Systems Analysis and Modeling

presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. Each example begins with a knowledge base that displays relevant information obtained from systems analysis. The diversity of examples clearly establishes a new protocol for synthesizing systems models.

- Macro-to-micro, top-down approach
- Multidisciplinary examples
- Incorporation of human knowledge to synthesise a systems model
- Clear and concise systems delimitation
- Complex systems using simple mathematics
- "Exact" reproduction of historical data plus model generated secondary data
- Systems simulation via systems models