EDITION YEAR 2026
System Dynamics finds its main applications in the complex and ill-defined environments, where the decisions of the human being intervene. The point of view of the System Dynamics is radically different from that of other techniques applied to the construction of models of socioeconomic systems, such as econometrics based on a behavioral approach.
The basic objective of System Dynamics is to understand the structural causes that cause the behavior of the system. The System Dynamics allows the construction of models after a careful analysis of the elements of the system. This analysis allows to extract the internal logic of the model, and with it to try an understanding of the long-term evolution of the system.
There is an extensive bibliography on System Dynamics, this book provides a clear and orderly vision of how to build a simulation model with this technique. It includes detailed modeling of environmental systems, business, social and physical systems.
The book contains downloadable material !
Index
Environmental System Dynamics
- Population Growth
- Modeling the Ecology of a Natural Reserve
- Effects of the Intensive Farming
- The Fishery of Shrimp
- Rabbits and Foxes
- A Study of Hogs
- Ingestion of Toxins
- The Barays of Angkor
Business Dynamics
- Production and Inventory
- CO2 Emissions
- How to work more and better
- Dynamic of faults
- Project Dynamics
- Innovatory Companies
- Quality Control
- The impact of a Business Plan
Social System Dynamics
- Filling a Glass
- Dynamics of a Segmented Population
- The Young Ambitious Worker
- Development of an Epidemic
- The Dynamics of Two Clocks
Dynamics of Physical Systems
- The Tank
- Study of the Oscillatory Movements
- Design of a Chemical Reactor
GUIDE TO CREATING A MODEL
- Creating a CLD
- Creating a SFD
- Writting the conclusions
GUIDE TO USING ARTIFICIAL INTELLIGENCE
- Using AI
- How AI works
- Steps to follow
- Patterns
- Prompt
- Examples
Applications
The diverse range of examples provided in this book, will allow readers to:
- Build models without deep mathematical knowledge.
- Simulate system behaviors and optimize complex systems.
- Define strategies avoiding unintended consequences.
- Evaluate the effectiveness of its policies.
The author
Juan Martín García is a teacher and worldwide recognized expert in System Dynamics, with more than twenty years of experience in this field. Ph.D. Industrial Engineer (Spain) and Postgraduated Diploma in Business Dynamics at Massachusetts Institute of Technology MIT (USA). He teaches Vensim online courses in http://vensim.com/vensim-online-courses/ based on System Dynamics.
