Description
Systems Analysis and Modeling
A Macro-to-Micro Approach with Multidisciplinary Applications
Author: Boyd Donald W.
Language: EnglishSubjects for Systems Analysis and Modeling:
Publication date: 10-2000
365 p. · 15x22.8 cm · Hardback
Out of Print
365 p. · 15x22.8 cm · Hardback
Out of Print
Description
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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.
1. Introduction to Analysis and Modeling
2. Systems Modeling Principles
3. Population Model: Calibration and Validation
4. Modeling with Dynamic Forms
5. Small Arms Exterior Ballistics Model
6. Inventory Systems Models: Shaping Dynamic Response
7. Modeling Corporate Assets
8. Stochastic Analysis
9. Work Physiology Model
10. Macro Model of Blue Glacier
11. State Water Planning Model
12. Prototyping a Forest Systems Model
13. Applications Unlimited
References
Glossary
Index
2. Systems Modeling Principles
3. Population Model: Calibration and Validation
4. Modeling with Dynamic Forms
5. Small Arms Exterior Ballistics Model
6. Inventory Systems Models: Shaping Dynamic Response
7. Modeling Corporate Assets
8. Stochastic Analysis
9. Work Physiology Model
10. Macro Model of Blue Glacier
11. State Water Planning Model
12. Prototyping a Forest Systems Model
13. Applications Unlimited
References
Glossary
Index
Engineers and scientists working in mechanical and civil engineering; those working in public planning and development
Donald W. Boyd holds B.S. and M.S. degrees in electrical engineering, a B.S. degree in mathematics, and a Ph.D. in agricultural economics from Montana State University.
- 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
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