On the implementation of the Shewhart sign control chart for low-volume production

References

• Amin, R. W., M. R. Reynolds Jr., and S. T. Bakir. 1995. “Nonparametric Quality Control Charts Based on the Sign Statistic.” Communications in Statistics: Theory and Methods 24 (6): 1597–1623.
   Web of Science ®Google Scholar
• Castagliola, P., G. Celano, S. Fichera, and G. Nenes. 2013. “The Variable Sample Size t Control Chart for Monitoring Short Production Runs.” International Journal of Advanced Manufacturing Technology 66 (9): 1353–1366.
   Web of Science ®Google Scholar
• Celano, G., P. Castagliola, S. Chakraborti, and G. Nenes. 2015. “The Performance of the Shewhart Sign Control Chart in Processes with a Finite Production Horizon.” International Journal of Advanced Manufacturing Technology.
   Web of Science ®Google Scholar
• Celano, G., P. Castagliola, S. Fichera, and E. Trovato. 2011. “Shewhart and EWMA t Charts for Short Production Runs.” Quality Reliability Engineering International 27 (3): 313–326.
   Web of Science ®Google Scholar
• Celano, G., P. Castagliola, S. Fichera, and E. Trovato. 2012. “The Economic Performance of the Shewhart t Chart.” Quality Reliability Engineering International 28 (2): 159–180.
   Web of Science ®Google Scholar
• Celano, G., P. Castagliola, S. Fichera, and E. Trovato. 2013. “Performance of t Control Charts in Short Runs with Unknown Shift Sizes.” Computers and Industrial Engineering 64 (1): 56–68.
   Web of Science ®Google Scholar
• Chakraborti, S., S. W. Human, and M. A. Graham. 2011. “Nonparametric (distribution-free) quality control charts.” In Handbook of Methods and Applications of Statistics: Engineering, Quality Control, and Physical Sciences, 298–329. New York: Wiley.
   Google Scholar
• Cox, Steven, John Garside, and Apostolos Kotsialos. 2013. “Simulation of High Precision Process Control for Set-up Dominant Processes.” Procedia CIRP. 2nd International Through-life Engineering Services Conference. Vol. 11, pp. 379–384.
   Google Scholar
• Cramer, H. 1946. Mathematical Statistics. Princeton University Press.
   Google Scholar
• Crowder, Stephen V. 1992. “An SPC Model for Short Production Runs: Minimizing Expected Cost.” Technometrics 34 (1): 64–73.
   Web of Science ®Google Scholar
• Del Castillo, E., and D. C. Montgomery. 1993. “Optimal Design of Control Charts for Monitoring Short Production Runs.” Economic Quality Control 8 (4): 225–240.
   Google Scholar
• Del Castillo, E., and D. C. Montgomery. 1996. “A General Model for the Optimal Economic Design of X Charts used to Control Short or Long Run Processes.” IIE Transactions 28 (3): 193–201.
   Web of Science ®Google Scholar
• Gao, J. 2011. “A Study of the t Chart for Short-run and Mixed Model Productions.” Advanced Materials Research 314–316: 2478–2481. doi:10.4028/www.scientific.net/AMR.314-316.2478.
   Google Scholar
• Graham, M. A., S. Chakraborti, and S. W. Human. 2011. “A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements.” Quality Engineering 23 (3): 227–241.
   Web of Science ®Google Scholar
• Gu, Kai, Xinzhang Jia, Hailong You, and Shihong Zhang. 2014. “A t-chart for Monitoring Multi-variety and Small Batch Production Run.” Quality and Reliability Engineering International 30 (2): 287–299.
   Web of Science ®Google Scholar
• Ladany, S. P. 1973. “Optimal Use of Control Charts for Controlling Current Production.” Management Science 19 (7): 763–772.
   Web of Science ®Google Scholar
• Ladany, S. P., and D. N. Bedi. 1976. “Selection of the Optimal Setup Policy.” Naval Research Logistics Quaterly 23 (2): 219–233.
   Google Scholar
• Li, Yan, and Xiaolong Pu. 2012. “On the Performance of Two-sided Control Charts for Short Production Runs.” Quality and Reliability Engineering International 28 (2): 215–232.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2013. Statistical Quality Control, A Modern Introduction. 7th ed. Wiley.
   Google Scholar
• Nenes, G., and G. Tagaras. 2006. “The Economically Designed CUSUM Chart for Monitoring Short Production Runs.” International Journal of Production Research 44 (8): 1569–1587.
   Web of Science ®Google Scholar
• Pillet, Maurice. 1996. “A Specific SPC Control Chart for Small-batch Control.” Quality Engineering 8 (4): 581–586.
   Google Scholar
• R Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org.
   Google Scholar
• Sitt, C. K., Michael B. C. Khoo, M. Shamsuzzaman, and Chung-Ho Chen. 2014. “The Run Sum t Control Chart for Monitoring Process Mean Changes in Manufacturing.” The International Journal of Advanced Manufacturing Technology 70 (5–8): 1487–1504. http://dx.doi.org/10.1007/s00170-013-5333-y.
   Web of Science ®Google Scholar
• Steiner, S. H. 1997. “Pre-control and Some Simple Alternatives.” Quality Engineering 10 (1): 65–74.
   Google Scholar
• Tagaras, G. 1996. “Dynamic Control Charts for Finite Production Runs.” European Journal of Operational Research 91 (1): 38–55.
   Web of Science ®Google Scholar
• Tagaras, G., and Y. Nikolaidis. 2002. “Comparing the Effectiveness of Various Bayesian X Control Charts.” Operations Research 50 (5): 878–888.
   Web of Science ®Google Scholar
• Weil, H. 1954. “The Distribution of Radial Error.” Annals of Mathematical Statistics 25: 168–170.
   Google Scholar