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--- en:iot-reloaded:systems_thinking_and_design_of_iot_systems [2025/05/13 10:35] – [Design Thinking in IoT Design Methodologies] pczekalski
+++ en:iot-reloaded:systems_thinking_and_design_of_iot_systems [2025/05/13 14:08] (current) – [System Dynamics Modeling for IoT Systems] pczekalski
@@ Line 194: / Line 194: @@
 ===== Systems Thinking in IoT Design Methodologies =====
-Systems Thinking is a holistic approach to analysing and solving complex problems by understanding a system's relationships, interactions, and interdependencies. In the context of Internet of Things (IoT) design, Systems Thinking becomes crucial because IoT systems are inherently complex, comprising interconnected devices, networks, data flows, and user interactions. By adopting Systems Thinking, IoT designers can address the challenges of scalability, interoperability, and sustainability while ensuring that solutions align with user needs and broader organisational goals.
+Systems Thinking is a holistic approach to analysing and solving complex problems by understanding a system's relationships, interactions, and interdependencies. In the context of Internet of Things design, Systems Thinking becomes crucial because IoT systems are inherently complex, comprising interconnected devices, networks, data flows, and user interactions. By adopting Systems Thinking, IoT designers can address the challenges of scalability, interoperability, and sustainability while ensuring that solutions align with user needs and broader organisational goals.
 **What is Systems Thinking?**
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 ===== System Dynamics Modeling for IoT Systems =====
-System dynamics is a practical application of Systems Thinking, originally developed at MIT in the 1950s. It provides a framework for understanding and modelling the complex behaviour of systems by emphasising the interconnections, feedback loops, and time delays inherent in such systems. Practitioners and researchers in system dynamics employ various modelling and simulation tools to explore the implications of hypothesised causal relationships and understand system dynamics over time. Sample closed-loop system dynamics modelling methodology is present in figure {{ref>iotsdmcl1}}.
+System dynamics is a practical application of Systems Thinking, originally developed at MIT in the 1950s. It provides a framework for understanding and modelling the complex behaviour of systems by emphasising the interconnections, feedback loops, and time delays inherent in such systems. Practitioners and researchers in system dynamics employ various modelling and simulation tools to explore the implications of hypothesised causal relationships and understand system dynamics over time. A sample closed-loop system dynamics modelling methodology is present in figure {{ref>iotsdmcl1}}.
 <figure iotsdmcl1>
 {{ :en:iot-reloaded:iot_system_design-page-8.png?600 |Closed-loop System Dynamics Modelling Methodology}}
 <caption>Closed-loop System Dynamics Modelling Methodology</caption>
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   * Battery Energy Systems: Energy content changes during charging and discharging cycles.
   * Information Spread: The "population" of users influenced by fake news or disinformation over time.
-  * Stock changes: Changes of stocks in IoT-controlled production or industrial systems, e.g., changes in liquid level in IoT-controlled industrial system.
+  * Stock changes: Changes of stocks in an IoT-controlled production or industrial systems, e.g., changes in liquid level in an IoT-controlled industrial system.
 **2. Causal Structures:**\\

en/iot-reloaded/systems_thinking_and_design_of_iot_systems.1747132541.txt.gz · Last modified: 2025/05/13 10:35 by pczekalski