Bi-objective optimization of a queueing model with two-phase heterogeneous service

•We consider an M/M/(1 + c) queueing system with two-phase heterogeneous service.•The stability condition is derived using the matrix-geometric method.•We obtain the stationary distribution of the system size.•Sensitivity analysis of system performance measures is conducted.•We outline the single-ob...

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Veröffentlicht in:	Computers & operations research Jg. 130; S. 105230
Hauptverfasser:	Wu, Chia-Huang, Yang, Dong-Yuh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.06.2021 Pergamon Press Inc
Schlagworte:	Algorithms Bi-objective optimization Canonical particle swarm optimization algorithm Checkout Cost function Customer services Customers Epsilon-constraint algorithm Operating costs Operations research Optimization Particle swarm optimization Queuing theory Retail stores Two-phase heterogeneous service Canonical particle swarm optimization algorithm Epsilon-constraint algorithm Bi-objective optimization Two-phase heterogeneous service
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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