EconPapers    
Economics at your fingertips  
 

A Stochastic Model for an Optimal Priority Bed Distribution Problem in a Hospital Ward

Augustine O. Esogbue and Amar J. Singh
Additional contact information
Augustine O. Esogbue: Georgia Institute of Technology, Atlanta, Georgia
Amar J. Singh: Veterans Administration Hospital, Los Angeles, California

Operations Research, 1976, vol. 24, issue 5, 884-898

Abstract: Ward beds are a primary resource under the control of hospital management. We develop a method for determining an optimum distribution of beds in a ward by assuming that ward patients can be classified into two categories, that admissions follow Poisson distribution, and that length of stay in the ward follows the negative exponential distribution. After defining a cut-off level as “the number of beds beyond which type 2 (non-serious) patients are not admitted,” we develop a system of differential and difference (birth and death process) equations for the process. An objective function made up of shortage and holding costs is then developed and optimized for various values of cut-off priority level. An application of this model to a university teaching hospital in Cleveland is illustrated. The model is then extended to a situation where overflows are temporarily housed in a buffer accommodation or inappropriate ward.

Date: 1976
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.24.5.884 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:24:y:1976:i:5:p:884-898

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:24:y:1976:i:5:p:884-898