Studies On Monte Carlo Method For Estimating Reliability Of etwork
碩士 === 國立清華大學 === 工業工程研究所 === 81 === Most literatures study system reliability by using binary -state models, i.e. the system and it's components flucturate between ``functioning'' and ``failed''.Recently, basic theory...
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| Format: | Others |
| Language: | en_US |
| Published: |
1993
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| Online Access: | http://ndltd.ncl.edu.tw/handle/60773912126240883667 |
| Summary: | 碩士 === 國立清華大學 === 工業工程研究所 === 81 === Most literatures study system reliability by using binary
-state models, i.e. the system and it's components flucturate
between ``functioning'' and ``failed''.Recently, basic theory
for the multi-state models or multi-state systems of
multistate components has been being developed. Flow networks
with discrete , integer-valued capacities for each components(
arcs) are one typical class of such multi-state model. How to
measure the reliability that the flow network system can
transimit at least a given units of flow from the source node
to the sink node successfully and how to measure the
importance of each component to the system thus attract recent
attention.Another question of considerable interest is how to
find out which components are most crucial to the proper
functioning of the system by using the notation of component
importance measure. This paper first presents a Monte Carlo
method which uses the stratified sampling method to estimte
the reliability of such a flow network. This method is
efficient whenever compared to the crude Monte Carlo method.
Also, it proposes the CRN method to estimate one of the
component importance measures. This method is efficient
whenever compared to the crude Monte Carlo method.
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