Systems Analysis and Modeling: A Macro-to-Micro Approach with Multidisciplinary Applications

by Donald W. Boyd

Overview

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

Product Details

ISBN-13:	9780080518398
Publisher:	Elsevier Science & Technology Books
Publication date:	10/19/2000
Sold by:	Barnes & Noble
Format:	eBook
Pages:	365
File size:	9 MB

About the Author

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.

Table of Contents

1. Introduction to Analysis and Modeling2. Systems Modeling Principles3. Population Model: Calibration and Validation4. Modeling with Dynamic Forms5. Small Arms Exterior Ballistics Model6. Inventory Systems Models: Shaping Dynamic Response7. Modeling Corporate Assets8. Stochastic Analysis9. Work Physiology Model10. Macro Model of Blue Glacier11. State Water Planning Model12. Prototyping a Forest Systems Model13. Applications UnlimitedReferencesGlossary Index

Editorial Reviews

"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

From the Publisher