Free Access
RAIRO-Oper. Res.
Volume 27, Number 4, 1993
Page(s) 427 - 438
Published online 06 February 2017
  • 1. R. E. BARLOW and F. PROSCHAN, Mathematical Theory of Reliability, Wiley, New York, 1965 [MR: 195566] [Zbl: 0132.39302] [Google Scholar]
  • 2. D. N. P. MURTHY and D. G. NGUYEN, Study of two component system with failure interaction, Naval Res. Logist. Quart., 1985, 32, pp. 239-248. [MR: 785094] [Zbl: 0586.62158] [Google Scholar]
  • 3. D. N. P. MURTHY and R. T. CASEY, Optimal policy for a two component system with shock type failure interaction, Proc. of the 8th National Conference of Australian Operations Res. Soc, Melbourne, 1987, 8, pp. 161-172. [Google Scholar]
  • 4. T. NAKAGAWA, A summary of discrete replacement policies, European J . of Operational Res., 1984, 17, pp. 382-392. [MR: 763572] [Zbl: 0541.90046] [Google Scholar]
  • 5. T. NAKAGAWA and M. KOWADA, Analysis of a system with minimal repair and its application to replacement policy, European J. of Operational Res., 1983, 12, pp. 176-182. [Zbl: 0499.90034] [Google Scholar]
  • 6. K. W. PULLEN and M. U. THOMAS, Evaluation of opportunistic replacement policy for a two unit System, IEEE Trans. Reliability, 1986, R-35, pp. 320-324. [Zbl: 0607.90037] [Google Scholar]
  • 7. R. RADNER and D. W. JORGENSEN, Opportunistic replacement of a single part in the presence of several monitored parts, Management Science, 1963, 10, pp. 70-84. [Google Scholar]
  • 8. M. SHAKED and J. G. SHANTOKUMAR, Reliability and Maintainability, in Stochastic Models, D. P. HEYMAN and M. J. SOBEL Eds., 1990, North Holland, Amsterdam. [MR: 1100760] [Zbl: 0776.62078] [Google Scholar]
  • 9. S. YAMADA and S. OSAKI, Optimum replacement policies for a System composed of components, IEEE Trans. Reliability, 1981, R-30, pp. 278-283 [Zbl: 0461.90035] [Google Scholar]

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