An overflow loss network model for capacity planning of a perinatal network

ASADUZZAMAN, Md and Chaussalet, Thierry (2011) An overflow loss network model for capacity planning of a perinatal network. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174 (2). pp. 403-417. ISSN 1467-985X

Preview

Text Asaduzzaman_etal_RSS_A_final_V.pdf Download (155kB) | Preview

Abstract or description

In this paper, a model framework is developed to solve capacity planning problems faced by many perinatal networks in the UK. We propose a loss network model with overflow based on a continuous-time Markov chain for a perinatal network with specific application to a network in London. We derive the steady state expressions for overflow and rejection probabilities for each neonatal unit of the network based on a decomposition approach. Results obtained from the model are very close to observed values. Using the model, decisions on number of cots can be made for specific level of admission acceptance probabilities for each level of care at each neonatal unit of the network and specific levels of overflow to temporary care.

Item Type:	Article
Faculty:	Previous Faculty of Computing, Engineering and Sciences > Engineering
Depositing User:	Md ASADUZZAMAN
Date Deposited:	11 Aug 2014 14:43
Last Modified:	24 Feb 2023 13:41
URI:	https://eprints.staffs.ac.uk/id/eprint/1933

Actions (login required)

View Item