Applying Forgotten Lessons in Field Reliability Data Analysis to Performance-Based Support Contracts

References

• Ascher, H. (1983a). Discussion of “point processes and renewal theory: A brief survey”. In J. K. Skwirzynski (Ed.), Electronic systems effectiveness and life cycle costing (pp. 113–117). Berlin Heidelberg, Germany: Springer-Verlag.
   Google Scholar
• Ascher, H. (1983b). Regression analysis of repairable systems reliability data. In J. K. Skwirzynski (Ed.), Electronic systems effectiveness and life cycle costing (pp. 119–133). Berlin Heidelberg, Germany: Springer-Verlag.
   Google Scholar
• Ascher, H. E. (1999). A set-of-numbers is NOT a data-set. IEEE Transactions on Reliability, 48(2), 135–140.
   Web of Science ®Google Scholar
• Aubin, B. R. (2004). Aircraft maintenance: The art and science of keeping aircraft safe. Warrendale, PA: SAE.
   Google Scholar
• Blanchard, B. S. (1992). Logistics engineering and management (4th ed.). Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bowman, R. A., & Schmee, J. (2001). Pricing and managing a maintenance contract for a fleet of aircraft engines. Simulation, 76(2), 69–77.
   Google Scholar
• Bumblauskas, D. (2015). A Markov decision process model case for optimal maintenance of serially dependent power system components. Journal of Quality in Maintenance Engineering, 21(3), 271–293
   Google Scholar
• Bumblauskas, D., Meeker, W., & Gemmill, D. (2012). Maintenance and recurrent event analysis of circuit breaker data. International Journal of Quality & Reliability Management, 29(5), 560–575.
   Google Scholar
• Busch, M. (2013). Thinking slow: Why many career A&Ps are not great trouble shooters. Sport Aviation, 62(10), 26–29.
   Google Scholar
• Cox, D. R. (1983). Point processes and renewal theory: A brief survey. In J. K. Skwirzynski (Ed.), Electronic systems effectiveness and life cycle costing (pp. 107–112). Berlin Heidelberg, Germany: Springer-Verlag.
   Google Scholar
• Crow, L. H. (1990). Evaluating the reliability of repairable systems. In Proceedings of the annual reliability and maintainability symposium (pp. 275–279). New York, NY: IEEE. Retrieved from http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=112
   Google Scholar
• D’Agostino, R. B., & Stephens, M. A. (1986). Goodness-of-fit techniques. New York, NY: Dekker.
   Google Scholar
• Delignette-Muller, M. L., & Dutang, C. (2012). Fitting parametric univariate distributions to non censored or censored data using the R fitdistrplus package. Retrieved from http://www.icesi.edu.co/CRAN/web/packages/fitdistrplus/vignettes/intro2fitdistrplus.pdf
   Google Scholar
• Dhillon, B. S. (2010). Life cycle costing for engineers. Boca Raton, FL: Taylor & Francis.
   Google Scholar
• Evans, R. A. (1995). Models models everywhere—And not a one to want. IEEE Transactions on Reliability, 44(4), 537.
   Web of Science ®Google Scholar
• Evans, R. A. (1999). Stupid statistics. IEEE Transactions on Reliability, 48(2), 105.
   Web of Science ®Google Scholar
• Flood, R. L., & Carson, E. R. (1988). Dealing with complexity: An introduction to the theory and application of systems science. New York, NY: Plenum Press.
   Google Scholar
• Ghosavi, A., Murray, S. L., Tirumalasetty, M. V., & Shewade, S. (2011). A budget-sensitive approach to scheduling maintenance in a total productive maintenance (TPM) program. Engineering Management Journal, 23(3), 46–56.
   Google Scholar
• Hauptmanns, U. (2011). Reliability data acquisition and evaluation in process plants. Journal of Loss Prevention in the Process Industries, 24(3), 266–273.
   Web of Science ®Google Scholar
• Held, M., & Fritz, K. (2009). Comparison and evaluation of newest failure rate prediction models: FIDES and RIAC 217Plus. Microelectronics Reliability, 49(9–11), 967–971.
   Web of Science ®Google Scholar
• Huang, X., Kreye, M. E., Parry, G., Goh, Y. M., & Newnes, L. B. (2013). The cost of service. In P. Sandborn (Ed.), Cost analysis of electronic systems (pp. 349–362). Singapore: World Scientific Publishing.
   Google Scholar
• Igba, J., Alemzadeh, K., Durugbo, C., & Henningsen, K. (2015). Performance assessment of wind turbine gearboxes using in-service data: Current approaches and future trends. Renewable and Sustainable Energy Reviews, 50, 144–159.
   Web of Science ®Google Scholar
• Jolly, S. S., & Singh, B. J. (2014). An approach to enhance availability of repairable systems: A case study of SPMs. International Journal of Quality & Reliability Management, 31(9), 1031–1051.
   Google Scholar
• Kleinbaum, D. G., & Klein, M. (2012). Survival Analysis: A self-learning text. New York, NY: Springer.
   Google Scholar
• Lewis, E. E. (1996). Introduction to reliability engineering (2nd ed.). New York, NY: Wiley.
   Google Scholar
• Lindqvist, H. B. (2008). Maintenance of repairable systems. In K. A. H. Kobbacy & D. N. P. Murthy (Eds.), Complex system maintenance handbook (pp. 235–261). London, UK: Springer.
   Google Scholar
• Lugtigheid, D., Jardine, A. K. S., & Jiang, X. (2007). Optimizing the performance of a repairable system under a maintenance and repair contract. Quality and Reliability Engineering International, 23(8), 943–960.
   Web of Science ®Google Scholar
• Makridakis, S. G., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). New York, NY: Wiley.
   Google Scholar
• Meeker, W. Q., & Escobar, L. A. (1998). Statistical methods for reliability data. New York, NY: Wiley.
   Google Scholar
• Newton, D. W. (1991). Some pitfalls in reliability data analysis. Reliability Engineering & System Safety, 34(1), 7–21.
   Web of Science ®Google Scholar
• Phillips, M. J. (2003). Statistical methods for reliability data analysis. In H. Pham (Ed.), Handbook of reliability engineering (pp. 475–492). London, UK: Springer.
   Google Scholar
• Rahman, A. (2014). Maintenance contract model for complex asset/equipment. International Journal of Reliability, Quality and Safety Engineering, 21(1), 1–11.
   Google Scholar
• R Development Core Team. (2012). R: A Language and Environment for Statistical Computing. Vienna, Austria. Retrieved from https://stat.ethz.ch/R-manual/R-devel/library/utils/html/citation.html
   Google Scholar
• Sandborn, P. (Ed.). (2013). Cost analysis of electronic systems. Singapore: World Scientific.
   Google Scholar
• Settanni, E., Newnes, L. B., Thenent, N. E., Bumblauskas, D., Parry, G., & Goh, Y. M. (2016). A case study in estimating avionics availability from field reliability data. Quality and Reliability Engineering International. In press. doi:10.1002/qre.1854
   Google Scholar
• Sikos, L., & Klemeš, J. (2010). Evaluation and assessment of reliability and availability software for securing an uninterrupted energy supply. Clean Technologies and Environmental Policy, 12(2), 137–146.
   Web of Science ®Google Scholar
• Sinisuka, N. I., Nugraha, H., & Cui, L.-R. (2013). Life cycle cost analysis on the operation of power generation. Journal of Quality in Maintenance Engineering, 19(1), 5–24.
   Google Scholar
• Smith, T. C. (2004). Reliability growth planning under performance based logistics. In Proceedings of the annual reliability and maintainability symposium (pp. 418–423). New York, NY: IEEE. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1285410
   Google Scholar
• Sols, A., Nowicki, D., & Verma, D. (2007). Defining the fundamental framework of an effective performance-based logistics (PBL) contract. Engineering Management Journal, 19(2), 40–50.
   Web of Science ®Google Scholar
• Tuttle, D. E., & Shwartz, M. N. (1979). Lower avionic temperature lower life cycle cost. In Proceedings of the annual reliability and maintainability symposium (pp. 332–337). New York, NY: IEEE. Retrieved from http://cul.worldcat.org/title/1979-proceedings-annual-reliability-and-maintainability-symposium-washington-dc-usa-1979-january-23-25/oclc/5746212
   Google Scholar
• Venables, W. N., & Ripley, B. D. (2007). Modern applied statistics with S (4th ed.). New York, NY: Springer.
   Google Scholar
• Waghmode, L., & Sahasrabudhe, A. (2012). Modelling maintenance and repair costs using stochastic point processes for life cycle costing of repairable systems. International Journal of Computer Integrated Manufacturing, 25(4–5), 353–367.
   Web of Science ®Google Scholar
• Walls, L. A., & Bendell, A. (1986). The structure and exploration of reliability field data: What to look for and how to analyse it. Reliability Engineering, 15(2), 115–143.
   Google Scholar
• Weckman, G. R., Marvel, J. H., & Shell, R. L. (2006). Decision support approach to fleet maintenance requirements in the aviation industry. Journal of Aircraft, 43(5), 1352–1360.
   Web of Science ®Google Scholar
• Wong, K. L., & Lindstrom, D. L. (1988). Off the bathtub onto the roller-coaster curve. In Proceedings of the annual reliability and maintainability symposium (pp. 356–363). New York, NY: IEEE. Retrieved from http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=721
   Google Scholar
• Wu, X., & Ryan, S. M. (2014). Joint optimization of asset and inventory management in a product–service system. The Engineering Economist, 59(2), 91–115.
   Web of Science ®Google Scholar
• Yellman, T. W. (1999). Failures and related topics. IEEE Transactions on Reliability, 48(1), 6–8.
   Web of Science ®Google Scholar