Abstract
The reliability of products and processes will become increasing important in the near future. One definition of reliability is “quality over time.” Customers increasing will make their purchasing decisions on how long they can expect their products and processes to deliver high quality results. As a result, there will be increasing demands for manufacturers to design appropriate experiments to improve reliability. This paper begins with a review of the current practice for planning reliability experiments. It then reviews some recent work that takes into proper account the experimental protocol. A basic issue is that most reliability engineers have little training in planning experiments while most experimental design experts have little background in reliability data.
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References
Freeman, L. J. (2010). Statistical methods for reliability data from designed experiments. Unpublished Ph.D. dissertation, Virginia Tech, Department of Statistics.
Freeman, L. J., & Vining, G. G. (2010). Reliability data analysis for life test experiments with subsampling. Journal of Quality Technology, 42(3), 233–241.
Freeman, L. J., & Vining, G. G. (2013). Reliability data analysis for life test designed experiments with subsampling. Quality and Reliability Engineering International, 29, 509–519.
Kensler, J. L. K. (2012). Analyzing reliability experiments with random blocks and subsampling. Unpublished Ph.D. dissertation, Virginia Tech, Department of Statistics.
Kensler, J. L. K., Freeman, L. J., & Vining, G. G. (2014). A practitioner’s guide to analyzing reliability experiments with random blocks and subsampling. Quality Engineering, 26(3), 359–369.
Meeker, W. Q., & Escobar, L. A. (1998). Statistical methods for reliability data. Hoboken, NJ: Wiley.
Montgomery, D. C. (2005). Design and analysis of experiments. Hoboken, NJ: Wiley.
Pinheiro, J. C., & Bates, D. M. (1995). Approximations to the log-likelihood function in the nonlinear mixed-effects model. Journal of Computational and Graphical Statistics, 4(1), 12–35.
Zelen, M. (1959). Factorial experiments in life testing. Technometrics, 1(3), 269–288.
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Vining, G.G., Freeman, L.J., Kensler, J.L.K. (2015). An Overview of Designing Experiments for Reliability Data. In: Knoth, S., Schmid, W. (eds) Frontiers in Statistical Quality Control 11. Frontiers in Statistical Quality Control. Springer, Cham. https://doi.org/10.1007/978-3-319-12355-4_19
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DOI: https://doi.org/10.1007/978-3-319-12355-4_19
Publisher Name: Springer, Cham
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