Modelling patient choice in healthcare systems: development and application of a discrete event simulation with agent-based decision making

2012 ◽  
Vol 6 (2) ◽  
pp. 92-102 ◽  
Author(s):  
V A Knight ◽  
J E Williams ◽  
I Reynolds
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Healthcare Systems ◽  
Systems Development ◽  
Patient Choice ◽  
Agent Based ◽  
Event Simulation

scholarly journals Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques

2021 ◽  
Vol 11 (21) ◽  
pp. 10397
Author(s):  
Barry Ezell ◽  
Christopher J. Lynch ◽  
Patrick T. Hester
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Computational Models ◽  
State Of The Art ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Decision Makers ◽  
Agent Based ◽  
Event Simulation ◽  
Decision Making Processes

Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques that serve as options for reaching unique decisions based on personally and individually ranked criteria. These techniques are organized into a taxonomy of ratio assignment and approximate techniques, and the strengths and limitations of each are explored. We compare these techniques potential uses across the Agent-Based Modeling (ABM), System Dynamics (SD), and Discrete Event Simulation (DES) modeling paradigms to inform current researchers, students, and practitioners on the state-of-the-art and to enable new researchers to utilize methods for modeling multi-criteria decisions.

scholarly journals МОДИФІКАЦІЯ МЕТОДУ УРАХУВАННЯ РИЗИКІВ ПРОЕКТУ РОЗРОБКИ ТЕХНІЧНИХ СИСТЕМ

2019 ◽  
pp. 55-62
Author(s):  
Анастасія Дмитрівна Морікова ◽  
Ольга Костянтинівна Погудіна
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Aircraft Engine ◽  
Systems Development ◽  
Development Project ◽  
Project Planning ◽  
Data Matrix ◽  
Improved Method ◽  
Event Simulation ◽  
Technical Systems

Subject research paper is the development of technical systems. The aim is to improve the quality of planning the basic characteristics of technical systems development project. Objective is to analyze the works in the area of risk when planning projects, justified the choice of method of planning the main indicators of the project taking into account the uncertainties and risks, developed and tested method of accounting for risks of interference in the project of development of technical systems on the example of the development of an aircraft engine. Used theoretical methods are: the method of discrete-event simulation for obtaining histograms of cost and time of development of technical systems, the method of calculating the cumulative damage risk events, the model matrix representation as a mathematical device for the presentation and study of interference risks. We obtained the following results. Analysis of existing work and standards in the field of risk management, reviewed the existing information system of risk-based project simulation and variability of the project. On the basis of the detected restriction provides an improved method for the basic parameters of the project planning. The process of identification and the following categories of risk identified: the expectations, cost, appearance of additional work, return. Given the typology of interference risks formalized the concept of additivity, synergy and cannibalization (negative synergy). An information subsystem that preparesinput to project performance simulation taking into account the risks, where the use of the data matrix relationship likelihood of risks and interference effects manifestations of risk events. Developed information subsystem was tested on calculation Show cost and runtime stages of research works on the development of an aircraft engine. Scientific novelty of the results is as follows: improved method of discrete-event simulation account of technical systems development project risks by adding a formalization of interference risks.

Multi-Methodology Approach

2021 ◽  
pp. 98-128
Keyword(s):  
System Dynamics ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Multiple Methods ◽  
Soft Systems ◽  
Agent Based ◽  
Event Simulation ◽  
Pluralistic Approach ◽  
The Difference

The pluralistic approach in today's world needs combining multiple methods, whether hard or soft, into a multi-methodology intervention. The methodologies can be combined, sometimes from several different paradigms, including hard and soft, in the form of a multi-methodology so that the hard paradigms are positivistic and see the organizational environment as objective, while the nature of soft paradigms is interpretive. In this chapter, the combination of methodologies has been examined using soft systems methodologies (SSM) and simulation methodologies including discrete event simulation (DES), system dynamics (SD), and agent-based modeling (ABM). Also, using the ontological, epistemological, and methodological assumptions underlying the respective paradigms, the difference between SD, ABM, SSM; a synthesis of SSM and SD generally known as soft system dynamics methodology (SSDM); and a promising integration of SSM and ABM referred to as soft systems agent-based methodology (SSABM) have been proven.

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