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What is System Dynamics

Chapter 19
Handbook of Research on Power and Energy System Optimization
The basis of system dynamics is to understand how system structures cause system behavior and system events.
Published in Chapter:
A Suggestion for Energy Policy Planning System Dynamics
Arzu Eren Şenaras (Uludag Unıversıty, Turkey)
Copyright: © 2018 |Pages: 24
DOI: 10.4018/978-1-5225-3935-3.ch019
Abstract
The system dynamics approach was developed by Jay Forrester from MIT during 1950s to analyze the complex behavior in administration with computer simulation in social sciences. System dynamics is a form of systems approach as a methodology to understand the dynamic behavior of complex systems. The basis of system dynamics is to understand how system structures cause system behavior and system events. System thinking and system dynamics provide computer technology and conceptual and numerical modeling techniques that could help explain the dynamics and forces underlying the complexity and change in business, politics, socio-economic, and environmental systems. System dynamics, policy analysis, and design are used for learning and decision making.
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Chapter 4
System Dynamics Modeling for Public Health Bed Capacity Planning
The basis of system dynamics is to understand how system structures cause system behavior and system events.
Published in Chapter: System Dynamics Modeling for Public Health Bed Capacity Planning; From: Forecasting and Managing Risk in the Health and Safety Sectors
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Chapter 14
Distributing Mutual Advantages in Italian Cooperatives: An Analysis of Patronage Refunds
Methodology to build conceptual or simulation models depicting the causal structure of a complex system.
Published in Chapter: Distributing Mutual Advantages in Italian Cooperatives: An Analysis of Patronage Refunds; From: Modernization and Accountability in the Social Economy Sector
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Chapter 582
Systems Thinking and the Internet from Independence to Interdependence
Is a scientific tool which embodies principles from biology, ecology, psychology, mathematics, and computer science to model complex and dynamic systems.
Published in Chapter: Systems Thinking and the Internet from Independence to Interdependence; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 10
Policy Designing via System Dynamics
The basis of system dynamics is to understand how system structures cause system behavior and system events.
Published in Chapter: Policy Designing via System Dynamics; From: Managing Operations Throughout Global Supply Chains
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Chapter 63
Data-Driven Simulation-Based Analytics
Complex interdependencies of parameters and order of events.
Published in Chapter: Data-Driven Simulation-Based Analytics; From: Encyclopedia of Business Analytics and Optimization
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Chapter 20
Balancing the Capacity in Health Care
A methodology for studying and managing complex feedback systems, such as one finds in business and other social systems.
Published in Chapter: Balancing the Capacity in Health Care; From: Encyclopedia of Healthcare Information Systems
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Chapter 12
Bolstering Healthcare in an Orthopaedic Ward: A Call for a System Dynamics and Participatory Action Approach
A robust scientific approach that reframes complex issues into a seamless homogenous whole picture scenario; by lieu of identifying interconnectivity, feedback loops, non-linear behavioural patterns, and time delays.
Published in Chapter: Bolstering Healthcare in an Orthopaedic Ward: A Call for a System Dynamics and Participatory Action Approach; From: Acceleration of the Biopsychosocial Model in Public Health
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Chapter 104
Hybrid SD/DES Simulation for Supply Chain Analysis
A simulation-modelling approach to understand the structure and behaviour of complex dynamic systems 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 20
Developing a Dynamic View of Broadband Adoption
A systems-oriented dynamic modeling approach first proposed in Forrester (1961). Models are based on the causal structure of the problem including the perceptions of the actors. Two levels of modeling are possible: qualitative modeling using influence diagrams, and causal loop analysis or quantitative modeling using Stock-Flow diagrams and computer simulation.
Published in Chapter: Developing a Dynamic View of Broadband Adoption; From: Handbook of Research on Global Diffusion of Broadband Data Transmission
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Chapter 62
Introduction to Multi-Agent Simulation
System dynamics is a top-down approach for modelling system changes over time. Key state variables that define the behaviour of the system have to be identified and these are then related to each other through coupled, differential equations.
Published in Chapter: Introduction to Multi-Agent Simulation; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 116
An Overview of Multi-Agent Simulation in Organizations
A continuous simulation of systems exhibiting feedback loops. The feedbacks can either intensify activities of the system (positive feedback) or slow them down and stabilize the system (negative feedback).
Published in Chapter: An Overview of Multi-Agent Simulation in Organizations; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 2
Different Approaches for Studying Interruptible Industrial Processes: Application of Two Different Simulation Techniques
A simulation technique based on the solution of differential equations, in which the status variables of a system vary with continuity.
Published in Chapter: Different Approaches for Studying Interruptible Industrial Processes: Application of Two Different Simulation Techniques; From: Handbook of Research on Computational Simulation and Modeling in Engineering
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Chapter 3
Collaborative, Stakeholder-Driven Resource Modeling and Management
An approach for capturing the complex inter- and intra- dependencies that characterize systems, including feedback over time.
Published in Chapter: Collaborative, Stakeholder-Driven Resource Modeling and Management; From: Handbook of Research on Hydroinformatics: Technologies, Theories and Applications
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Chapter 435
Multi-Agent Simulation in Organizations: An Overview
A continuous simulation of systems exhibiting feedback loops. The feedbacks can either intensify activities of the system (positive feedback) or slow them down and stabilize the system (negative feedback).
Published in Chapter: Multi-Agent Simulation in Organizations: An Overview; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 2
Using Modeling and Simulation to Learn Mathematics
A technique que allow to obtain models to explore possible futures or scenarios and ask “what if” questions in complex situations.
Published in Chapter: Using Modeling and Simulation to Learn Mathematics; From: Handbook of Research on Driving STEM Learning With Educational Technologies
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Chapter 28
Applying Fuzzy Logic in Dynamic Causal Mining
System dynamics is an approach to understanding the behaviour of a target system over time. It deals with internal feedback loops and time delays that affect the behaviour of the entire system. Computer software is used to simulate a system dynamics model of the situation being studied. Running what-if simulations to test certain policies on such a model can greatly aid in understanding how the system changes over time. System dynamics is very similar to systems thinking and constructs the same causal loop diagrams of systems with feedback (http://www.wikipedia.com).
Published in Chapter: Applying Fuzzy Logic in Dynamic Causal Mining; From: Handbook of Research on Fuzzy Information Processing in Databases
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Chapter 82
Major Techniques and Current Developments of Supply Chain Process Modelling
A method through which the dynamic behaviour of a complex system over time can be better understood by taking into account internal feedback and time delays.
Published in Chapter: Major Techniques and Current Developments of Supply Chain Process Modelling; From: Advanced Methodologies and Technologies in Business Operations and Management
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Chapter 214
Supply Chain Process Modeling for Manufacturing Systems
A method through which the dynamic behavior of a complex system over time can be better understood by taking into account internal feedback and time delays.
Published in Chapter: Supply Chain Process Modeling for Manufacturing Systems; From: Encyclopedia of Business Analytics and Optimization
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Chapter 18
Supply Chain Management via System Dynamics in Flexible Manufacturing System
The basis of system dynamics is to understand how system structures cause system behavior and system events
Published in Chapter: Supply Chain Management via System Dynamics in Flexible Manufacturing System; From: Handbook of Research on Developments and Trends in Industrial and Materials Engineering
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Chapter 11
System Dynamics Modelling for Analyzing CO2 Emissions: A Case Study in Turkey
The basis of system dynamics is to understand how system structures cause system behavior and system events.
Published in Chapter: System Dynamics Modelling for Analyzing CO2 Emissions: A Case Study in Turkey; From: Global Perspectives on Air Pollution Prevention and Control System Design
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Chapter 7
Technological Growth in Religious Organisations: Exploring Social Media Through System Dynamics
System dynamics is a method that is used to describe and simulate dynamically complex issues over time using stocks, flows, internal feedback loops, table functions and delay processes that drive system behaviour.
Published in Chapter: Technological Growth in Religious Organisations: Exploring Social Media Through System Dynamics; From: Using Information Technology Advancements to Adapt to Global Pandemics
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Chapter 7
Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems
System Dynamics is a dynamic modelling approach at system level which is primarily used to understand interconnected systems and their evolution over time. Basic elements to represent the systems are internal feedback loops as well as stocks and flows.
Published in Chapter: Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems; From: Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities
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Chapter 35
Dynamic System Simulation for Decision Support
A modeling approach developed by Forrester (1961) that models complex systems. An engineering discipline that deals with the mathematical analysis of dynamic systems.
Published in Chapter: Dynamic System Simulation for Decision Support; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 472
Major Techniques and Current Developments of Supply Chain Process Modelling
A method through which the dynamic behaviour of a complex system over time can be better understood by taking into account internal feedback and time delays.
Published in Chapter: Major Techniques and Current Developments of Supply Chain Process Modelling; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 13
Governing Patients' Mobility to Pursue Public Value: A System Dynamic Approach to Improve Healthcare Performance Management
Computer-aided methodology able to represent the causal structure of a system through stock-and-flow feedback structures and computer simulations regarding the accumulation of materials, information, people, and money.
Published in Chapter: Governing Patients' Mobility to Pursue Public Value: A System Dynamic Approach to Improve Healthcare Performance Management; From: Handbook of Research on Modernization and Accountability in Public Sector Management
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Chapter 6
An Epistemological Gap in Simulation Technologies and the Science of Society
This studies the non-linear interaction of systems of many connected equations. The approach is based on differential equations. It describes the dynamical properties of a whole system using internal negative and positive feedback loops as well as the use of stocks and flows.
Published in Chapter: An Epistemological Gap in Simulation Technologies and the Science of Society; From: Handbook of Research on Culturally-Aware Information Technology: Perspectives and Models
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Chapter 30
Fuzzy System Dynamics of Manpower Systems
A systems simulation methodology to study complex dynamic behavior of industrial and social systems based on control engineering and cybernetics.
Published in Chapter: Fuzzy System Dynamics of Manpower Systems; From: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
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Chapter 8
Fuzzy System Dynamics: An Application to Supply Chain Management
A systems simulation methodology to study complex dynamic behavior of industrial and social systems based on control engineering and cybernetics
Published in Chapter: Fuzzy System Dynamics: An Application to Supply Chain Management; From: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
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Chapter 21
Modelling a Small Firm in Jordan Using System Dynamics
System dynamics is an approach to understanding the behaviour of over time. It deals with internal feedback loops and time delays that affect the behaviour of the entire system. It also helps the decision maker untangle the complexity of the connections between various policy variables by providing a new language and set of tools to describe. Then it does this by modeling the cause and effect relationships among these variables
Published in Chapter: Modelling a Small Firm in Jordan Using System Dynamics; From: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
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Chapter 6
Modelling Patients' Contribution to Healthcare: A Dynamic Performance Management Application
Simulation methodology suitable to deal with dynamic problems (i.e., issue behaviors occurring over the time) in complex social, economic, or ecological systems.
Published in Chapter: Modelling Patients' Contribution to Healthcare: A Dynamic Performance Management Application; From: Managing Patients' Organizations to Improve Healthcare: Emerging Research and Opportunities
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