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Sinopsis
Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term "Risk Engineering" introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current.
Features
- Discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics
- Highlights how AI can present new and unique ways of failure that need to be addressed
- Extends the term "Risk Engineering" introduced by the first edition to Complex Systems in this new edition
- Relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition
- Includes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more current
The audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dr. John X. Wang has served as a Functional Safety Expert at Ford Motor Company and a Technical Director at Capgemini. As Senior Principal Functional Safety Engineer at Flex, Dr. Wang has been spotlighted as Employee of the Month by “Under the Hood”, the online magazine published by Flex Automotive to employees around the Globe. Dr. Wang has authored/coauthored numerous books and papers on reliability engineering, risk engineering, engineering decision-making under uncertainty, robust design and Six Sigma, lean manufacturing, green electronics manufacturing, cellular manufacturing, and industrial design engineering - inventive problem-solving. As a recognized inventor, Dr. Wang has been granted two Patents related to Risk Engineering by the US Patent and Trademark Office.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialCRC Press
- Año de publicación2023
- ISBN 10 1032442107
- ISBN 13 9781032442105
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición2
- Número de páginas264
- Contacto del fabricanteno disponible
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term 'Risk Engineering' introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current. FeaturesDiscusses Risk Engineering and how to deal with System Complexity and Engineering DynamicsHighlights how AI can present new and unique ways of failure that need to be addressedExtends the term 'Risk Engineering' introduced by the first edition to Complex Systems in this new editionRelates Decision Tree which was explored in the first edition to Fault Diagnosis in the new editionIncludes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more currentThe audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students. 266 pp. Englisch. Nº de ref. del artículo: 9781032442105
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term 'Risk Engineering' introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current. FeaturesDiscusses Risk Engineering and how to deal with System Complexity and Engineering DynamicsHighlights how AI can present new and unique ways of failure that need to be addressedExtends the term 'Risk Engineering' introduced by the first edition to Complex Systems in this new editionRelates Decision Tree which was explored in the first edition to Fault Diagnosis in the new editionIncludes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more currentThe audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students. Nº de ref. del artículo: 9781032442105
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