DocumentCode :
2926035
Title :
Modeling maintenance-strategies with rainbow nets
Author :
Johnson, Allen M., Jr. ; Schoenfelder, Michael A. ; Lebold, David
Author_Institution :
RAS Group Inc., Austin, TX, USA
fYear :
1992
fDate :
21-23 Jan 1992
Firstpage :
449
Lastpage :
455
Abstract :
The Rainbow net (RN) modeling technique offers a promising alternative to traditional reliability modeling techniques. RNs are evaluated through discrete event simulation. Using specialized tokens to represent systems and faults, an RN models the fault-handling behavior of an inventory of systems produced over time. In addition, a portion of the RN represents system repair and the vendor´s spare part production. Various dependability parameters are measured and used to calculate the impact of four variations of maintenance strategies. Input variables are chosen to demonstrate the technique. The number of inputs allowed to vary is intentionally constrained to limit the volume of data presented and to avoid overloading the reader with complexity. If only availability data were reviewed, it is possible that the conclusion might be drawn that both strategies are about the same and therefore the cheaper strategy from the vendor´s perspective may be chosen. The richer set of metrics provided by the RN simulation gives greater insight into the problem, which leads to better decisions. By using RNs, the impact of several different variables is integrated
Keywords :
fault tolerant computing; maintenance engineering; availability data; discrete event simulation; fault-handling behavior; maintenance strategy modeling; rainbow nets; spare part production; system repair; Degradation; Discrete event simulation; Economic forecasting; Explosions; Input variables; Job shop scheduling; Maintenance; Manufacturing; Predictive models; Production systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium, 1992. Proceedings., Annual
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-0521-3
Type :
conf
DOI :
10.1109/ARMS.1992.187863
Filename :
187863
Link To Document :
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