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Foreword; Acknowledgement; Contents; 1: Initial Thoughts; 2: The Omnipresence of Complexity; 2.1 About the Basic Complexity Survival Skills for Engineers; 2.2 Who Should Read This Thesis?; 2.3 Structure of the Thesis; References; 3: Introducing Complexity in Engineering; 3.1 Composition of Complex Systems; 3.2 Complexity Definitions; 3.3 Impact of Complexity; 3.4 Established Complexity Management in Engineering; 3.4.1 Operations Research; 3.4.2 Systems Engineering; 3.4.3 System Dynamics; 3.4.4 Dependency Modeling; References; 4: History of Complexity Management

4.1 The Emergence of System Thinking4.1.1 The World View of Aristotle; 4.1.2 Mechanical Philosophy; 4.1.3 Opposition to the Mechanical Philosophy; 4.2 Bertalanffyś General Systems Theory; 4.3 Development of Complexity Management; 4.3.1 Impact from the Second World War; 4.3.2 Cybernetics; 4.3.2.1 Norbert Wiener; 4.3.2.2 The Scientific Approach of Cybernetics; 4.3.2.3 The Macy Conferences; 4.3.2.4 Decoding the Basics of Self-organizing Systems; 4.3.2.5 The Bio-Cybernetics of Frederic Vester; 4.3.2.6 Management-Cybernetics by Stafford Beer; 4.3.2.7 Breakthrough in the German-Speaking Area

4.3.2.8 Status Quo and Outlook4.3.3 Operations Research; 4.3.4 Systems Engineering; 4.3.5 System Dynamics; 4.3.6 Game Theory; 4.4 Discussion of Historical Developments; References; 5: Classification of Complexity Management Approaches in Engineering; 5.1 A Map of Complexity Management Approaches; 5.2 The Main Research Areas of Engineering Complexity; 5.2.1 Product Development; 5.2.2 Systems Engineering; 5.2.3 Complex Systems; 5.2.4 Software Engineering; 5.2.5 Management Science; 5.2.6 Complexity Theory; 5.2.7 Complex Networks; 5.3 Discipline Overlaps; 5.4 Discussion; References

6: A Complexity Management Framework6.1 System Definition; 6.2 Identify the Type of Complexity; 6.3 Strategies and Associated Methods for Handling Complexity; 6.3.1 Create Transparency by System Views; 6.3.2 Avoid or Reduce Complexity; 6.3.3 Manage and Control Complexity; 6.4 System Modeling: The Challenge of Information Acquisition; 6.4.1 Requirements for Information Acquisition; 6.4.1.1 Adequate Level of Detail; 6.4.1.2 Accessibility, Traceability and Extensibility; 6.4.1.3 Systematic Procedure; 6.4.2 Methods of Information Acquisition; 6.4.2.1 Analog and Digital Surveys

6.4.2.2 Documentation6.4.2.3 Observation; 6.4.2.4 Interview; 6.4.2.5 Estimations; 6.4.3 Barriers Against Successful Information Acquisition; 6.4.3.1 Input Orientation; 6.4.3.2 Lack of Motivation; 6.4.3.3 Intentional Concealment; 6.4.3.4 Cognitive Limits; 6.4.3.5 Social Pressure; 6.4.3.6 System-level Knowledge; 6.4.3.7 Lack of Resources; 6.4.3.8 Dilemma of Product Design; 6.4.3.9 A Priori Problem and Subjectivity; 6.5 Complexity Management Implementation; References; 7: Summary and Future Challenges; References; Index

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