| Analytical Methods for Risk Management: A Systems Engineering Perspective Contributor(s): Garvey, Paul R. (Author) |
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ISBN: 1584886374 ISBN-13: 9781584886372 Publisher: CRC Press OUR PRICE: $152.00 Product Type: Hardcover - Other Formats Published: October 2008 Annotation: Successful engineering of today's large-scale, complex, and sophisticated systems requires deliberate, continuous attention to risk management. Providing a practical guide to implementation, Analytical Methods for Risk Management presents a comprehensive introduction to foundational processes and analytical practices in the management of risk from a systems engineering point of view. The book considers traditional systems and systems of systems that have evolved from a variety of engineering projects and developmental initiatives. Numerous examples and case studies illustrate how these principles have been applied in specific real-world systems engineering environments. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Technology & Engineering | Engineering (general) - Business & Economics | Quality Control |
| Dewey: 620.004 |
| LCCN: 2008012400 |
| Series: Statistics: A Series of Textbooks and Monographs |
| Physical Information: 0.8" H x 6.2" W x 9.3" (1.15 lbs) 282 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: A Text on the Foundation Processes, Analytical Principles, and Implementation Practices of Engineering Risk Management Drawing from the author's many years of hands-on experience in the field, Analytical Methods for Risk Management: A Systems Engineering Perspectivepresents the foundation processes and analytical practices for identifying, analyzing, measuring, and managing risk in traditional systems, systems-of-systems, and enterprise systems. Balances Risk and Decision Theory with Case Studies and Exercises After an introduction to engineering risk management, the book covers the fundamental axioms and properties of probability as well as key aspects of decision analysis, such as preference theory and risk/utility functions. It concludes with a series of essays on major analytical topics, including how to identify, write, and represent risks; prioritize risks in terms of their potential impacts on a systems project; and monitor progress when mitigating a risk's potential adverse effects. The author also examines technical performance measures and how they can combine into an index to track an engineering system's overall performance risk. In addition, he discusses risk management in the context of engineering complex, large-scale enterprise systems. Applies Various Methods to Risk Engineering and Analysis Problems This practical guide enables an understanding of which processes and analytical techniques are valid and how they are best applied to specific systems engineering environments. After reading this book, you will be on your way to managing risk on both traditional and advanced engineering systems. |