology, 16, 237-239.
Nelson, L.S. (1985). Interpreting Shewhart control chart. Journal of Quality Technology, 17, 114-117.
Pacella, M., Semeraro, Q., & Anglani, A. (2004). Manufacturing quality control by means of a fuzzy ART network trained on natural process data. Engineering Applications of Artificial Intelligence, 17, 83-96.
Perry, M.B., Spoerre, J.K., & Velasco, T. (2001). Control chart pattern recognition using back propagation artificial neural networks. International Journal of Production Research, 39, 3399-3418.
Pham, D.T., & Wani, M.A. (1997). Feature-based control chart pattern recognition. International Journal of Production Research, 35, 1875-1890.
Pham, D.T., & Oztemel, E. (1992a). XPC: An on-line expert system for statistical process control. International Journal of Production Research, 30, 2857-2872.
Pham, D.T., & Oztemel, E. (1992b). Control chart pattern recognition using neural networks. Journal of System Engineering, 2, 256-262.
Swift, J.A., & Mize, J.H. (1995). Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems. Computers and Industrial Engineering, 28, 81-91.
Western Electric (1958). Statistical Quality Control Handbook. Indianapolis: Western Electric Company.