An Application of Graph Theory in Markov Chains Reliability Analysis
The paper presents reliability analysis which was realized for an industrial company. The aim of the paper is to present the usage of discrete time Markov chains and the flow in network approach. Discrete Markov chains a well-known method of stochastic modelling describes the issue. The method is su...
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| Format: | Article |
| Language: | English |
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VSB-Technical University of Ostrava
2014-01-01
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| Series: | Advances in Electrical and Electronic Engineering |
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| Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/1037 |
| Summary: | The paper presents reliability analysis which was realized for an industrial company. The aim of the paper is to present the usage of discrete time Markov chains and the flow in network approach. Discrete Markov chains a well-known method of stochastic modelling describes the issue. The method is suitable for many systems occurring in practice where we can easily distinguish various amount of states. Markov chains are used to describe transitions between the states of the process. The industrial process is described as a graph network. The maximal flow in the network corresponds to the production. The Ford-Fulkerson algorithm is used to quantify the production for each state. The combination of both methods are utilized to quantify the expected value of the amount of manufactured products for the given time period. |
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| ISSN: | 1336-1376 1804-3119 |