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Book : Systems Engineering (1992)

Summary

From the publisher:

'Systems Engineering' focuses on systems methodology, design, and management.  The contents offer technical insight for professionals concerned with systems engineering and management and to students who need to master the steps to effective systems engineering. Throughout, the book emphasizes the process of systems engineering rather than the product of systems engineering, recognizing that proper attention to processes almost inevitably leads to higher quality products.

'Systems Engineering' addresses the fundamental considerations associated with the engineering of large scale systems. Divided into two sections, the first part deals with systems methodology, design and management including a detailed examination of operational and task level system quality assurance through configuration management, audits and reviews, standards and systems integration. The second part discusses a variety of systems design and management approaches, particularly those concerned with system effectiveness evaluation and the human role in systems.

Content / Structure

1. An Introduction to Systems Engineering

• 1.1 Characteristics of Systems Engineering
• 1.2 The Emergence of Systems Engineering
• 1.3 From Computer Technology to Information Technology
• 1.4 The Need for and Definitions of Systems Engineering
• 1.5 A Life-Cycle Methodology for Systems Engineering
  • 1.5.1 Systems Design
  • 1.5.2 Systems Engineering Methodology
• 1.6 Phases in the Life Cycle of Systems Engineering
• 1.7 Objectives for Systems engineering
• 1.8 Other Related Efforts
• Problems
• References

2. Systems Engineering Processes and Life Cycles

• 2.1 A Three-Phase and Twenty-Two Phase Life Cycle
• 2.2 Models of the Systems Engineering Life Cycle
• 2.3 Software Systems Engineering Life-Cycle Models
• 2.4 Steps of the Fine Structure of Systems Engineering
  • 2.4.1 Issue or Problem Formulation
  • 2.4.2 Issue or Problem Analysis
  • 2.4.3 Problem or Issue Interpretation
  • 2.4.4 Considerations in the Choice of Systems Engineering Methods
• 2.5 Summary
• Problems
• References

3. Systems Management

• 3.1 Introduction
• 3.2 Organizational Management
• 3.3 Organizational Structures
• 3.4 Systems Management Life Cycles
• 3.5 Evaluation of Systems Management Life Cycles for Product Development
• 3.6 Summary
• Problems
• References

4. Operational and Task Level System Quality Assurance Through Configuration Management, Audits and Reviews, Standards, and Systems Integration

• 4.1 Introduction
• 4.2 Configuration Management
• 4.3 Configuration Management and Concurrent Engineering
• 4.4 Definitions for Quality Assurance and Associated Reviews and Audits
• 4.5 The Role of Standards in Systems Engineering
• 4.6 Systems Integration
• 4.7 Summary
• Problems
• References

5. Strategic Quality Assurance and Management

• 5.1 Introduction to and History of Quality
• 5.2 From Inspections to Total Quality Management
• 5.3 Quality and Quality Assurance Definitions and Perspectives
• 5.4 Approaches to Quality Assurance
  • 5.4.1 Managerial Psychology
  • 5.4.2 Strategies for Excellence
  • 5.4.3 Total Quality Management (TQM)
  • 5.4.4 Other Related TQM Studies
• 5.5 Summary
• Problems
• References

6. Information Requirements, Risk Management, and Associated Systems Engineering Methods

• 6.1 Introduction
• 6.2 Information Requirements Determination
• 6.3 Risk Management
  • 6.3.1 Network-Based Systems Planning and Management Methods
  • 6.3.2 Risk Management Methodology
  • 6.3.3 Assessment of Risk Management Factors
  • 6.3.4 Need for a Theory of Risk Assessment
• 6.4 Systems Engineering Methods for Requirements, Risk, and Quality Management
  • 6.4.1 Network-Based Systems Planning and Management Methods
  • 6.4.2 Bar Charts
  • 6.4.3 Interaction Matrices
  • 6.4.4 Tree Structures and Hierarchical Structures
  • 6.4.5 Causal and Influence Diagrams
• 6.5 Summary
• Problems
• References

7. Decision Assessment

• 7.1 Introduction: Types of Decisions
• 7.2 Formal Decisions
  • 7.2.1 Prescriptive and Normative Decision Assessments
  • 7.2.2 A Formal Normative Model for Decision Assessment
  • 7.2.3 Decision Assessment with No Prior Information on Uncertainties
  • 7.2.4 Decision Assessment Under Conditions of Event Outcome Uncertainty
  • 7.2.5 Utility Theory
  • 7.2.6 Multiple Attribute Utility Theory
• 7.3 Descriptive Decision Models
  • 7.3.1 The Framing of Decision Situations to Include Regret
  • 7.3.2 Regret
  • 7.3.3 Heuristics and Biases in Descriptive Decision Making
  • 7.3.4 Prospect Theory: A Descriptive Model of Human Judgment and Choice
  • 7.3.5 Social Judgement Theory
• 7.4 Summary
• Problems
• References

8. Microeconomic Systems and Cost and Operational Effectiveness Analysis

• 8.1 Microeconomic Systems Analysis
  • 8.1.1 Theories of the Firm and the Consumer
  • 8.1.2 Microeconomic Supply-Demand Models
  • 8.1.3 Perfectly Competitive Economic Conditions
  • 8.1.4 Welfare Economics
• 8.2 Economic Discounting for Systems Engineering Economic Analysis
  • 8.2.1 Present and Future Worth
  • 8.2.2 Economic Appraisal Methods for Investments Over Time
  • 8.2.3 The Discount Rate
• 8.3 Cost_Benefit and Cost-Effectiveness Analysis
  • 8.3.1 Benefit-Cost Ratio and Portfolio Analysis
  • 8.3.2 Identification of Costs and Benefits
  • 8.3.3 Identification and Quantification of Effectiveness
  • 8.3.4 Cost Estimation
  • 8.3.5 A Guide to Cost-Benefit and Cost and Operational Effectiveness Analysis
  • 8.3.6 Cost-Effectiveness in Systems Management of Emerging Technologies
• 8.4 Summary
• Problems
• References

9. Cognitive Ergonomics

• 9.1 Introduction
• 9.2 Cognitive Control in Task Performance
  • 9.2.1 Stereotypical Cognitive Styles
  • 9.2.2 Piaget's Model of Cognitive Development
  • 9.2.3 The SHOR Model
  • 9.2.4 The Rasmussen Model of Judgement and Choice
  • 9.2.5 The Klein Cognitives Control Model
  • 9.2.6 The Dreyfus Cognitive Control Model
  • 9.2.7 The Janis and Mann Cognitive Control Model
  • 9.2.8 Hammond's Model of Intuitive and Analytical Cognitions
  • 9.2.9 Interpretation of the Human Information Processing or Cognitive Control Models
• 9.3 Information and Knowledge Representation
• 9.4 Human Information Processing in Organizational Settings
• 9.5 Rationality Perspectives and Environments for Individual and Organizational Information Processing
  • 9.5.1 Economic Rationality
  • 9.5.2 Technical Rationality
  • 9.5.3 Satisficing or Bounded Rationality
  • 9.5.4 Social Rationality
  • 9.5.5 Political Rationality
  • 9.5.6 Legal Rationality
  • 9.5.7 Substantive Rationality
  • 9.5.8 Procedural Rationality
  • 9.5.9 Bureaucratic Politics, Incrementalism or Muddling-Through Rationality
  • 9.5.10 Organizational Processes Rationality
  • 9.5.11 Garbage Can Rationality
  • 9.5.12 Comparison of Rationality Perspectives
• 9.6 Human Abilities, Human Error, and the Amelioration of Human Error
  • 9.6.1 Problem Formulation, Issue Detection and Diagnosis, and Situation Assessment
  • 9.6.2 Human-Machine or Human-System Interactions
  • 9.6.3 Human Error and Its Amelioration
• 9.7 Human Error

Index

Copyright 1992 by John Wiley & Sons Inc.

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Related Resources

• Handbook of Systems Engineering and Management (1999)
• Methodology for Large Scale Systems (1977)

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