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Design decisions under uncertainty with limited information

Record Type:	Electronic resources : monographic
Author:	NikolaidisEfstratios,
Secondary Intellectual Responsibility:	MourelatosZissimos P.,
Secondary Intellectual Responsibility:	PandeyVijitashwa,
Place of Publication:	Leiden, Netherlands
Published:	CRC Press/Balkema;
Year of Publication:	c2011
Description:	1 online resourceill :
Series:	Structures and infrastructures series
Subject:	Engineering design -
Subject:	Decision making -
Subject:	Reliability (Engineering) -
Subject:	Electronic books -
Online resource:	http://www.crcnetbase.com/isbn/978-0-415-49247-8
Notes:	Description based on print version record
Summary:	"Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty"--
ISBN:	hbk.
ISBN:	hbk.
ISBN:	9780203834985electronic bk.
ISBN:	0203834984electronic bk.
Content Note:	1. Design decision under uncertainty -- 2. Overview of theories of uncertainty and tools for modeling uncertainty -- 3. Objective probability -- 4. Statistical inference : constructing probabilistic models from observations -- 5. Probabilistic analysis of dyclmic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design

Design decisions under uncertainty with limited information
Nikolaidis, Efstratios

Design decisions under uncertainty with limited information / Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey - Leiden, Netherlands : CRC Press/Balkema, c2011. - 1 online resource ; ill. - (Structures and infrastructures series ; v. 7).
1. Design decision under uncertainty -- 2. Overview of theories of uncertainty and tools for modeling uncertainty -- 3. Objective probability -- 4. Statistical inference : constructing probabilistic models from observations -- 5. Probabilistic analysis of dyclmic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.
Description based on print version record.
Includes bibliographical references and index.
ISBN 9780203834985ISBN 0203834984
Engineering designDecision makingReliability (Engineering)Electronic books

Mourelatos, Zissimos P.

Design decisions under uncertainty with limited information
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330 $a "Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty"--
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