loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. Al-Foraih ; P. Johnson ; G. Evatt and P. Duck

Affiliation: University of Manchester, United Kingdom

Keyword(s): Workforce Staffing, Stochastic Models, Time-Varying Queues, Network Queues.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Network Optimization ; Operational Research ; Optimization ; OR in Transportation ; Pattern Recognition ; Queuing Theory ; Software Engineering ; Stochastic Processes ; Symbolic Systems

Abstract: Private sector operators of response services such as ambulance, fire or police etc. are often regulated by targets on the distribution of response times. This may result in inefficient overstaffing to ensure those targets are met. In this paper, we use a network chain of M=M=K queues to model the arrival and completion of jobs on the system so that quantities such as the expected total time waiting for all jobs can be calculated. The Markov nature enables us to evoke the Hamilton Jacobi Bellman equation (HJB) principle to optimize the required number of staff whilst still meeting targets.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.135.190.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Al-Foraih, M.; Johnson, P.; Evatt, G. and Duck, P. (2013). Optimal Staffing Policy - A Service System with Stochastic Travel Times. In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-8565-40-2; ISSN 2184-4372, SciTePress, pages 258-263. DOI: 10.5220/0004276902580263

@conference{icores13,
author={M. Al{-}Foraih. and P. Johnson. and G. Evatt. and P. Duck.},
title={Optimal Staffing Policy - A Service System with Stochastic Travel Times},
booktitle={Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES},
year={2013},
pages={258-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004276902580263},
isbn={978-989-8565-40-2},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES
TI - Optimal Staffing Policy - A Service System with Stochastic Travel Times
SN - 978-989-8565-40-2
IS - 2184-4372
AU - Al-Foraih, M.
AU - Johnson, P.
AU - Evatt, G.
AU - Duck, P.
PY - 2013
SP - 258
EP - 263
DO - 10.5220/0004276902580263
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic