Abstract
In both hardware and software engineering, the reliability of systems improve
over the Test, Analyse and Fix (TAAF) cycle as reliability tasks are performed
and faults are designed out of the system. There are many possible tasks which could be carried out and a large numbers of sequences of these tasks possible. In this paper we consider the sequencing problem, taking into account the fact that the testing will be stopped once a reliability target is reached. We solve the problem by maximising the expectation of a two attribute utility function over cost and time on test. All marginal utilities are set to be risk averse. A reliability growth model based on the underlying engineering process is used. The method is illustrated with an example grounded in work with the aerospace industry.
over the Test, Analyse and Fix (TAAF) cycle as reliability tasks are performed
and faults are designed out of the system. There are many possible tasks which could be carried out and a large numbers of sequences of these tasks possible. In this paper we consider the sequencing problem, taking into account the fact that the testing will be stopped once a reliability target is reached. We solve the problem by maximising the expectation of a two attribute utility function over cost and time on test. All marginal utilities are set to be risk averse. A reliability growth model based on the underlying engineering process is used. The method is illustrated with an example grounded in work with the aerospace industry.
| Original language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - 2015 |
| Event | MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability - Tokyo, Japan Duration: 1 Jun 2015 → 4 Jun 2015 |
Conference
| Conference | MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 1/06/15 → 4/06/15 |
Keywords
- reliability growth
- utility
- sequencing
- Bayesian