Batch service systems with heterogeneous servers
Jan-Kees Ommeren (),
Niek Baer (),
Nishant Mishra () and
Debjit Roy ()
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Jan-Kees Ommeren: University of Twente
Niek Baer: University of Twente
Nishant Mishra: Center for Operations Research and Econometrics, UCLouvain
Debjit Roy: Indian Institute of Management Ahmedabad
Queueing Systems: Theory and Applications, 2020, vol. 95, issue 3, No 3, 269 pages
Abstract:
Abstract Bulk-service multi-server queues with heterogeneous server capacity and thresholds are commonly seen in several situations such as passenger transport or package delivery services. In this paper, we develop a novel decomposition-based solution approach for such queues using arguments from renewal theory. We then obtain the distribution of the waiting time measure for multi-type server systems. We also obtain other useful performance measures such as utilization, expected throughput time, and expected queue lengths.
Keywords: Heterogeneous capacity; Threshold service; Decomposition; 60K25; 90B22 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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DOI: 10.1007/s11134-020-09654-y
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