Overview

Architecture and Function of Complex Systems System architecture is the study of early decision making in complex systems. This text teaches how to capture experience and analysis about early system decisions, and how to choose architectures that meet stakeholder needs, integrate easily, and evolve flexibly. With case studies written by leading practitioners, from hybrid cars to communications networks to aircraft, this text showcases the science and art of system architecture. 

Full Product Details

Author:   Edward Crawley ,  Bruce Cameron ,  Daniel Selva
Publisher:   Pearson Education (US)
Imprint:   Pearson
Dimensions:   Width: 17.80cm , Height: 2.30cm , Length: 23.60cm
Weight:   0.848kg
ISBN:  

9780133975345

ISBN 10:   0133975347
Pages:   480
Publication Date:   24 March 2016
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292110844
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Foreword Preface Acknowledgments About the Authors   PART 1: SYSTEM THINKING   1. Introduction to System Architecture Architecture of Complex Systems The Advantages of Good Architecture Learning Objectives Organization of the Text             References   2. System Thinking 2.1 Introduction 2.2 Systems and Emergence 2.3 Task 1: Identify the System, Its Form, and Its Function 2.4 Task 2: Identify Entities of a System, Their Form, and Their Function 2.5 Task 3: Identify the Relationships among the Entities 2.6 Task 4: Emergence 2.7 Summary             References   3. Thinking about Complex Systems 3.1 Introduction 3.2 Complexity in Systems 3.3 Decomposition of Systems 3.4 Special Logical Relationships 3.5 Reasoning through Complex Systems 3.6 Architecture Representation Tools: SysML and OPM 3.7 Summary             References   PART 2: ANALYSIS OF SYSTEM ARCHITECTURE   4. Form 4.1 Introduction 4.2 Form in Architecture 4.3 Analysis of Form in Architecture 4.4 Analysis of Formal Relationships in Architecture 4.5 Formal Context 4.6 Form in Software Systems 4.7 Summary             References   5. Function 5.1 Introduction 5.2 Function in Architecture 5.3 Analysis of External Function and Value 5.4 Analysis of Internal Function 5.5 Analysis of Functional Interactions and Functional Architecture 5.6 Secondary Value-Related External and Internal Functions 5.7 Summary             References   6. System Architecture 6.1 Introduction 6.2 System Architecture: Form and Function 6.3 Non-idealities, Supporting Layers, and Interfaces in System Architecture 6.4 Operational Behavior 6.5 Reasoning about Architecture Using Representations 6.6 Summary             References   7. Solution-Neutral Function and Concepts 7.1 Introduction 7.2 Identifying the Solution-Neutral Function 7.3 Concept 7.4 Integrated Concepts 7.5 Concepts of Operations and Services 7.6 Summary             References   8. From Concept to Architecture 8.1 Introduction 8.2 Developing the Level 1 Architecture 8.3 Developing the Level 2 Architecture 8.4 Home Data Network Architecture at Level 8.5 Modularizing the System at Level 8.6 Summary             References   PART 3: CREATING SYSTEM ARCHITECTURE   9. The Role of the Architect 9.1 Introduction 9.2 Ambiguity and the Role of the Architect 9.3 The Product Development Process 9.4 Summary             References   10. Upstream and Downstream Influences on System Architecture 10.1 Introduction 10.2 Upstream Influence: Corporate Strategy 10.3 Upstream Influence: Marketing 10.4 U pstream Influence: Regulation and Pseudo-Regulatory Influences 10.5 Upstream Influence: Technology Infusion 10.6 Downstream Influence: Implementation—Coding, Manufacturing, and Supply Chain Management 10.7 Downstream Influence: Operations 10.8 Downstream Influence: Design for X 10.9 Downstream Influence: Product and System Evolution, and Product Families 10.10 The Product Case: Architecture Business Case Decision (ABCD) 10.11 Summary             References   11. Translating Needs into Goals 11.1 Introduction 11.2 Identifying Beneficiaries and Stakeholders 11.3 Characterizing Needs 11.4 Interpreting Needs as Goals 11.5 Prioritizing Goals 11.6 Summary             References   12. Applying Creativity to Generating a Concept 12.1 Introduction 12.2 Applying Creativity to Concept 12.3 Develop the Concepts 12.4 Expand the Concepts and Develop the Concept Fragments 12.5 Evolve and Refine the Integrated Concepts 12.6 Select a Few Integrated Concepts for Further Development 12.7 Summary             References   13. Decomposition as a Tool for Managing Complexity 13.1 Introduction 13.2 Understanding Complexity 13.3 Managing Complexity 13.4 Summary             References   PART 4: ARCHITECTURE AS DECISIONS   14. System Architecture as a Decision-Making Process 14.1 Introduction 14.2 Formulating the Apollo Architecture Decision Problem 14.3 Decisions and Decision Support 14.4 Four Main Tasks of Decision Support Systems 14.5 Basic Decision Support Tools 14.6 Decision Support for System Architecture 14.7 Summary             References   15. Reasoning about Architectural Tradespaces 15.1 Introduction 15.2 Tradespace Basics 15.3 The Pareto Frontier 15.4 Structure of the Tradespace 15.5 Sensitivity Analysis 15.6 Organizing Architectural Decisions 15.7 Summary             References   16. Formulating and Solving System Architecture Optimization Problems 16.1 Introduction 16.2 Formulating a System Architecture Optimization Problem 16.3 NEOSS Example: An Earth Observing Satellite System for NASA 16.4 Patterns in System Architecting Decisions 16.5 Formulating a Large-scale System Architecture Problem 16.6 Solving System Architecture Optimization Problems 16.7 Summary             References   Appendices Chapter Problems Index

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Author Information

Edward F. Crawley is the President of the Skolkovo Institute of Science and Technology (Skoltech) in Moscow, Russia, and a Professor of Aeronautics and Astronautics and Engineering Systems at MIT. He is the founder of ACX, BioScale, DataXu, and Ekotrope, and a member four national academies of engineering.  Bruce G. Cameron is the founder of Technology Strategy Partners (TSP), a consulting firm, and the Director of the System Architecture Lab at MIT.  He has worked with 60 Fortune 500 firms across aerospace, high tech, and consumer goods, and has built hardware currently on orbit.  Daniel Selva is a Professor of Mechanical and Aerospace Engineering at Cornell. He has pioneered the use of machine learning tools in system architecture analysis, and is the recipient of Best Paper and Hottest Article awards for his work with NASA.  

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