Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/on-optimal-operating-conditions-for-a-data-processing-system-a-RBy5dNKcCr
References (7)
-
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
- Publisher
- Wiley
- Copyright
- Copyright © 2007 John Wiley & Sons, Ltd.
- ISSN
- 1524-1904
- eISSN
- 1526-4025
- DOI
- 10.1002/asmb.691
- Publisher site
- See Article on Publisher Site
Abstract
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.
Journal
Applied Stochastic Models in Business and Industry – Wiley
Published: Jan 1, 2008