Batch service systems with heterogeneous servers

van Ommeren J.-K.; Baer N.; Mishra N.; Roy D.

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25201

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DC Field	Value	Language
dc.contributor.author	van Ommeren J.-K.
dc.contributor.author	Baer N.
dc.contributor.author	Mishra N.
dc.contributor.author	Roy D.
dc.date.accessioned	2022-02-11T10:13:53Z	-
dc.date.available	2022-02-11T10:13:53Z	-
dc.date.issued	2020
dc.identifier.citation	van Ommeren, J. K., Baer, N., Mishra, N., & Roy, D. (2020). Batch service systems with heterogeneous servers. Queueing Systems, 95(3�. https://doi.org/10.1007/s11134-020-09654-y
dc.identifier.issn	2570130
dc.identifier.uri	https://www.doi.org/10.1007/s11134-020-09654-y
dc.identifier.uri	http://hdl.handle.net/11718/25201	-
dc.description.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. � 2020, The Author(s).
dc.description.sponsorship	University of Twente
dc.language.iso	en_US
dc.publisher	Springer
dc.relation.ispartof	Queueing Systems
dc.subject	Decomposition
dc.subject	Heterogeneous capacity
dc.subject	Threshold service
dc.title	Batch service systems with heterogeneous servers
dc.type	Article
dc.rights.license	CC BY
dc.contributor.affiliation	Stochastic Operations Research, University of Twente, Postbox 217, Enschede, 7500 AE, Netherlands
dc.contributor.affiliation	Center for Operations Research and Econometrics, UCLouvain, Louvain-la-Neuve, 1348, Belgium
dc.contributor.affiliation	Production and Quantitative Methods Area, Indian Institute of Management Ahmedabad, Ahmedabad, India
dc.contributor.institutionauthor	van Ommeren, J.-K., Stochastic Operations Research, University of Twente, Postbox 217, Enschede, 7500 AE, Netherlands
dc.contributor.institutionauthor	Baer, N., Stochastic Operations Research, University of Twente, Postbox 217, Enschede, 7500 AE, Netherlands
dc.contributor.institutionauthor	Mishra, N., Center for Operations Research and Econometrics, UCLouvain, Louvain-la-Neuve, 1348, Belgium
dc.contributor.institutionauthor	Roy, D., Production and Quantitative Methods Area, Indian Institute of Management Ahmedabad, Ahmedabad, India
dc.description.scopusid	23398881500
dc.description.scopusid	56245332300
dc.description.scopusid	57193760358
dc.description.scopusid	25522771400
dc.identifier.doi	10.1007/s11134-020-09654-y
dc.identifier.endpage	269
dc.identifier.startpage	251
dc.identifier.issue	03-Apr
dc.identifier.volume	95
Appears in Collections:	Open Access Journal Articles

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