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Design decisions under uncertainty w...

Nikolaidis, Efstratios.

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Design decisions under uncertainty with limited information

Record Type:	Electronic resources : Monograph/item
Title/Author:	Design decisions under uncertainty with limited information/ Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
Author:	Nikolaidis, Efstratios.
other author:	Mourelatos, Zissimos P.
Published:	Leiden, Netherlands :CRC Press/Balkema, : c2011.,
Description:	1 online resource :ill.
[NT 15003449]:	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 dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.
Subject:	Engineering design. -
Online resource:	http://www.crcnetbase.com/isbn/9780415492478

Design decisions under uncertainty with limited information
Nikolaidis, Efstratios.

Design decisions under uncertainty with limited information[electronic resource] /Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey. - Leiden, Netherlands :CRC Press/Balkema,c2011. - 1 online resource :ill. - Structures and infrastructures series,v. 71747-7735 ;. - Structures and infrastructures series ;v. 5..

Includes bibliographical references and index.

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 dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.

"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"--Subjects--Topical Terms:

592825
Engineering design.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TA174 / .N55 2011

Dewey Class. No.: 620/.0042

Design decisions under uncertainty with limited information
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007 cr |||||||||||
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020 $z 9780415492478 (hbk.)
020 $z 0415492475 (hbk.)
020 $a 9780203834985 (electronic bk.)
020 $a 0203834984 (electronic bk.)
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035 $a 1902337
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050 1 4 $a TA174 $b .N55 2011
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100 1 $a Nikolaidis, Efstratios. $3 1602046
245 1 0 $a Design decisions under uncertainty with limited information $h [electronic resource] / $c Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
260 $a Leiden, Netherlands : $b CRC Press/Balkema, $c c2011.
300 $a 1 online resource : $b ill.
490 1 $a Structures and infrastructures series, $x 1747-7735 ; $v v. 7
504 $a Includes bibliographical references and index.
505 0 $a 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 dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.
520 $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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Engineering design. $3 592825
650 0 $a Decision making. $3 517204
650 0 $a Reliability (Engineering) $3 647853
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Mourelatos, Zissimos P. $3 2018562
700 1 $a Pandey, Vijitashwa. $3 2018563
830 0 $a Structures and infrastructures series ; $v v. 5. $3 3652316
856 4 0 $u http://www.crcnetbase.com/isbn/9780415492478