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Design decisions under uncertainty w...
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Mourelatos, Zissimos P.
Design decisions under uncertainty with limited information[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
620/.0042
書名/作者:
Design decisions under uncertainty with limited information/ Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
作者:
Nikolaidis, Efstratios.
其他作者:
Mourelatos, Zissimos P.
出版者:
Leiden, Netherlands : : CRC Press/Balkema,, c2011.
面頁冊數:
1 online resource : : ill.
標題:
Engineering design.
標題:
Decision making.
標題:
Reliability (Engineering) - Congresses.
ISBN:
9780203834985 (electronic bk.)
ISBN:
0203834984 (electronic bk.)
書目註:
Includes bibliographical references and index.
內容註:
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.
摘要、提要註:
"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"--
電子資源:
http://www.crcnetbase.com/isbn/978-0-415-49247-8
Design decisions under uncertainty with limited information[electronic resource] /
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:
176300
Engineering design.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: TA174 / .N55 2011
Dewey Class. No.: 620/.0042
Design decisions under uncertainty with limited information[electronic resource] /
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http://www.crcnetbase.com/isbn/978-0-415-49247-8
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