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Optimal Replacement Policy Based on the Number of Down Times

Author

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  • Hanagal David D.

    (Department of Statistics, University of Pune, Pune-411007, India. E-mail: david_hanagal@yahoo.co.in)

  • Kanade Rupali A.

    (Department of Statistics, University of Pune, Pune-411007, India. E-mail: kanade_rupa@rediffmail.com)

Abstract

In this paper a cold standby system consisting of two identical components (first component in working state and second one in the cold standby state) and one repairman is studied. A replacement policy is considered which is based on the number of down times in a renewal cycle. The problem is to determine an optimal policy with respect to the the long run reward per unit time. An explicit expression of the long run reward per unit time is derived and illustrated by a numerical example.

Suggested Citation

  • Hanagal David D. & Kanade Rupali A., 2010. "Optimal Replacement Policy Based on the Number of Down Times," Stochastics and Quality Control, De Gruyter, vol. 25(1), pages 3-12, January.
    • Handle: RePEc:bpj:ecqcon:v:25:y:2010:i:1:p:3-12:n:2
    DOI: 10.1515/eqc.2010.001
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    References listed on IDEAS

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    1. Zhang, Yuan Lin & Wang, Guan Jun, 2007. "A deteriorating cold standby repairable system with priority in use," European Journal of Operational Research, Elsevier, vol. 183(1), pages 278-295, November.
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    1. Hanagal David D. & Kanade Rupali A., 2010. "Optimal Replacement Policy Based on the Number of Down Times with Priority in Use," Stochastics and Quality Control, De Gruyter, vol. 25(2), pages 243-251, January.

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