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Mi Mi (1994)
Burn‐in and maintenance policiesAdvances in Applied Probability, 26
Cha Cha (2004)
A note on the upper bound for the optimal work sizeJournal of Applied Probability, 41
Cha Cha, Mi Mi (2005)
Bounds to optimal burn‐in and optimal work sizeApplied Stochastic Models in Business and Industry, 21
Cha Cha (2001)
Burn‐in procedures for a generalized modelJournal of Applied Probability, 38
Kuo Kuo, Kuo Kuo (1983)
Facing the headaches of early failures: a state‐of‐the‐art review of burn‐in decisionsProceedings of the IEEE, 71
Cha Cha (2000)
On a better burn‐in procedureJournal of Applied Probability, 37
Mi Mi (2002)
Age‐replacement policy and optimal work sizeJournal of Applied Probability, 39
In this paper, we consider the problem of determining optimal operating conditions for a data processing system. The system is burned‐in for a fixed burn‐in time before it is put into field operation and, in field operation, it has a work size and follows an age‐replacement policy. Assuming that the underlying lifetime distribution of the system has a bathtub‐shaped failure rate function, the properties of optimal burn‐in time, optimal work size and optimal age‐replacement policy will be derived. It can be seen that this model is a generalization of those considered in the previous works, and it yields a better optimal operating conditions. This paper presents an analytical method for three‐dimensional optimization problem. An algorithm for determining optimal operating conditions is also given. Copyright © 2007 John Wiley & Sons, Ltd.
Applied Stochastic Models in Business and Industry – Wiley
Published: Jan 1, 2008
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