Masters Theses
Keywords and Phrases
Discret Event Simulation
Abstract
"The development of simulation models continues to provide effective solutions to a wide range of problems in healthcare systems. In the research presented within this thesis is the development of a representative and validated discrete event simulation model for the purpose of evaluating additional capacity. The study consists of a detailed exploratory analysis, verification and validation tests of the simulation results, and a thorough design of experiments. The exploratory analysis consisted of developing simulation models that provide similar characteristics found in the data. The design of experiments consisted of generating scenarios of various bed additions in the hospital units of care. The evaluation of the scenarios considered the characteristics of the queues in the different wards and demonstrate why DES has a substantial advantage in the ability to represent non-linear relationships.
The study used five years of real-world data containing information from 23,019 patients. The results show that certain units can benefit a reduction in waiting time by adding inpatient beds. Thus, decision makers can use the simulation to assess various changes and quantify benefits"--Abstract, page iii.
Advisor(s)
Guardiola, Ivan
Committee Member(s)
Cudney, Elizabeth A.
Qin, Ruwen
Department(s)
Engineering Management and Systems Engineering
Degree Name
M.S. in Engineering Management
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2016
Pagination
xi, 91 pages
Note about bibliography
Includes bibliographical references (pages 87-90).
Rights
© 2016 Tatiana Alejandra Cardona Sepulveda
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Discrete-time systems -- Simulation methodsHospital size -- Computer simulationHospital utilization -- Computer simulation
Thesis Number
T 11066
Electronic OCLC #
974715258
Recommended Citation
Cardona, Tatiana Alejandra, "Analysis of VA Sacramento Medical Center capacity using discrete event simulation" (2016). Masters Theses. 7593.
https://scholarsmine.mst.edu/masters_theses/7593