Search

We consider an M/M/1 retrial queue subject to negative customers (called as G-retrial queue). The arrival of a negative customer forces all positive customers to leave the system and causes the server to fail. At a failure instant, the server is sent to be repaired immediately. Based on a natural reward-cost structure, all arriving positive customers decide whether to join the orbit or balk when they find the server is busy. All positive customers are selfish and want to maximize their own net benefit. Therefore, this system can be modeled as a symmetric noncooperative game among positive customers and the fundamental problem is to identify the Nash equilibrium balking strategy, which is a stable strategy in the sense that if all positive customers agree to follow it no one can benefit by deviating from it, that is, it is a strategy that is the best response against itself. In this paper, by using queueing theory and game theory, the Nash equilibrium mixed strategy in unobservable case and the Nash equilibrium pure strategy in observable case are considered. We also present some numerical examples to demonstrate the effect of the information together with some parameters on the equilibrium behaviors. [ABSTRACT FROM AUTHOR]

The reliability of the products need to test because many products require the index of reliability in daily life. The geometric distribution has an important application in testing the life of products, so the analysis of the reliability of geometric distribution is valuable both in theory and practical. In this paper, the confidence limit of the reliability of the geometric distribution is discussed by k factor, the expression of the confidence limit is obtained under the historical data and lack of historical data of the products. The result with the matlab programming is simpler and preciser than traditional method. [ABSTRACT FROM AUTHOR]