Review of modelling approaches for healthcare simulation
Journal Title: Operations Research and Decisions - Year 2016, Vol 26, Issue 1
Abstract
The goal of this paper is to present a summary of various simulation methods applied to health services and to discuss several internal and external determinants for selecting a particular simulation method to study a given managerial problem within the healthcare system. The analysis presented is based on a literature survey and considers four primary simulation techniques: Monte Carlo, discrete- -event simulation, agent-based simulation and system dynamics. A range of internal and external fac-tors are reviewed and characterised to determine the most suitable simulation technique for addressing a particular healthcare decision problem.
Authors and Affiliations
Bożena MIELCZAREK
Keywords
Related Articles
- EP ID EP323613
- DOI -
- Views 54
- Downloads 0
Power on digraphs
It is assumed that relations between n players are represented by a directed graph or digraph. Such a digraph is called invariant if there is a link (arc) between any two players between whom there is also a directed pat...
Analysis of complex decision problems based on cumulative prospect theory
Complex risky decision problems involve sequences of decisions and random events. The choice at a given stage depends on the decisions taken in the previous stages, as well as on the realizations of the random events tha...
Verification of a model as a scientific tool of operations research – a methodological approach
The aim of the research presented in this paper was to solve one of the fundamental problems of modelling and simulation, i.e., verification of a model as a scientific tool of operations research. To attack this problem,...
An analysis of maintenance schedules for public facilities
We present a flexible, formal framework for maintenance scheduling for public facilities. Key features of the model include an accelerating deterioration scheme, a general utility measure, and real estate market effects...
Determining models of influence
We consider a model of opinion formation based on aggregation functions. Each player modifies his opinion by arbitrarily aggregating the current opinion of all players. A player is influential on another player if the op...