Title

Capacity allocation in a service system : parametric and data-driven approaches

Document Type

Conference paper

Source Publication

Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management : Ergonomics and Design, 8th International Conference, DHM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I

Publication Date

1-1-2017

First Page

295

Last Page

307

Publisher

Springer Verlag

Keywords

Effective bandwidth, Queueing, Sample average approximation

Abstract

We study the capacity allocation problem for a service system that serves its customers with a deterministic service time under a service level requirement. The service level is measured by the probability of customers waiting longer than a pre-specified duration. We model the system as an M/D/1 or a G/D/1 queue and examine two approaches to determining the capacity: a parametric approach based on the effective bandwidth theory and a data-driven approach based on the sample average approximation. We conduct a numerical study to investigate the effectiveness of these two approaches, and find that the data-driven approach is more streamlined, accurate, and widely applicable.

DOI

10.1007/978-3-319-58463-8_25

Print ISSN

03029743

E-ISSN

16113349

Funding Information

This study is supported in part by Hong Kong RGC under grant TBRS T32-102/14N. {TBRS T32-102/14N}

Publisher Statement

Copyright © Springer International Publishing AG 2017. Access to external full text or publisher's version may require subscription.

Additional Information

Paper presented at the 8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management (DHM 2017), held as part of 19th International Conference on Human-Computer Interaction (HCI 2017), 9-14 July 2017, Vancouver, British Columbia, Canada.

ISBN of the source publication: 9783319584621

Full-text Version

Publisher’s Version

Language

English

Recommended Citation

Liang, L., Xiao, G., & Ye, H. (2017). Capacity allocation in a service system: Parametric and data-driven approaches. In V. G. Duffy (Ed.), Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design, 8th International Conference, DHM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I (pp. 295-307). Germany: Springer Verlag. doi: 10.1007/978-3-319-58463-8_25

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