Modelling and optimisation of a two-server queue with multiple vacations and working breakdowns
This paper presents a steady-state analysis of an M/M/2 queue with heterogeneous servers (Server 1 and Server 2). Server 1 is reliable and may leave for a vacation when the system becomes empty. Sever 2 is unreliable and may break down while serving customers. When a breakdown occurs, Server 2 reduc...
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          | Published in | International journal of production research Vol. 58; no. 10; pp. 3036 - 3048 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        London
          Taylor & Francis
    
        18.05.2020
     Taylor & Francis LLC  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0020-7543 1366-588X  | 
| DOI | 10.1080/00207543.2019.1624856 | 
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| Summary: | This paper presents a steady-state analysis of an M/M/2 queue with heterogeneous servers (Server 1 and Server 2). Server 1 is reliable and may leave for a vacation when the system becomes empty. Sever 2 is unreliable and may break down while serving customers. When a breakdown occurs, Server 2 reduces the service rate rather than halting service. We formulate this queueing model as a quasi birth-and-death (QBD) process, using the matrix geometric method to compute the stationary distribution of system size. We also develop several measures to evaluate the performance of the system. A cost model based on system performance measures is formulated as a heuristic cost optimisation problem subject to stability conditions. A canonical particle swarm optimisation algorithm is used to obtain numerical solutions for the approximate optimal service rates of Server 1 and Server 2. Moreover, we present numerical results showing the effects of various parameters on the approximate optimal service rates as well as a practical example illustrating the application of the proposed model. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
| ISSN: | 0020-7543 1366-588X  | 
| DOI: | 10.1080/00207543.2019.1624856 |