Systems Analysis and Modeling: A Macro-to-Micro Approach with Multidisciplinary Applications
Autor Donald W. Boyden Limba Engleză Hardback – 18 oct 2000
- 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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Specificații
ISBN-13: 9780121218515
ISBN-10: 0121218511
Pagini: 365
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.77 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0121218511
Pagini: 365
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.77 kg
Editura: ELSEVIER SCIENCE
Public țintă
Engineers and scientists working in mechanical and civil engineering; those working in public planning and developmentCuprins
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
Recenzii
"This textbook for a senior engineering or graduate course presents the macro-to-micro approach to systems analysis and modeling. Boyd (Montana State University) demonstrates the method through examples of deterministic models drawn from physics, numerical methods, ballistics, inventory theory, and corporate strategy, followed by examples of stochastic modeling from ergonomics, glaciology, water resources planning, forestry, manufacturing processes, time series, and operations research." --Book News, Inc.®, Portland, OR