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What is Discrete Event Simulation (DES)

Chapter 521
Encyclopedia of Information Science and Technology, Second Edition
Use of a computer to mimic the behavior of a complicated system and thereby gain insight into the performance of that system under a variety of circumstances. Generally the system under investigation is viewed in terms of instantaneous changes due to certain sudden events or occurrences.
Published in Chapter:
Representational Decision Support Systems Success Surrogates
Roger McHaney (Kansas State University, USA)
Copyright: © 2009 |Pages: 5
DOI: 10.4018/978-1-60566-026-4.ch521
Abstract
Rapid and frequent organizational change has been a hallmark of business environments in the past two decades. Frequently, technology and new software development are embraced as aspects of complex strategies and tactical plans. Without sufficient analysis, the unforeseen consequences of change can result in unexpected disruptions and the loss of productivity. In order to better control these contingencies, modern managers often employ a variety of decision support aids. One such aid, classified as a representational decision support system, is discrete event simulation (DES).
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More Results
Chapter 7
Agent-Based Service Analytics
Emerged during 1960s in the manufacturing boom; it models the operation of a system as a discrete sequence of events in time, typical of a manufacturing process. Each event occurs at a particular instant in time and marks a change of state in the system. This contrasts with continuous simulation in which the simulation continuously tracks the system dynamics over time. Conventional DES constructs are entities, activities and queues; these constructs are linked to form a complex process in which entities flow. Probability functions are also used to model stochastic processes.
Published in Chapter: Agent-Based Service Analytics; From: Encyclopedia of Business Analytics and Optimization
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Chapter 83
Evolution of Simulation Paradigms in OR
Emerged during 1960s in the manufacturing boom; it models the operation of a system as a discrete sequence of events in time, typical of a manufacturing process. Each event occurs at a particular instant in time and marks a change of state in the system. This contrasts with continuous simulation in which the simulation continuously tracks the system dynamics over time. Conventional DES constructs are entities, activities and queues; these constructs are linked to form a complex process in which entities flow. Probability functions are also used to model stochastic processes.
Published in Chapter: Evolution of Simulation Paradigms in OR; From: Encyclopedia of Business Analytics and Optimization
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Chapter 43
Worker Performance Modeling in Manufacturing Systems Simulation
Modeling of a real system as it evolves over time by representing the changes as separate events, for the purpose of better understanding and/or improving that system.
Published in Chapter: Worker Performance Modeling in Manufacturing Systems Simulation; From: Handbook of Research on Nature-Inspired Computing for Economics and Management
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Chapter 82
Health Systems Simulation
A method of simulation that treats the operation of a system as a sequence of chronological events, with changes in the state of the system being triggered by a discrete event.
Published in Chapter: Health Systems Simulation; From: Encyclopedia of Healthcare Information Systems
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Chapter 16
Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain
DES is an approach to modelling using interconnected blocks to represent interaction between specific processes and is run on a computer using mathematical models. The latter are stochastic, that is they involve input generated according to probability distributions. A discrete model assumes that the state of the system changes only at specific times, often referred to as events.
Published in Chapter: Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain; From: Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies
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Chapter 16
Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain
DES is an approach to modelling using interconnected blocks to represent interaction between specific processes and is run on a computer using mathematical models. The latter are stochastic, that is they involve input generated according to probability distributions. A discrete model assumes that the state of the system changes only at specific times, often referred to as events.
Published in Chapter: Speeding Up Decision Support: Investigating the Distributed Simulation of a Healthcare Supply Chain; 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
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