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Denney / Dixon / Shushkov

Competency-Based Engineering Project Management

A Handbook for Managing Technical Projects

Medium: Buch
ISBN: 978-1-394-39584-2
Verlag: Wiley
Erscheinungstermin: 27.07.2026
vorbestellbar, Erscheinungstermin ca. Juli 2026

A competency-based framework for leading complex engineering projects

Engineering projects require leadership that integrates technical depth with strategic management. This handbook provides a structured, competency-based framework designed specifically for high-pressure technical environments. Unlike traditional textbooks, this guide offers a non-sequential model for practitioners to find immediate, actionable answers to complex challenges.

It bridges the gap between standards and implementation, focusing on the core competencies essential for project success—from Project Controls to Knowledge Management. Whether you are an engineer transitioning into management or a veteran lead, this resource provides the technical specifics and leadership strategies needed to deliver value, manage high uncertainty, and align project outcomes with global strategic organizational goals. It is the essential reference for those seeking to enhance professional skills in a knowledge-intensive landscape.

Readers will also find: - Practitioner-Focused Design: Jump directly to the competency you need; every chapter is self-contained with curated reading lists for deeper study
- Integrated AI Guidance: Navigate the impact of artificial intelligence, IoT, and blockchain woven throughout the project lifecycle—grounded in engineering practice
- Engineering-Specific Mastery: Focus on Intellectual Property, Configuration Management, and Value Engineering—critical competencies often missing from generic project management frameworks
- 130+ Years of Collective Expertise: Leverage actionable strategies validated by a globally diverse editorial team and over 30 subject matter experts

Designed for engineering project managers and technical leads, this handbook connects competency-based frameworks with actionable strategies. It equips professionals to lead multidisciplinary teams through complex lifecycles while navigating the legal, ethical, and technological shifts reshaping the global landscape of modern engineering projects.


Produkteigenschaften


  • Artikelnummer: 9781394395842
  • Medium: Buch
  • ISBN: 978-1-394-39584-2
  • Verlag: Wiley
  • Erscheinungstermin: 27.07.2026
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2026
  • Produktform: Gebunden
  • Gewicht: 816 g
  • Seiten: 448
  • Format (B x H x T): 161 x 231 x 30 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

List of Figures xx

List of Tables xxiv

List of Contributors xxv

About the Authors and Editors xxvii

Preface xxix

Acknowledgments xxxiii

1 Introduction 1
Artem Shushkov, CPEM and Valerie P. Denney, DBA, PMP

1.1 Purpose of This Handbook 1

1.2 EPMgrs Are Unique 1

1.3 Engineering Project 2

1.4 The Evolving Landscape of Project Management 4

1.5 Interrelations Between R&D, Technology, Engineering, and Innovation 5

1.6 Role of Technology in Corporate Competitiveness 7

1.7 The Handbook: Competency Previews 9

1.8 How the Handbook Is Organized 13

Acronyms 14

Glossary 14

References 16

Recommended Reading List 16

2 Life Cycle Models and Tailoring 17
Artem Shushkov, CPEM

2.1 Introduction 17

2.2 Fundamental Concepts 18

2.3 Comparing Popular Life Cycle Models 19

2.4 Selecting the Right Model: Key Factors 25

2.5 Scaling Models to Specific Project Needs 26

Acronyms 28

Glossary 28

References 30

Recommended Reading List 31

3 Project Controls 33
Artem Shushkov, CPEM and Terry R. Collins, PhD, PE, CPEM

3.1 Introduction 33

3.2 Quantitative Tools and Techniques 33

3.3 Qualitative Tools and Techniques 34

3.4 Fundamental Concepts 34

3.5 Artificial Intelligence in Project Controls 47

3.6 Global Considerations for Project Controls 47

3.7 Inter-competency Linkages 48

3.8 Practical Applications and/or Case Studies 49

Acronyms 51

Glossary 51

References 54

Recommended Reading List 55

4 Financial Management 57
Artem Shushkov, CPEM

4.1 Introduction 57

4.2 Quantitative Tools and Techniques 57

4.3 Qualitative Tools and Techniques 58

4.4 Fundamental Concepts of Project Selection 58

4.5 Artificial Intelligence in Financial Management 86

4.6 Global Considerations for Financial Management 87

4.7 Inter-competency Linkages 88

4.8 Practical Applications and/or Case Studies 88

Acronyms 91

Glossary 92

References 95

Recommended Reading List 96

5 Requirements Management 97
James Marion, PhD, RMP, PMP and Valerie P. Denney, DBA, PMP

5.1 Introduction 97

5.2 Quantitative Tools and Techniques 98

5.3 Qualitative Tools and Techniques 98

5.4 Fundamental Concepts 98

5.5 Artificial Intelligence in Requirements Management 117

5.6 Global Considerations for Requirement Management 118

5.7 Inter-competency Linkages 119

5.8 Practical Applications and/or Case Studies 120

Acronyms 124

Glossary 124

References 125

Recommended Reading List 127

6 Value Engineering 129
Artem Shushkov, CPEM

6.1 Introduction 129

6.2 Quantitative Tools and Techniques 129

6.3 Qualitative Tools and Techniques 130

6.4 Fundamental Concepts 130

6.5 Artificial Intelligence in Value Engineering 145

6.6 Global Considerations for Value Engineering 146

6.7 Inter-competency Linkages 147

6.8 Practical Applications and/or Case Studies 147

Acronyms 148

Glossary 149

References 151

Recommended Reading List 153

7 Risk and Safety Management 155
James Marion, PhD, RMP, PMP and Valerie P. Denney, DBA, PMP

7.1 Introduction 155

7.2 Quantitative Tools and Techniques 156

7.3 Qualitative Tools and Techniques 156

7.4 Fundamental Concepts 156

7.5 Artificial Intelligence in Risk and Safety Management 183

7.6 Global Considerations for Risk and Safety Management 184

7.7 Inter-competency Linkages 185

7.8 Practical Applications and/or Case Studies 185

Acronyms 188

Glossary 189

References 190

Recommended Reading List 192

8 Leadership 193
Gene Dixon, PhD, CPEM, FASEM and Daryl Watkins, DM, PMP, PCC

8.1 Introduction 193

8.2 Quantitative Tools and Techniques 194

8.3 Qualitative Tools and Techniques 194

8.4 Fundamental Concepts 194

8.5 Artificial Intelligence in Leadership 207

8.6 Global Considerations in Leadership 208

8.7 Inter-competency Linkages 209

8.8 Practical Applications and/or Case Studies 210

Acronyms 211

Glossary 211

References 212

Recommended Reading List 215

9 Communications 217
Gene Dixon, PhD, CPEM, FASEM

9.1 Introduction 217

9.2 Qualitative Tools and Techniques 218

9.3 Fundamental Concepts 218

9.4 Artificial Intelligence in Communications 240

9.5 Global Considerations for Communication 241

9.6 Inter-competency Linkages 244

9.7 Practical Applications and/or Case Studies 244

Acronyms 245

Glossary 245

References 247

Recommended Reading List 248

10 Configuration Management 249
Gene Dixon, PhD, CPEM, FASEM

10.1 Introduction 249

10.2 Quantitative Tools and Techniques 249

10.3 Qualitative Tools and Techniques 250

10.4 Fundamental Concepts 250

10.5 Artificial Intelligence in cm 261

10.6 Global Considerations for cm 262

10.7 Inter-competency Linkages 263

10.8 Practical Applications 263

Acronyms 264

Glossary 265

References 266

Recommended Reading List 267

11 Resource Management 269
Artem Shushkov, CPEM

11.1 Introduction 269

11.2 Quantitative Tools and Techniques 269

11.3 Qualitative Tools and Techniques 269

11.4 Fundamental Concepts 270

11.5 Artificial Intelligence in Resource Management 282

11.6 Global Considerations for Resource Management 283

11.7 Inter-competency Linkages 284

11.8 Practical Applications and/or Case Studies 284

Acronyms 285

Glossary 286

References 288

Recommended Reading List 290

12 Quality Management 291
James Marion, PhD, PMP, PMI-RMP and Valerie P. Denney, DBA, PMP

12.1 Introduction 291

12.2 Quantitative Tools and Techniques 291

12.3 Qualitative Tools and Techniques 292

12.4 Fundamental Concepts 292

12.5 Artificial Intelligence in QM 310

12.6 Global Considerations for QM 311

12.7 Inter-competency Linkages 312

12.8 Practical Applications and/or Case Studies 312

Acronyms 315

Glossary 316

References 318

Recommended Reading List 320

13 Ethics and Professional Responsibility 321
Valerie P. Denney, DBA, PMP

13.1 Introduction 321

13.2 Qualitative Tools and Techniques 322

13.3 Fundamental Concepts 322

13.4 Artificial Intelligence in Ethics and Professional Responsibility 328

13.5 Global Considerations Ethics and Professional Responsibility 329

13.6 Inter-competency Linkages 330

13.7 Practical Applications and/or Case Studies 330

Acronyms 332

Glossary 333

References 333

Recommended Reading List 335

14 Regulatory Responsibility and Intellectual Property Management 337
Artem Shushkov, CPEM

14.1 Introduction 337

14.2 Quantitative Tools and Techniques 337

14.3 Qualitative Tools and Techniques 338

14.4 Fundamental Concepts 338

14.5 Artificial Intelligence in Regulatory Responsibility and IP Management 362

14.5.1 Artificial Intelligence in Regulatory Responsibility 362

14.5.2 Artificial Intelligence in IP Management 363

14.6 Global Considerations for Regulatory Responsibility and IP Management 364

14.7 Inter-competency Linkages 367

14.8 Practical Applications and/or Case Studies 367

Acronyms 369

Glossary 370

References 372

Recommended Reading List 374

15 Knowledge Management 375
Artem Shushkov, CPEM

15.1 Introduction 375

15.2 Quantitative Tools and Techniques 375

15.3 Qualitative Tools and Techniques 376

15.4 Fundamental Concepts 376

15.5 Artificial Intelligence in KM 389

15.6 Global Considerations for KM 390

15.7 Inter-competency Linkages 391

15.8 Practical Applications and/or Case Studies 392

Acronyms 393

Glossary 393

References 394

Recommended Reading List 395

Appendix A - Summary of Generative Artificial Intelligence Sections 397

Appendix B - Summary of Case Studies and Practical Applications 401

Appendix C - Summary of Global Considerations 405

Index 409