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What is Discrete Event Simulation

Chapter 12
Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
A simulation based form of modelling in which patterns of events in the problem are recreated so that the timing and resource implications can be examined. The events generated usually include the arrival and departure of entities from the system or one of its sub processes. Timing and quantities in the model are typically generated by implementing appropriate stochastic distributions. Law & Kelton (2000) provides a comprehensive introduction to this form of modelling.
Published in Chapter:
Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling
Kirandeep Chahal (Brunel University, UK), Herbert Dalby (Brunel University, UK), Tillal Eldabi (Brunel University, UK), and Ray J. Paul (Brunel University, UK)
Copyright: © 2010 |Pages: 15
DOI: 10.4018/978-1-60566-030-1.ch012
Abstract
Healthcare organisations increasingly use simulation and modelling techniques to analyse their procedures and policies. Modelling activities attempt to help meet the challenges, constraints and requirements for efficiency encountered in the modern healthcare environment. A variety of techniques are used, often applied in different roles and by different functions in the organisation. Recent research has investigated the benefits of considering multiple approaches in the analysis of problems. This chapter briefly introduces the use of simulation and modelling in healthcare and the factors driving the increasingly widespread use of these techniques. Simple examples show how individual methods may be applied to model healthcare problems. The recent emergence of multi method approaches to modelling is examined and, focusing specifically on healthcare, examples of how these new ideas may also be applied in healthcare modelling are presented. Finally the challenges to implementing such new approaches effectively in a healthcare environment are discussed.
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More Results
Chapter 35
Dynamic System Simulation for Decision Support
A simulation methodology in which events cause the state of the system to change at specific points in time.
Published in Chapter: Dynamic System Simulation for Decision Support; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 131
Management Science for Healthcare Applications
One of the most powerful methodologies for using computer models of the real systems to analyze their performance by tracking system changes (events) at discrete points in time.
Published in Chapter: Management Science for Healthcare Applications; From: Encyclopedia of Business Analytics and Optimization
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Chapter 18
Fast Track to Reduce Patient Lead Time: A Discrete Event Simulation Analysis
A model that set of assumptions about how a system works, to try to gain some understanding of how the system behaves.
Published in Chapter: Fast Track to Reduce Patient Lead Time: A Discrete Event Simulation Analysis; From: Handbook of Research on Optimizing Healthcare Management Techniques
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Chapter 7
Analyzing Airport Capacity by Simulation: A Mexican Case Study
The process of codifying the behavior of a complex system as an ordered sequence of well-defined events. In this context, an event comprises a specific change in the system's state at a specific point in time.
Published in Chapter: Analyzing Airport Capacity by Simulation: A Mexican Case Study; From: Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations
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Chapter 2
Different Approaches for Studying Interruptible Industrial Processes: Application of Two Different Simulation Techniques
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Chapter 104
Hybrid SD/DES Simulation for Supply Chain Analysis
A simulation-modelling approach which considers a system as a discrete chain of events over time.
Published in Chapter: Hybrid SD/DES Simulation for Supply Chain Analysis; From: Encyclopedia of Business Analytics and Optimization
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Chapter 7
Pooling Strategies in Supply Chains: Development of Simulation Models to Explore Their Effects on CO2 Emissions
A discrete event simulation models the operation of a system as a succession of events. Each event occurs at a particular point in time and marks a change of state in the system.
Published in Chapter: Pooling Strategies in Supply Chains: Development of Simulation Models to Explore Their Effects on CO2 Emissions; From: Emerging Trends in Sustainable Supply Chain Management and Green Logistics
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Chapter 20
Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies
One of the most powerful methodologies of using computer models of the real systems to analyze their performance by tracking system changes (events) at discrete moments of time
Published in Chapter: Queuing Theory and Discrete Events Simulation for Health Care: From Basic Processes to Complex Systems with Interdependencies; From: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
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Chapter 15
The Simulation of Spiking Neural Networks
An approach to simulation in which updates to the model are event-driven instead of clock-driven. This type of simulation typically works by maintaining a queue of events that are sorted by the time at which they are scheduled to occur.
Published in Chapter: The Simulation of Spiking Neural Networks; From: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
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Chapter 4
A Simulation Model for Resource Balancing in Healthcare Systems
DES is the modeling of systems in which the state variable changes only at a discrete set of points in time.
Published in Chapter: A Simulation Model for Resource Balancing in Healthcare Systems; From: Handbook of Research on Data Science for Effective Healthcare Practice and Administration
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Chapter 7
Event Generation for Emergency Scenarios Simulation
A simulation that uses a discrete model where the dependent variables (i.e., state indicators) change discretely at points in time referred to as events. Contrast with: continuous simulation.
Published in Chapter: Event Generation for Emergency Scenarios Simulation; From: Information Technology Applications for Crisis Response and Management
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Chapter 12
Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling
A simulation based form of modelling in which patterns of events in the problem are recreated so that the timing and resource implications can be examined. The events generated usually include the arrival and departure of entities from the system or one of its sub processes. Timing and quantities in the model are typically generated by implementing appropriate stochastic distributions. Law & Kelton (2000) provides a comprehensive introduction to this form of modelling.
Published in Chapter: Developments in Modeling Organizational Issues in Healthcare: Multi Method Modeling; From: Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 104
Managing Operating Room Cost in Cardiac Surgery with Three Process Interventions
A simulation model where significant changes occur at discrete time instances.
Published in Chapter: Managing Operating Room Cost in Cardiac Surgery with Three Process Interventions; From: Encyclopedia of Healthcare Information Systems
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Chapter 5
Lean Manufacturing System Design Based on Computer Simulation: Case Study for Manufacturing of Automotive Engine Control Units
Process of codifying the behavior of a complex system as an ordered sequence of well-defined events. In this context, an event comprises a specific change in the system's state at a specific point in time.
Published in Chapter: Lean Manufacturing System Design Based on Computer Simulation: Case Study for Manufacturing of Automotive Engine Control Units; From: Handbook of Research on Design and Management of Lean Production Systems
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Chapter 62
Introduction to Multi-Agent Simulation
Discrete event simulation is modelling a system as a set of entities being processed and evolving over time according to availability of resources and the triggering of events. The simulator maintains a queue of events sorted by the simulated time they should occur.
Published in Chapter: Introduction to Multi-Agent Simulation; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 196
Simulation Optimization via Metamodeling Approach
It is the simulation of a system where events occur at an instant in time changing the state of the system.
Published in Chapter: Simulation Optimization via Metamodeling Approach; From: Encyclopedia of Business Analytics and Optimization
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