Markov chains: Theory and model for a hospital ward

Date of Publication

1984

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Applied Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Abstract/Summary

A Markov process is a stochastic process for which it is possible to deduce the future development of the process from the knowledge of the present state. As such, it is useful in decicion making involving various operational aspects of an organization such as production, service and maintenance. In this study, the authors illustrate the use of the theory of Markov chains in the bed occupancy problem faced by Jose Fabella Memorial Hospital. A Markov chain model is developed to provide bed occupancy statistics such as the rate of bed occupancy, expected number of beds occupied, variability of the distribution and the probability of going over the bed capacity.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU05751

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

130 leaves

Keywords

Markov chains; Hospital wards--Mathematical models

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