國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Product design." ]

切換: 標籤 | MARC模式 | ISBD

Multi-criteria decision analysis for...

Bahraminasab, Marjan,

Multi-criteria decision analysis for supporting the selection of engineering materials in product design

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-criteria decision analysis for supporting the selection of engineering materials in product designAli Jahan, Kevin L. Edwards, Marjan Bahraminasab.
作者:	Jahan, Ali,
其他作者:	Edwards, Kevin L.,
出版者:	Burlington :Butterworth-Heinemann is an imprint of Elsevier,2016.
面頁冊數:	1 online resource.
標題:	Product design.
電子資源:	https://www.sciencedirect.com/science/book/9780081005361
ISBN:	9780081005415 (electronic bk.)

Multi-criteria decision analysis for supporting the selection of engineering materials in product design
Jahan, Ali,

Multi-criteria decision analysis for supporting the selection of engineering materials in product design[electronic resource] /Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab. - Second edition. - Burlington :Butterworth-Heinemann is an imprint of Elsevier,2016. - 1 online resource.

Includes bibliographical references and index.

1 The importance of decision support in materials selection -- 2 Materials selection in the context of design problem-solving -- 3 Screening of materials -- 4 Multi-criteria decision-making for materials selection -- 5 Multi-attribute decision-making for ranking of candidate materials -- 6 Multiple objective decision-making for material and geometry design -- 7 Case studies of materials selection and design -- 8 Future developments.

Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material Provides a case study for simultaneous materials selection and geometrical optimization processes.

English.

ISBN: 9780081005415 (electronic bk.)Subjects--Topical Terms:

530871
Product design.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TA405 / .J384 2016

Dewey Class. No.: 620.11

Multi-criteria decision analysis for supporting the selection of engineering materials in product design
LDR:03303cmm a2200349 a 4500 001 582244
006 o d
007 cnu|unuuu||
008 210121s2016 vtu ob 001 0 eng d
020 $a 9780081005415 (electronic bk.)
020 $a 0081005415 (electronic bk.)
020 $a 9780081005361
020 $a 0081005369
020 $a 9781299261860
020 $a 1299261868
020 $a 9780080993904
020 $a 0080993907
035 $a (OCoLC)940965830
035 $a EL2020164
040 $a N $b eng $c N $d YDXCP $d UIU $d OPELS $d ORE $d U3W $d OCLCF $d AU@ $d WYU $d UKMGB
041 0 $a eng
050 4 $a TA405 $b .J384 2016
082 0 4 $a 620.11 $2 23
100 1 $a Jahan, Ali, $e author. $3 872382
245 1 0 $a Multi-criteria decision analysis for supporting the selection of engineering materials in product design $h [electronic resource] / $c Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab.
250 $a Second edition.
260 $a Burlington : $b Butterworth-Heinemann is an imprint of Elsevier, $c 2016.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a 1 The importance of decision support in materials selection -- 2 Materials selection in the context of design problem-solving -- 3 Screening of materials -- 4 Multi-criteria decision-making for materials selection -- 5 Multi-attribute decision-making for ranking of candidate materials -- 6 Multiple objective decision-making for material and geometry design -- 7 Case studies of materials selection and design -- 8 Future developments.
520 $a Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material Provides a case study for simultaneous materials selection and geometrical optimization processes.
546 $a English.
588 0 $a Print version record.
650 0 $a Product design. $3 530871
650 0 $a Materials $x Decision making. $3 667621
650 0 $a Engineering. $3 210888
650 0 $a Strength of materials. $3 183295
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Edwards, Kevin L., $e author. $3 872383
700 1 $a Bahraminasab, Marjan, $e author. $3 872384
856 4 0 $u https://www.sciencedirect.com/science/book/9780081005361