Last edited by Migrel
Sunday, October 18, 2020 | History

1 edition of Scenario logic and probabilistic management of risk in business and engineering found in the catalog.

Scenario logic and probabilistic management of risk in business and engineering

E. D. Solozhentпё sпёЎev

Scenario logic and probabilistic management of risk in business and engineering

by E. D. Solozhentпё sпёЎev

  • 387 Want to read
  • 6 Currently reading

Published by Springer in New York .
Written in English


Edition Notes

Includes bibliographical references (p. 435-443) and index.

Statementby Evgueni D. Solojentsev
SeriesSpringer optimization and its applications -- v. 20, Springer optimization and its applications -- v. 20.
Classifications
LC ClassificationsHD31 .S6127 2009
The Physical Object
Paginationxxx, 449 p. :
Number of Pages449
ID Numbers
Open LibraryOL24418582M
ISBN 100387779450
ISBN 109780387779454
LC Control Number2008938965
OCLC/WorldCa231895298

  This book presents a non-quantitative, highly accessible, case-study approach to enterprise risk ed for every financial professional, it offers unprecedented insight into the processes and strategies that have proven successful at the world's leading companies. The authors introduce the field of enterprise risk management, offer a concise overview of the contemporary. In the past few months I have received a number of enquiries about a subject that, truth be told, I have hardly addressed here, which is the use of scenario analysis in operational risk. Particu Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

Our project risk management software helps you align strategy with operations. By giving you an enterprise view of your risk at all times, LogicManager drastically reduces the time and money you spend on project management, and helps you prove your impact on the company’s success. Overview of Risk Analysis for Engineered Systems Application Areas Probabilistic risk assessment provides a body of practical techniques that can help engineers and risk managers to predict and manage risks (i.e., frequencies and severities of adverse consequences) in a variety of complex engineered systems. Examples of the types of systems to.

Completely updated and revised, this modern, computer-based text. helps develop synthesis and analysis methods for risk and reliability studies from fundamental principles, and apply them to realistic industrial-level problems. The full treatment of qualitative analysis methods includes: fault trees, FMEA, event trees, decision labels, cause-consequence charts and common-mode failures. Scenario Logic and Probabilistic Management of Risk in Business and Engineering Applied Optimization Volume 93 Series Editors: Panos M. Pardalos University of Florida, U.S.A. Donald W. Hearn University of Florida, U.S.A. Scenario Logic and Probabilistic Management of Risk in Business and Engineering by.


Share this book
You might also like
Master painters of Holland

Master painters of Holland

Energy efficiency in new housing

Energy efficiency in new housing

The technologists

The technologists

Occupational employment statistics, Federal government, New York State

Occupational employment statistics, Federal government, New York State

Model City of the New South

Model City of the New South

Workshop on Semiclassical Methods in Nuclear Physics, March 5th-8th, 1984, Grenoble, France

Workshop on Semiclassical Methods in Nuclear Physics, March 5th-8th, 1984, Grenoble, France

Sufferings of the Serbian people in the region of western Slavonija.

Sufferings of the Serbian people in the region of western Slavonija.

Health Service Commissioner for England.

Health Service Commissioner for England.

Introductory social psychology course

Introductory social psychology course

The birds and mammals of Pagham Harbour

The birds and mammals of Pagham Harbour

Time for romance.

Time for romance.

Classroom demonstrations of wood properties

Classroom demonstrations of wood properties

The black mans guide to good health

The black mans guide to good health

Scenario logic and probabilistic management of risk in business and engineering by E. D. Solozhentпё sпёЎev Download PDF EPUB FB2

The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics.

It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE). In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered.

The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered.

The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management.

"The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management. the book is intended for experts in the field of risk management in business, technical, economic and organisational systems at the stages of 5/5(1).

This book proposes a uniform logic and probabilistic (LP) strategy to danger estimation and evaluation in engineering and economics. It covers the methodological and theoretical foundation of danger administration on the design, check, and operation levels of financial, banking, and engineering methods with groups of incompatible occasions (GIE).

Get this from a library. Scenario logic and probabilistic management of risk in business and engineering. [E D Solozhent︠s︡ev] -- "In this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered.

The theoretical bases of scenario non-success risk LP-management in. "The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics.

It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE).

Find helpful customer reviews and review ratings for Scenario Logic and Probabilistic Management of Risk in Business and Engineering (Springer Optimization and Its Applications Book 20) at Read honest and unbiased product reviews from our users.5/5.

- Buy Scenario Logic and Probabilistic Management of Risk in Business and Engineering (Springer Optimization and Its Applications) book online at best prices in India on Read Scenario Logic and Probabilistic Management of Risk in Business and Engineering (Springer Optimization and Its Applications) book reviews & author details and more at Free delivery Author: Evgueni D.

Solojentsev. Full text of "Scenario logic and probabilistic management of risk in business and engineering" See other formats. SCENARIO LOGIC AND PROBABILISTIC MANAGEMENT OF RISK IN BUSINESS AND ENGINEERING. E.D.

Solojentsev. SPRINGER, Pages - p., Figures - 70; Tables - 40; Refers - The methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered, following from analysis of connections between management.

We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services. Abstract. The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics.

It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE).Author: Evgueni D Solojentsev.

The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and. The development of risk insights that can increase system safety and improve system performance requires the interpretation of scenario evolutions and the principal characteristics of the events that contribute to the risk.

For a given scenario dataset, it can be useful to identify the scenarios that have similar behaviors (i.e., identify the Cited by: probabilistic risk assessment PRA is a process of probabilistic evidential and inferential analysis of the response of events, systems, or activities to different challenges based on the fundamental rules of logic and plausible : Division on Earth.

Download PDF Scenario Logic and Probabilistic Management of Risk in Business and Engineering Springer FULL FREE.

Hetzron. Read Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research Read Books Risks in Technological Systems (Springer Series in Reliability Engineering) E-Book. Lannyabdullah. The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

A large part of academic literature, business literature as well as practices in real life are resting on the assumption that uncertainty and risk does not exist. We all know that this is not true, yet, a whole variety of methods, tools and practices are not attuned to the fact that the future is uncertain and that risks are all around us.

However, despite risk management entering the agenda Cited by: 4. These are the sources and citations used to research international business in Wal-mart.

Scenario logic and probabilistic management of risk in business and engineering - Springer - New York. In-text: (Solozhent︠s︡ev, ). Risk: The possibility of injury, loss or environmental injury created by a hazard.

The significance of risk is a function of the probability of an unwanted incident and the severity of its consequence. There are several features of these definitions worth noting: • Risk arises from hazards.In this article, we will introduce two additional techniques for risk assessment and reporting: Value-at-Risk assessment and scenario analysis.

Risk Assessment Besides the “ Greeks ” there are other techniques we can use to evaluate, report, and measure risk, namely, value-at .B. John Garrick, in Quantifying and Controlling Catastrophic Risks, The Scenario Approach to Quantitative Risk Assessment.

We now describe the scenario approach to QRA. To do this we introduce the term “scenario structuring” to describe the process of identifying, categorizing, and portraying the risk scenarios S i. Convenient categories, for example, are scenarios that originate.