| Reference: | [1] Ardia, D., Mullen, K., Peterson, BG. and Ulrich, J. (2011), DEoptim, Differential Evolution Optimization in R. URL http://CRAN.R-project.org/package=DEoptim.
[2] Bai, D. S. and Lee, K. T. (1998), “An economic design of variable sampling interval control charts,” International Journal of Production Economics, 54, 57-64.
[3] Cho, B. R. and Phillips, M. D. (1998a), “Design of the optimum product specifications for S-type quality characteristics,” International Journal of Production Research, 36(2), 459-474.
[4] Cho, B. R. and Phillips, M. D. (1998b), “An Empirical Approach to Designing Product Specifications: A Case Study,” Quality Engineering, 11(1), 91-100.
[5] Chou, C. Y., Chen, C. H. and Liu, H. R. (2006), “Economic Design of EWMA Charts with Variable Sampling Intervals,” Quality & Quantity, 40, 879–896.
[6] Crowder, S. V. (1987), “A simple method for studying run length distributions of exponentially weight moving average control charts,” Technometrics, 29, 401–407.
[7] Duncan, A. J. (1956), “The economic design of charts used to maintain current control of a process,” Journal of the American Statistical Association, 51(274), 228–242.
[8] Feng, Q. and Kapur, K. C. (2006), “Economic development of specifications for 100% inspection based on asymmetric quality loss function,” IIE Transactions, 38, 659-669.
[9] Hong, S. H. and Cho, B. R. (2007), “Joint optimization of process target mean and tolerance limits with measurement errors under multi-decision alternatives,” European Journal of Operational Research, 183, 327–335.
[10] Hong, S. H., Kwon, H. M., Lee, M. K. and Cho, B. R. (2006), “Joint optimization in process target and tolerance limit for L-type quality characteristics,” International Journal of Production Research, 44(15), 1051-3060.
[11] Kapur, K. C. (1988), “An approach for development of specifications for quality improvement,” Quality Engineering, 1(1), 63-77.
[12] Montgomery, D. C. (1980), “The economic design of control charts: a review and literature survey,” Journal of Quality Technology, 12(2), 75–87.
[13] Montgomery, D. C., Torng, J. C.-C., Cochran J. K. and Lawrence, F. P. (1995), “Statistically constrained economic design of the EWMA control chart,” Journal of Quality Technology, 27(3), 250–256.
[14] Panagos, M. R., Heikes R. G. and Montgomery, D. C. (1985), “Economic design of control charts for two manufacturing process models,” Naval Research Logistics Quarterly, 32, 631-646.
[15] Plackett, R. L. and Burman, J. P. (1946), “The Design of Optimum Multifactorial Experiments,” Biometrika, 33(4), 305-325.
[16] R Development Core Team (2011), R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
[17] Reynolds, M. R. JR., Amin, R. W., Arnold, J. C. and Nachlas, J. A (1988), “ charts with variable sampling intervals,” Technometrics, 30(2), 181-192.
[18] Roberts, S. W. (1959), “Control chart tests based on geometric moving averages,” Technometrics, 1, 239-250.
[19] Saccucci, M. S. and Lucas, J. M. (1990), “Average run length for exponentially weighted moving average control schemes using the markov chain approach,” Journal of Quality Technology, 22, 154-162.
[20] Yang, S. F., Cheng, T. C., Hung, Y. C. and Cheng, S. W. (2012), “A New Chart for Monitoring Service Process Mean,” Quality and Reliability Engineering International, 28(4), 377-386 |
