Yanqing Wen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yanqing Wen has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
Baoliang Liu
College of Mathematics and Statistics, Shanxi Datong University, Datong, Shanxi, China
1 shared publication- Baoliang Liu
College of Mathematics and Statistics, Shanxi Datong University, Datong 037009, China
1 shared publication - Haiyan Shi
College of Mathematics and Statistics Science, Shanxi Datong University, Datong 037009, China
1 shared publication Qingan Qiu
School of Management & Economics, Beijing Institute of Technology, Beijing, China
1 shared publicationShugui Kang
College of Mathematics and Statistics, Shanxi Datong University, Datong, Shanxi, China
1 shared publication- Shugui Kang
School of Mathematics and Statistics, Shanxi Datong University, Datong 037009, China
1 shared publication
Latest Publications
- Open Access
Reliability Evaluation and Optimization of a System with Mixed Run Shock
In this paper, we investigate a wear and mixed shock model in which the system can fail due to internal aging or external shocks. The lifetime of the system, due to internal wear, follows continuous phase-type (PH) distributions. The external random shocks arrive at the system according to a PH renewal process. The system will fail when the internal failure occurs or consecutive external shocks, the size of at least or consecutive external shocks the size of at least occur, where , . The failed system can be repaired immediately, and the repair times of the system are governed by continuous PH distributions. The system can be replaced by a new and identical one based on a bivariate replacement policy . The long-run average profit rate for the system is obtained by employing the closure property of the PH distribution. Finally, a numerical example is also given to determine the optimal replacement policy.Open AccessReliability Evaluation and Optimization of a System with Mixed Run Shock
In this paper, we investigate a wear and mixed shock model in which the system can fail due to internal aging or external shocks. The lifetime of the system, due to internal wear, follows continuous phase-type (PH) distributions. The external random shocks arrive at the system according to a PH renewal process. The system will fail when the internal failure occurs or consecutive external shocks, the size of at least or consecutive external shocks the size of at least occur, where , . The failed system can be repaired immediately, and the repair times of the system are governed by continuous PH distributions. The system can be replaced by a new and identical one based on a bivariate replacement policy . The long-run average profit rate for the system is obtained by employing the closure property of the PH distribution. Finally, a numerical example is also given to determine the optimal replacement policy. - 2 August 2020
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 49 (15) , 3609-3634
A multiple warm standby repairable system under -policy with multiple vacations following Markovian arrival process
The paper considers a warm standby -unit system under -policy with one repairman taking multiple vacations. The system is operational as long as one of the units is normal. The online unit is subject to internal failures and external shocks. The lifetime of the online unit due to an internal failure follows a phase-type (PH) distribution. The inter-arrival time of shocks and the random amount of shock damage are governed by other two different PH distributions, respectively. When the damage of a shock is larger than the given threshold, the online unit is considered to be failed. Standby units are subject to shocks from a different cause, which are governed by a Markovian arrival process (MAP). A repairman who can take multiple vacations repairs the failed units based on the -policy. The successive repair times and the successive vacation times of the repairman are governed by other two different MAPs, respectively. In this paper, first, a Markov process is constructed to describe the warm standby -unit system. Then the system is studied in a transient and stationary regime using matrix-analytical approaches. Finally, two numerical applications are given to illustrate the results obtained in the paper.
- 2 August 2020
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 49 (15) , 3609-3634
A multiple warm standby repairable system under -policy with multiple vacations following Markovian arrival process
The paper considers a warm standby -unit system under -policy with one repairman taking multiple vacations. The system is operational as long as one of the units is normal. The online unit is subject to internal failures and external shocks. The lifetime of the online unit due to an internal failure follows a phase-type (PH) distribution. The inter-arrival time of shocks and the random amount of shock damage are governed by other two different PH distributions, respectively. When the damage of a shock is larger than the given threshold, the online unit is considered to be failed. Standby units are subject to shocks from a different cause, which are governed by a Markovian arrival process (MAP). A repairman who can take multiple vacations repairs the failed units based on the -policy. The successive repair times and the successive vacation times of the repairman are governed by other two different MAPs, respectively. In this paper, first, a Markov process is constructed to describe the warm standby -unit system. Then the system is studied in a transient and stationary regime using matrix-analytical approaches. Finally, two numerical applications are given to illustrate the results obtained in the paper.