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Risk-based Systems Analysis for Emerging Technologies

Risk-based Systems Analysis for Emerging Technologies PDF Author: M. J. Quadrel
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Risk-based Systems Analysis for Emerging Technologies

Risk-based Systems Analysis for Emerging Technologies PDF Author: M. J. Quadrel
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Risk-based Systems Analysis of Emerging High-level Waste Tank Remediation Technologies

Risk-based Systems Analysis of Emerging High-level Waste Tank Remediation Technologies PDF Author: B. B. Peters
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Risk-based Systems Analysis of Emerging High-level Waste Tank Remediation Technologies

Risk-based Systems Analysis of Emerging High-level Waste Tank Remediation Technologies PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Risk Modeling, Assessment, and Management

Risk Modeling, Assessment, and Management PDF Author: Yacov Y. Haimes
Publisher: John Wiley & Sons
ISBN: 1119018013
Category : Technology & Engineering
Languages : en
Pages : 720

Book Description
Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management This book examines risk analysis, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions, organizations, and policy. The author presents fundamental concepts (hierarchical holographic modeling; state space; decision analysis; multi-objective trade-off analysis) as well as advanced material (extreme events and the partitioned multi-objective risk method; multi-objective decision trees; multi-objective risk impact analysis method; guiding principles in risk analysis); avoids higher mathematics whenever possible; and reinforces the material with examples and case studies. The book will be used in systems engineering, enterprise risk management, engineering management, industrial engineering, civil engineering, and operations research. The fourth edition of Risk Modeling, Assessment, and Management features: Expanded chapters on systems-based guiding principles for risk modeling, planning, assessment, management, and communication; modeling interdependent and interconnected complex systems of systems with phantom system models; and hierarchical holographic modeling An expanded appendix including a Bayesian analysis for the prediction of chemical carcinogenicity, and the Farmer’s Dilemma formulated and solved using a deterministic linear model Updated case studies including a new case study on sequential Pareto-optimal decisions for emergent complex systems of systems A new companion website with over 200 solved exercises that feature risk analysis theories, methodologies, and application Risk Modeling, Assessment, and Management, Fourth Edition, is written for both undergraduate and graduate students in systems engineering and systems management courses. The text also serves as a resource for academic, industry, and government professionals in the fields of homeland and cyber security, healthcare, physical infrastructure systems, engineering, business, and more.

Emerging Technological Risk

Emerging Technological Risk PDF Author: Stuart Anderson
Publisher: Springer Science & Business Media
ISBN: 1447121422
Category : Technology & Engineering
Languages : en
Pages : 195

Book Description
Classes of socio-technical hazards allow a characterization of the risk in technology innovation and clarify the mechanisms underpinning emergent technological risk. Emerging Technological Risk provides an interdisciplinary account of risk in socio-technical systems including hazards which highlight: · How technological risk crosses organizational boundaries, · How technological trajectories and evolution develop from resolving tensions emerging between social aspects of organisations and technologies and · How social behaviour shapes, and is shaped by, technology. Addressing an audience from a range of academic and professional backgrounds, Emerging Technological Risk is a key source for those who wish to benefit from a detail and methodical exposure to multiple perspectives on technological risk. By providing a synthesis of recent work on risk that captures the complex mechanisms that characterize the emergence of risk in technology innovation, Emerging Technological Risk bridges contributions from many disciplines in order to sustain a fruitful debate. Emerging Technological Risk is one of a series of books developed by the Dependability Interdisciplinary Research Collaboration funded by the UK Engineering and Physical Sciences Research Council.

Risk Modeling, Assessment, and Management

Risk Modeling, Assessment, and Management PDF Author: Yacov Y. Haimes
Publisher: John Wiley & Sons
ISBN: 1119017998
Category : Technology & Engineering
Languages : en
Pages : 714

Book Description
Presents systems-based theory, methodology, and applications in risk modeling, assessment, and management This book examines risk analysis, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions, organizations, and policy. The author presents fundamental concepts (hierarchical holographic modeling; state space; decision analysis; multi-objective trade-off analysis) as well as advanced material (extreme events and the partitioned multi-objective risk method; multi-objective decision trees; multi-objective risk impact analysis method; guiding principles in risk analysis); avoids higher mathematics whenever possible; and reinforces the material with examples and case studies. The book will be used in systems engineering, enterprise risk management, engineering management, industrial engineering, civil engineering, and operations research. The fourth edition of Risk Modeling, Assessment, and Management features: Expanded chapters on systems-based guiding principles for risk modeling, planning, assessment, management, and communication; modeling interdependent and interconnected complex systems of systems with phantom system models; and hierarchical holographic modeling An expanded appendix including a Bayesian analysis for the prediction of chemical carcinogenicity, and the Farmer’s Dilemma formulated and solved using a deterministic linear model Updated case studies including a new case study on sequential Pareto-optimal decisions for emergent complex systems of systems A new companion website with over 200 solved exercises that feature risk analysis theories, methodologies, and application Risk Modeling, Assessment, and Management, Fourth Edition, is written for both undergraduate and graduate students in systems engineering and systems management courses. The text also serves as a resource for academic, industry, and government professionals in the fields of homeland and cyber security, healthcare, physical infrastructure systems, engineering, business, and more.

Radioactive Waste Management

Radioactive Waste Management PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 544

Book Description


Advanced Risk Analysis in Engineering Enterprise Systems

Advanced Risk Analysis in Engineering Enterprise Systems PDF Author: Cesar Ariel Pinto
Publisher: CRC Press
ISBN: 1000755657
Category : Business & Economics
Languages : en
Pages : 467

Book Description
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

Emerging Technologies for Innovation Management in the Software Industry

Emerging Technologies for Innovation Management in the Software Industry PDF Author: Gupta, Varun
Publisher: IGI Global
ISBN: 1799890619
Category : Computers
Languages : en
Pages : 282

Book Description
Innovation is the key to maintain competitive advantage. Innovation in products, processes, and business models help companies to provide economic value to their customers. Identifying the innovative ideas, implementing those ideas, and absorbing them in the market requires investing many resources that could incur large costs. Technology encourages companies to foster innovation to remain competitive in the marketplace. Emerging Technologies for Innovation Management in the Software Industry serves as a resource for technology absorption in companies supporting innovation. It highlights the role of technology to assist software companies—especially small start-ups—to innovate their products, processes, and business models. This book provides the necessary guidelines of which tools to use and under what situations. Covering topics such as risk management, prioritization approaches, and digitally-enabled innovation processes, this premier reference source is an ideal resource for entrepreneurs, software developers, software managers, business leaders, engineers, students and faculty of higher education, researchers, and academicians.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance PDF Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.