Details

Handbook of Systems Engineering and Management


Handbook of Systems Engineering and Management


2. Aufl.

von: Andrew P. Sage, William B. Rouse

263,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 20.09.2011
ISBN/EAN: 9781118210000
Sprache: englisch
Anzahl Seiten: 1504

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Beschreibungen

<b>The trusted handbook—now in a new edition</b> <p>This newly revised handbook presents a multifaceted view of systems engineering from process and systems management perspectives. It begins with a comprehensive introduction to the subject and provides a brief overview of the thirty-four chapters that follow. This introductory chapter is intended to serve as a "field guide" that indicates why, when, and how to use the material that follows in the handbook.</p> <p>Topical coverage includes: systems engineering life cycles and management; risk management; discovering system requirements; configuration management; cost management; total quality management; reliability, maintainability, and availability; concurrent engineering; standards in systems engineering; system architectures; systems design; systems integration; systematic measurements; human supervisory control; managing organizational and individual decision-making; systems reengineering; project planning; human systems integration; information technology and knowledge management; and more.</p> <p>The handbook is written and edited for systems engineers in industry and government, and to serve as a university reference handbook in systems engineering and management courses. By focusing on systems engineering processes and systems management, the editors have produced a long-lasting handbook that will make a difference in the design of systems of all types that are large in scale and/or scope.</p>
<b>Preface xvii</b> <p><b>Contributors xxi</b></p> <p><b>An Introduction to Systems Engineering and Systems Management 1<br /> </b><i>Andrew P. Sage and William B. Rouse</i></p> <p>Systems Engineering 2</p> <p>Importance of Technical Direction and Systems Management 6</p> <p>Additional Definitions of Systems Engineering 9</p> <p>Life-Cycle Methodologies, or Processes, for Systems Engineering 23</p> <p>The Rest of the Handbook of Systems Engineering and Management 31</p> <p>Knowledge Map of the Systems Engineering and Management Handbook 50</p> <p>The Many Dimensions of Systems Engineering 55</p> <p>People, Organizations, Technology, and Architectures and System Families 56</p> <p>References 62</p> <p><b>1 Systems Engineering Life Cycles: Life Cycles for Research, Development, Test, and Evaluation; Acquisition; and Planning and Marketing 65<br /> </b><i>F. G. Patterson, Jr.</i></p> <p>1.1 Introduction 65</p> <p>1.2 Classification of Organizational Processes 69</p> <p>1.3 Research, Development, Test, and Evaluation Life Cycles 72</p> <p>1.4 System Acquisition or Production Life Cycles 76</p> <p>1.5 The Planning and Marketing Life Cycle 86</p> <p>1.6 Software Acquisition life-Cycle Models 88</p> <p>1.7 Trends in Systems Engineering Life Cycles 96</p> <p>1.8 Conclusion 108</p> <p><b>2 Systems Engineering Management: The Multidisciplinary Discipline 117<br /> </b><i>Aaron J. Shenhar and Brian Sauser</i></p> <p>2.1 Introduction 117</p> <p>2.2 Defining Systems Engineering Management 118</p> <p>2.3 Activities and Roles of the Systems Engineering Manager 120</p> <p>2.4 Toward a Comprehensive Framework for the Implementation of Systems Engineering Management: The Four-Dimensional "Diamond Taxonomy"—NTCP 123</p> <p>2.5 Different Systems Engineering Management Roles for Various Project Types 131</p> <p>2.6 The Skills, Tools, and Disciplines Involved in Systems Engineering Management 145</p> <p>2.7 Developing Educational and Training Programs in Systems Engineering Management 147</p> <p>2.8 Conclusion 150</p> <p><b>3 Risk Management 155<br /> </b><i>Yacov Y. Haimes</i></p> <p>3.1 The Process of Risk Assessment and Management 155</p> <p>3.2 The Holistic Approach to Risk Analysis 157</p> <p>3.3 Risk of Extreme Events 167</p> <p>3.4 The Partitioned Multiobjective Risk Method 171</p> <p>3.5 The Characteristics of Risk in Human-Engineered Systems 180</p> <p>3.6 Selected Cases of Risk-Based Engineering Problems 181</p> <p>3.7 Conclusion 200</p> <p><b>4 Discovering System Requirements 205<br /> </b><i>A. Terry Bahill and Frank F. Dean</i></p> <p>4.1 Introduction 205</p> <p>4.2 Stating The Problem 205</p> <p>4.3 What Are Requirements? 209</p> <p>4.4 Qualities of a Good Requirement 210</p> <p>4.5 Characterization of Requirements 216</p> <p>4.6 The Requirements Development and Management Process 227</p> <p>4.7 Fitting the Requirements Process into the Systems Engineering Process 243</p> <p>4.8 Related Items 245</p> <p>4.9 Requirements Volatility 247</p> <p>4.10 Inspections 248</p> <p>4.11 A Heuristic Example of Requirements 249</p> <p>4.12 The Hybrid Process for Capturing Requirements 250</p> <p>4.13 Conclusion 264</p> <p><b>5 Configuration Management 267<br /> </b><i>Peggy S. Brouse</i></p> <p>5.1 Introduction 267</p> <p>5.2 Configuration Management within the System Life Cycle 271</p> <p>5.3 Configuration Status Accounting and Configuration Auditing 281</p> <p>5.4 Configuration Management Responsibilities 283</p> <p>5.5 Configuration Management in Process Improvement 283</p> <p>5.6 Configuration Management Tools 286</p> <p>5.7 Conclusion 289</p> <p><b>6 Cost Management 291<br /> </b><i>Benjamin S. Blanchard</i></p> <p>6.1 Introduction 291</p> <p>6.2 Life-Cycle Costing 291</p> <p>6.3 Functional Economic Analysis 298</p> <p>6.4 Work Breakdown Structure 301</p> <p>6.5 Activity-Based Costing 306</p> <p>6.6 Cost and Effectiveness Analysis 310</p> <p>6.7 System Evaluation and Cost Control 320</p> <p>6.8 Conclusion 321</p> <p><b>7 Total Quality Management 325<br /> </b><i>James L. Melsa</i></p> <p>7.1 Introduction 325</p> <p>7.2 Historical Background of the Quality Movement 328</p> <p>7.3 Total Quality Management Tools 330</p> <p>7.4 Total Quality Management Philosophies 332</p> <p>7.5 Conclusion 349</p> <p><b>8 Reliability, Maintainability, and Availability 361<br /> </b><i>Michael Pecht</i></p> <p>8.1 Introduction and Motivation 361</p> <p>8.2 Evolution of RMA Engineering 362</p> <p>8.3 Allocation 363</p> <p>8.4 Design for Reliability 363</p> <p>8.5 System Reliability Assessment Modeling 385</p> <p>8.6 Fault Trees 390</p> <p>8.7 Design for Maintainability 390</p> <p>8.8 Data Collection, Classification, and Reporting 392</p> <p>8.9 Warranties and Life-Cycle Costs 393</p> <p>8.10 Operational Readiness and Availability 393</p> <p><b>9 Concurrent Engineering 397<br /> </b><i>Andrew Kusiak and Nick Larson</i></p> <p>9.1 Introduction 397</p> <p>9.2 Concurrent Engineering and the Product Life Cycle 398</p> <p>9.3 Building a Concurrent Engineering Environment: A Systems Engineering Perspective 399</p> <p>9.4 Managing a Concurrent Engineering Environment: Tools and Techniques 425</p> <p>9.5 Implementation 433</p> <p>9.6 Concurrnt Engineering in the Future 434</p> <p>9.7 Conclusion 435</p> <p><b>10 Engineering the Enterprise as a System 441<br /> </b><i>William B. Rouse</i></p> <p>10.1 Introduction 441</p> <p>10.2 Essential Challenges 442</p> <p>10.3 Enterprise Transformation 445</p> <p>10.4 Enterprises as Systems 451</p> <p>10.5 Transformation Framework 454</p> <p>10.6 Implications for Systems Engineering and Management 457</p> <p>10.7 Conclusion 458</p> <p><b>11 Standards in Systems Engineering 463<br /> </b><i>Stephen C. Lowell</i></p> <p>11.1 Introduction 463</p> <p>11.2 Definition 463</p> <p>11.3 Historical Highlights of Standards in the United States 463</p> <p>11.4 Reasons for Using Specifications and Standards 465</p> <p>11.5 Proper Application of Specifications and Standards 467</p> <p>11.6 Selection and Development of Specifications and Standards 468</p> <p>11.7 Useful Standards in the Systems Engineering Process 477</p> <p>11.8 Locating and Obtaining Specifications and Standards 477</p> <p><b>12 System Architectures 479<br /> </b><i>Alexander H. Levis</i></p> <p>12.1 Introduction 479</p> <p>12.2 Definition of Architectures 481</p> <p>12.3 Structured Analysis Approach 483</p> <p>12.4 The Executable Model 491</p> <p>12.5 Physical Architecture 493</p> <p>12.6 Performance Evaluation 495</p> <p>12.7 Object-Oriented Approach 496</p> <p>12.8 Architecture Evaluation 501</p> <p>12.9 The DoD Architecture Framework 503</p> <p>12.10 Conclusion 504</p> <p><b>13 Systems Design 507<br /> </b><i>K. Preston White, Jr.</i></p> <p>13.1 Introduction 507</p> <p>13.2 What is Systems Design? 508</p> <p>13.3 Steps in the Design process 508</p> <p>13.4 Design Tools 517</p> <p>13.5 A Brief History of Recent Design Theory 519</p> <p>13.6 Design and Concurrent Engineering 521</p> <p><b>14 Systems Integration 535<br /> </b><i>James D. Palmer</i></p> <p>14.1 Introduction 535</p> <p>14.2 Systems Integration in Large, Complex Engineered Systems and a Systems Integration Life Cycle 538</p> <p>14.3 Systems Integration Management and Technical Skills and Training Requirements 542</p> <p>14.4 Systems Integration Strategy for Success 545</p> <p>14.5 The Audit Trail 552</p> <p>14.6 Quality Assurance in Systems Integration 555</p> <p>14.7 Subcontractor Management for Systems Integration 559</p> <p>14.8 Subsystem Integration and Delivery 561</p> <p>14.9 Risk Management 564</p> <p>14.10 The Lead Systems Integrator 568</p> <p><b>15 Systematic Measurements 575<br /> </b><i>Andrew P. Sage</i></p> <p>15.1 Introduction 575</p> <p>15.2 Organizational Needs for Systematic Measurement 577</p> <p>15.3 Measurement Needs 578</p> <p>15.4 Organizational Measurements 587</p> <p>15.5 Metrics from Widely Accepted Standards, Awards, and Government Requirements 590</p> <p>15.6 Selected Measurement Approaches 609</p> <p>15.7 Systematic Measurements of Customer Satisfaction 617</p> <p>15.8 Systematic Measurements of Effort, Cost, and Schedule 625</p> <p>15.9 Systematic Measurements of Defects 625</p> <p>15.10 Metrics Process Maturity 626</p> <p>15.11 Information Technology and Organizational Performance Measurement 631</p> <p>15.12 Conclusion 639</p> <p><b>16 Human Supervisory Control 645<br /> </b><i>Thomas B. Sheridan</i></p> <p>16.1 Introduction 645</p> <p>16.2 Task Analysis and Function Allocation 648</p> <p>16.3 The Phases of Supervisory Control 652</p> <p>16.4 Examples of Supervisory Control Applications and Problems 662</p> <p>16.5 Adaptive Automation 674</p> <p>16.6 Overview Considerations of Supervisory Control 676</p> <p>16.7 Conclusion 685</p> <p><b>17 Designing for Cognitive Task Performance 691<br /> </b><i>Judith M. Orasanu and Michael G. Shafto</i></p> <p>17.1 Introduction 691</p> <p>17.2 Cognitive Constraints on System Design 693</p> <p>17.3 Reduction to Practice 705</p> <p>17.4 Conclusion 715</p> <p><b>18 Modeling Organizational and Individual Decision Making 723<br /> </b><i>Kathleen M. Carley and Terrill L. Frantz</i></p> <p>18.1 Introduction 723</p> <p>18.2 Computational Organization Theory 726</p> <p>18.3 Modeling the Individual 730</p> <p>18.4 Modeling the Organization 741</p> <p>18.5 Computational Tools 745</p> <p>18.6 Implications for Systems Engineering and Management 747</p> <p>18.7 Conclusion 748</p> <p><b>19 Organizational Simulation 763<br /> </b><i>William B. Rouse and Douglas A. Bodner</i></p> <p>19.1 Introduction 763</p> <p>19.2 Scope of Organizational Simulation 764</p> <p>19.3 State of the Art 766</p> <p>19.4 Case Studies 768</p> <p>19.5 Conclusion 790</p> <p><b>20 Organizational Change: The Role of Culture and Leadership 793<br /> </b><i>Charles S. Harris, Betty K. Hart, and Joyce Shields</i></p> <p>20.1 Introduction 793</p> <p>20.2 Setting the Context: Culture 795</p> <p>20.3 The Role of Leadership 800</p> <p>20.4 Applying the Change Model 804</p> <p>20.5 Profiles in Change 824</p> <p>20.6 Conclusion 831</p> <p><b>21 Model-Based Design of Human Interaction with Complex Systems 837<br /> </b><i>Christine M. Mitchell and David W. Roberts</i></p> <p>21.1 Introduction 837</p> <p>21.2 Human Interaction with Complex Systems: The Systems, Tasks, and Users 837</p> <p>21.3 Emerging Technology and Design 838</p> <p>21.4 Human–System Interaction Issues 840</p> <p>21.5 Model-Based Design: Operator 847</p> <p>21.6 Model-Based Design Using the Operator Function Model 860</p> <p>21.7 Ofm-Based Design: Illustrative Applications 875</p> <p>21.8 Team-OFM 889</p> <p>21.9 Basic Research and Operational Relevance to Real-World Design 894</p> <p>21.10 Conclusion 899</p> <p><b>22 Evaluation of Systems 909<br /> </b><i>James M. Tien</i></p> <p>22.1 Introduction 909</p> <p>22.2 Evaluation Field 910</p> <p>22.3 Evaluation Framework 911</p> <p>22.4 Evaluation Design Elements 914</p> <p>22.5 Evaluation Modeling 918</p> <p>22.6 Conclusion 920</p> <p><b>23 Systems Reengineering 923<br /> </b><i>Andrew P. Sage</i></p> <p>23.1 Introduction 923</p> <p>23.2 Definition of and Perspectives on Reengineering 925</p> <p>23.3 Overview of Reengineering Approaches 931</p> <p>23.4 Conclusion 1013</p> <p><b>24 Issue Formulation 1027<br /> </b><i>James E. Armstrong, Jr.</i></p> <p>24.1 Introduction: Problem and Issue Formulation 1027</p> <p>24.2 Situation Assessment 1027</p> <p>24.3 Problem or Issue Identification 1032</p> <p>24.4 Value System Design 1043</p> <p>24.5 Iteration of The Design 1053</p> <p>24.6 Generation of Potential Alternatives or System Synthesis 1070</p> <p>24.7 Alternatives and Feasibility Studies 1082</p> <p>24.8 Conclusion 1085</p> <p><b>25 Functional Analysis 1091<br /> </b><i>Dennis M. Buede</i></p> <p>25.1 Introduction 1091</p> <p>25.2 Elements of Functional Analysis 1091</p> <p>25.3 Functional Decomposition 1092</p> <p>25.4 The Systems Engineering Requirements Statement and Functional Analysis 1096</p> <p>25.5 Diagrams and Software for Functional Analysis 1109</p> <p>25.6 Conclusion 1125</p> <p><b>26 Methods for the Modeling and Analysis of Alternatives 1127<br /> </b><i>C. Els Van Daalen, Wil A. H. Thissen, Alexander Verbraeck, and Pieter W. G. Bots</i></p> <p>26.1 Introduction 1127</p> <p>26.2 Quantitative Models and Methods 1128</p> <p>26.3 Physical System Models 1134</p> <p>26.4 System Dynamics 1141</p> <p>26.5 Discrete-Event Simulation Models 1145</p> <p>26.6 Agent-Based Models 1150</p> <p>26.7 Economic Models of Costs and Benefits 1155</p> <p>26.8 Evaluation and Discussion 1161</p> <p><b>27 Operations Research and Refinement of Courses of Action 1171<br /> </b><i>Keith W. Hipel, D. Marc Kilgour, Siamak Rajabi, and Ye Chen</i></p> <p>27.1 Introduction 1171</p> <p>27.2 Operations Research 1171</p> <p>27.3 Operations Research and Systems Engineering 1176</p> <p>27.4 Operations Research Methods 1178</p> <p>27.5 Generating and Screening Actions 1189</p> <p>27.6 Multiple-Criteria Decision Making 1192</p> <p>27.7 Multiple-Participant Decision Making 1202</p> <p>27.8 Heuristic Programming 1210</p> <p>27.9 Conclusions 1214</p> <p><b>28 Decision Analysis 1223<br /> </b><i>Craig W. Kirkwood</i></p> <p>28.1 Introduction 1223</p> <p>28.2 Structuring Objectives 1223</p> <p>28.3 Developing Alternatives 1228</p> <p>28.4 Value Analysis 1232</p> <p>28.5 Decisions With Uncertainty 1238</p> <p>28.6 Multiple Objectives and Uncertainty 1245</p> <p>28.7 Decision Analysis Software 1246</p> <p>28.8 Conclusion 1247</p> <p><b>29 Project Planning: Planning for Action 1251<br /> </b><i>Ruth Buys</i></p> <p>29.1 Introduction 1251</p> <p>29.2 Network-Based Systems Planning and Project Management 1253</p> <p>29.3 Pricing and Estimating 1256</p> <p>29.4 Risk and Cost Control 1260</p> <p>29.5 Maintenance and Support 1267</p> <p>29.6 Software for Planning Support 1269</p> <p>29.7 Presentation and Communication of Results of Systems Planning 1272</p> <p>29.8 Project Planning Pitfalls 1275</p> <p>29.9 Conclusion 1279</p> <p><b>30 Complex Adaptive Systems in Systems Engineering and Management 1283<br /> </b><i>Sarah Sheard</i></p> <p>30.1 Introduction 1283</p> <p>30.2 Order: Newtonian and Mechanical Systems 1286</p> <p>30.3 History and Principles of Chaos 1289</p> <p>30.4 Between Order and Chaos 1291</p> <p>30.5 Complexity and Complex Systems 1292</p> <p>30.6 Complex Adaptive Systems 1294</p> <p>30.7 Small Worlds, Scale-Free Networks, Power Laws, and Evolving Fitness Landscapes 1297</p> <p>30.8 Principles of Complex Systems for Systems Engineering 1303</p> <p>30.9 Principles for Management of Complex Adaptive Systems Engineering Efforts 1309</p> <p>30.10 Conclusion 1315</p> <p><b>31 Human Systems Integration 1319<br /> </b><i>Harold R. Booher, Robert J. Beaton, and Frances Greene</i></p> <p>31.1 Introduction 1319</p> <p>31.2 HSI Concept 1320</p> <p>31.3 HSI Assessment Principles and Factors 1326</p> <p>31.4 HSI Business Case 1332</p> <p>31.5 HSI Process in Systems Engineering 1339</p> <p>31.6 Conclusion 1355</p> <p><b>32 Model-Based Systems Engineering 1361<br /> </b><i>David W. Oliver, James F. Andary, and Harold Frisch</i></p> <p>32.1 Introduction 1361</p> <p>32.2 A Selected History of The Modeling of Systems 1364</p> <p>32.3 A Semantic Glossary and Model for Systems Engineering Concepts 1370</p> <p>32.4 Product Data Management 1393</p> <p>32.5 Ontologies 1396</p> <p>32.6 Conclusion 1398</p> <p><b>33 Using the Design Structure Matrix to Design Program Organizations 1401<br /> </b><i>Tyson R. Browning</i></p> <p>33.1 Introduction 1401</p> <p>33.2 A Framework for Organizational Integration 1403</p> <p>33.3 Organizational Integration Analysis with the Design Structure Matrix 1405</p> <p>33.4 A Systematic Approach to Designing Programs for organizational Integration 1413</p> <p>33.5 Implementation barriers 1420</p> <p>33.6 Conclusion 1420</p> <p><b>34 Information Technology and Knowledge Management 1425<br /> </b><i>William B. Rouse and Andrew P. Sage</i></p> <p>34.1 Introduction 1425</p> <p>34.2 Trends 1428</p> <p>34.3 Scenarios 1433</p> <p>34.4 Eleven Challenges 1437</p> <p>34.5 Ecological Approaches to the Challenges 1450</p> <p>34.6 Conclusion 1457</p> <p>References 1457</p> <p><b>Index 1463</b></p>
<b>Andrew P. Sage</b>, PhD, became the First American Bank Professor of Information Technology and Engineering at George Mason University and the first Dean of the School of Information Technology and Engineering. Dr. Sage is a member of the National Academy of Engineering, as well as a Fellow of the IEEE, the American Association for the Advancement of Science, and INCOSE. He is the Editor of the <i>Wiley Series in Systems Engineering and Management</i> and of Wiley's <i>Journal of Systems Engineering</i>. <p><b>William B. Rouse</b>, PhD, is a professor in the School of Industrial and Systems Engineering at the Georgia Institute of Technology and holds a joint appointment within the College of Computing. He also serves as Executive Director of the Tennenbaum Institute, a campus-wide research center focused on complex organizational systems. Dr. Rouse is a member of the National Academy of Engineering, as well as a Fellow of the IEEE, the International Council on Systems Engineering, the Institute for Operations Research and the Management Sciences, and the Human Factors and Ergonomics Society.</p>
<b>The trusted handbook—now in a new edition</b> <p>This newly revised handbook presents a multifaceted view of systems engineering from process and systems management perspectives. It begins with a comprehensive introduction to the subject and provides a brief overview of the thirty-four chapters that follow. This introductory chapter is intended to serve as a "field guide" that indicates why, when, and how to use the material that follows in the handbook.</p> <p>Topical coverage includes: systems engineering life cycles and management; risk management; discovering system requirements; configuration management; cost management; total quality management; reliability, maintainability, and availability; concurrent engineering; standards in systems engineering; system architectures; systems design; systems integration; systematic measurements; human supervisory control; managing organizational and individual decision-making; systems reengineering; project planning; human systems integration; information technology and knowledge management; and more.</p> <p>The handbook is written and edited for systems engineers in industry and government, and to serve as a university reference handbook in systems engineering and management courses. By focusing on systems engineering processes and systems management, the editors have produced a long-lasting handbook that will make a difference in the design of systems of all types that are large in scale and/or scope.</p>

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