Home > Research > Publications & Outputs > Staffing of time-varying queues using a geometr...

Research

Associated organisational units

Links

Text available via DOI:

Keywords

View graph of relations

Staffing of time-varying queues using a geometric discrete time modelling approach

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Staffing of time-varying queues using a geometric discrete time modelling approach. / Chen, Xi; Worthington, David John.
In: Annals of Operations Research, Vol. 252, No. 1, 05.2017, p. 63-84.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chen, X & Worthington, DJ 2017, 'Staffing of time-varying queues using a geometric discrete time modelling approach', Annals of Operations Research, vol. 252, no. 1, pp. 63-84. https://doi.org/10.1007/s10479-015-2058-3

APA

Chen, X., & Worthington, D. J. (2017). Staffing of time-varying queues using a geometric discrete time modelling approach. Annals of Operations Research, 252(1), 63-84. https://doi.org/10.1007/s10479-015-2058-3

Vancouver

Chen X, Worthington DJ. Staffing of time-varying queues using a geometric discrete time modelling approach. Annals of Operations Research. 2017 May;252(1):63-84. Epub 2015 Nov 23. doi: 10.1007/s10479-015-2058-3

Author

Chen, Xi ; Worthington, David John. / Staffing of time-varying queues using a geometric discrete time modelling approach. In: Annals of Operations Research. 2017 ; Vol. 252, No. 1. pp. 63-84.

Bibtex

@article{a26a4a5e44604052a3109379c0335fa2,
title = "Staffing of time-varying queues using a geometric discrete time modelling approach",
abstract = "Many queueing systems with time-dependent arrivals require time-dependent staffing to provide satisfactory service levels at reasonable cost. Feldman et al. (Manag Sci 54(2):324–338, 2008) proposed an iterative staffing algorithm designed to deliver time-stable performance in which successive iterations were evaluated via simulation experiments. In this paper we present and evaluate an analytical queueing model combined with an iterative staffing algorithm to be used for setting staffing levels to achieve time-stable performance in call centre type queues. Empirical results show that the method to be considerably faster than simulation based methods and considerably more accurate than the industry standard analytical methods.",
keywords = "Time-dependent analysis, Multi-server queues, Discrete time modelling, Call centre staffing",
author = "Xi Chen and Worthington, {David John}",
year = "2017",
month = may,
doi = "10.1007/s10479-015-2058-3",
language = "English",
volume = "252",
pages = "63--84",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - Staffing of time-varying queues using a geometric discrete time modelling approach

AU - Chen, Xi

AU - Worthington, David John

PY - 2017/5

Y1 - 2017/5

N2 - Many queueing systems with time-dependent arrivals require time-dependent staffing to provide satisfactory service levels at reasonable cost. Feldman et al. (Manag Sci 54(2):324–338, 2008) proposed an iterative staffing algorithm designed to deliver time-stable performance in which successive iterations were evaluated via simulation experiments. In this paper we present and evaluate an analytical queueing model combined with an iterative staffing algorithm to be used for setting staffing levels to achieve time-stable performance in call centre type queues. Empirical results show that the method to be considerably faster than simulation based methods and considerably more accurate than the industry standard analytical methods.

AB - Many queueing systems with time-dependent arrivals require time-dependent staffing to provide satisfactory service levels at reasonable cost. Feldman et al. (Manag Sci 54(2):324–338, 2008) proposed an iterative staffing algorithm designed to deliver time-stable performance in which successive iterations were evaluated via simulation experiments. In this paper we present and evaluate an analytical queueing model combined with an iterative staffing algorithm to be used for setting staffing levels to achieve time-stable performance in call centre type queues. Empirical results show that the method to be considerably faster than simulation based methods and considerably more accurate than the industry standard analytical methods.

KW - Time-dependent analysis

KW - Multi-server queues

KW - Discrete time modelling

KW - Call centre staffing

U2 - 10.1007/s10479-015-2058-3

DO - 10.1007/s10479-015-2058-3

M3 - Journal article

VL - 252

SP - 63

EP - 84

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

IS - 1

ER -