System dynamics is a methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems. Originally developed in the 1950s to help corporate managers improve their understanding of industrial processes, SD is currently being used throughout the public and private sector for policy analysis and design. [2]

Introduction to systems thinking and system dynamics modeling applied to strategy, organizational change, and policy design. Students use simulation models, management flight simulators, and case studies to develop conceptual and modeling skills for the design and management of high-performance organizations in a dynamic world.

系统动力学(System Dynamics，简称SD)始创于1956年，在20世纪50年代末成为一门独立完整的学科，其创始者为美国麻省理工学院（MIT）的福瑞斯特（Forrester J. W.）教授。

A system dynamics model is built to understand a system of forces that have created a “problem” and continue to sustain it. To have a meaningful model, there must be some underlying problem in a system that creates a need for additional knowledge and understanding of the system. The goal of the conceptualization stage is to arrive at a

The field of system dynamics, created at MIT in the 1950s by Jay Forrester, is designed to help us learn about the structure and dynamics of the complex systems in which we are embedded, design high-leverage policies for sustained improvement, and …

This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in …

2021年10月20日 · Will I learn the system dynamics method in this session? NO! In Industrial Dynamics[1], Jay Forrester (1961) presents a type of model structure. He indicated that a model should have the following characteristics: Be able to describe any statement of cause-effect relationships that we may wish to include. Be simple in mathematical nature.

We offered lists of ideas on every step of the modeling process and voted on them. We agreed on many things but also apparently disagreed on some. For example, we agreed that the initial conceptualization phase should establish a dynamic hypothesis, but not on whether the process should center more on stock-and-flow diagrams or causal-loop.

System dynamics modeling is a team sport! The expertise, perspectives, and skills of multiple people are needed to successfully create a model that is useful to decision makers. By learning how to work alongside others, you will learn how to use systems thinking terminology and how to make sure you don’t miss important features of the system.

2023年7月21日 · We introduce a set of characteristics that define quantitative system dynamics, selected to capture core philosophy, describe theoretical and practical principles, and apply to historical work but be flexible enough to remain relevant as the field progresses.