Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterpri

Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterprise.

System of Systems Modeling and Analysis provides the reader with motivation, theory, methodology, and examples of modeling and analysis for system of system (SoS) problems. In addition to theory, this book contains history and conceptual definitions, as well as the theoretical fundamentals of SoS modeling and analysis. It then describes methods for SoS modeling and analysis, including use of existing methodology and original work, specifically oriented to SoS. Providing a bridge between theory and practice for modeling and analysis of SoS, this book includes generalized concepts and Methods, Tools, and Processes (MTP) applicable to SoS across any application domain. Examples of application from various fields will be used to provide a practical demonstration of the use of the methodologies. Features Offers a modern presentation of SoS principles and guided description of applying a modeling and analysis process to SoS engineering Provides additional modeling approaches useful for SoS engineering, including agent-based modeling Covers the current gap in literature between theory and modeling/application Features examples of applications from various fields, such as energy grids and regional transportation Includes questions, examples, and exercises at the end of each chapter This book is intended for senior undergraduate students in engineering programs studying SoS modeling, SoS analysis, and SoS engineering courses. Professional engineers will also benefit from MTP and examples as a baseline for specific user applications.

This book introduces fundamental concepts of cyber resilience, drawing expertise from academia, industry, and government. Resilience is defined as the ability to recover from or easily adjust to shocks and stresses. Unlike the concept of security - which is often and incorrectly conflated with resilience -- resilience refers to the system's ability to recover or regenerate its performance after an unexpected impact produces a degradation in its performance. A clear understanding of distinction between security, risk and resilience is important for developing appropriate management of cyber threats. The book presents insightful discussion of the most current technical issues in cyber resilience, along with relevant methods and procedures. Practical aspects of current cyber resilience practices and techniques are described as they are now, and as they are likely to remain in the near term. The bulk of the material is presented in the book in a way that is easily accessible to non-specialists. Logical, consistent, and continuous discourse covering all key topics relevant to the field will be of use as teaching material as well as source of emerging scholarship in the field. A typical chapter provides introductory, tutorial-like material, detailed examples, in-depth elaboration of a selected technical approach, and a concise summary of key ideas.

The ASQ Certified Quality Engineer Handbook, Fifth Edition, covers a wide range of topics in the quality engineering field and is organized to align with the 2022 ASQ Certified Quality Engineer (CQE) Body of Knowledge (BoK). This handbook is essential for candidates preparing for the ASQ CQE examination. For working engineers, it is a convenient and thorough guide to the profession. In addition to providing detailed explanations of each section of the 2022 CQE BoK, this current edition includes: • An explanation of cost-benefit analysis (CBA) and the RACI matrix; critical to quality as a design input; hazard analysis and FMEA; overall equipment effectiveness (OEE); 5 Whys analysis; data automation and database integration; and assessing risk in audit planning and implementation • New chapter on risk management • Appendices and a Glossary of Terms for reference purposes Content in this fifth edition has been restructured to provide tools and concepts that match the 2022 CQE BoK, as well as improved textbook and journal article references throughout the entire book. This handbook also provides case studies that give readers a broader context for real-life scenarios and applications.

A comprehensive reference manual to the Certified Quality Engineer Body of Knowledge and study guide for the CQE exam.

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to