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

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. Curren...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jahan, Ali [verfasserIn] Edwards, Kevin L. [verfasserIn] Bahraminasab, Marjan [verfasserIn]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Burlington: Butterworth-Heinemann is an imprint of Elsevier ; 2016
Ausgabe:	Second edition

Schlagwörter:	Materials, Decision making Product design Engineering Strength of materials TECHNOLOGY & ENGINEERING ; Material Science
Formangabe:	Electronic books

Anmerkung:	Includes bibliographical references and index. - Print version record
Umfang:	Online Ressource

Reproduktion:	Online-Ausg.

Links:	Link aufrufen Link aufrufen Link aufrufen Volltext Inhaltsverzeichnis
ISBN:	978-0-08-100541-5 0-08-100541-5

Katalog-ID:	1655284975

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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
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Indexfelder

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allfields	9780081005415 978-0-08-100541-5 0081005415 0-08-100541-5 0081005369 9780081005361 (DE-627)1655284975 (DE-576)517982641 (DE-599)BSZ517982641 (OCoLC)940965830 (OCoLC)940965830 (EBP)003084124 (ELSEVIER)ocn940965830 DE-627 ger DE-627 rakwb eng TA405 TEC021000 bisacsh TEC 021000 bisacsh TEC 021000 bisacsh Multi-criteria decision analysis for supporting the selection of engineering materials in product design Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab Second edition Burlington Butterworth-Heinemann is an imprint of Elsevier 2016 Online Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Includes bibliographical references and index. - Print version record 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 Online-Ausg. English Materials Decision making Product design Engineering Strength of materials Strength of materials Engineering Product design Materials Decision making TECHNOLOGY & ENGINEERING ; Material Science Engineering Product design Strength of materials Electronic books Electronic books Jahan, Ali verfasserin aut Edwards, Kevin L. verfasserin aut Bahraminasab, Marjan verfasserin aut 0081005369 Erscheint auch als Druck-Ausgabe Jahan, Ali Multi-criteria decision analysis for supporting the selection of engineering materials in... product design https://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780080993867 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag Volltext http://www.gbv.de/dms/bowker/toc/9780081005361.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis (DE-627)879391936 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom-BL ZDB-33-EGE 2016 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 620.11 105 01 0841 4074406217 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4499994780 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451472999X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540277006 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520360838 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046055758 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780080993867 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780081005361 185 01 3519 http://www.sciencedirect.com/science/book/9780080993867 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780081005361 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780081005361 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780081005361 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
spelling	9780081005415 978-0-08-100541-5 0081005415 0-08-100541-5 0081005369 9780081005361 (DE-627)1655284975 (DE-576)517982641 (DE-599)BSZ517982641 (OCoLC)940965830 (OCoLC)940965830 (EBP)003084124 (ELSEVIER)ocn940965830 DE-627 ger DE-627 rakwb eng TA405 TEC021000 bisacsh TEC 021000 bisacsh TEC 021000 bisacsh Multi-criteria decision analysis for supporting the selection of engineering materials in product design Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab Second edition Burlington Butterworth-Heinemann is an imprint of Elsevier 2016 Online Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Includes bibliographical references and index. - Print version record 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 Online-Ausg. English Materials Decision making Product design Engineering Strength of materials Strength of materials Engineering Product design Materials Decision making TECHNOLOGY & ENGINEERING ; Material Science Engineering Product design Strength of materials Electronic books Electronic books Jahan, Ali verfasserin aut Edwards, Kevin L. verfasserin aut Bahraminasab, Marjan verfasserin aut 0081005369 Erscheint auch als Druck-Ausgabe Jahan, Ali Multi-criteria decision analysis for supporting the selection of engineering materials in... product design https://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780080993867 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag Volltext http://www.gbv.de/dms/bowker/toc/9780081005361.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis (DE-627)879391936 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom-BL ZDB-33-EGE 2016 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 620.11 105 01 0841 4074406217 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4499994780 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451472999X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540277006 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520360838 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046055758 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780080993867 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780081005361 185 01 3519 http://www.sciencedirect.com/science/book/9780080993867 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780081005361 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780081005361 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780081005361 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
allfields_unstemmed	9780081005415 978-0-08-100541-5 0081005415 0-08-100541-5 0081005369 9780081005361 (DE-627)1655284975 (DE-576)517982641 (DE-599)BSZ517982641 (OCoLC)940965830 (OCoLC)940965830 (EBP)003084124 (ELSEVIER)ocn940965830 DE-627 ger DE-627 rakwb eng TA405 TEC021000 bisacsh TEC 021000 bisacsh TEC 021000 bisacsh Multi-criteria decision analysis for supporting the selection of engineering materials in product design Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab Second edition Burlington Butterworth-Heinemann is an imprint of Elsevier 2016 Online Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Includes bibliographical references and index. - Print version record 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 Online-Ausg. English Materials Decision making Product design Engineering Strength of materials Strength of materials Engineering Product design Materials Decision making TECHNOLOGY & ENGINEERING ; Material Science Engineering Product design Strength of materials Electronic books Electronic books Jahan, Ali verfasserin aut Edwards, Kevin L. verfasserin aut Bahraminasab, Marjan verfasserin aut 0081005369 Erscheint auch als Druck-Ausgabe Jahan, Ali Multi-criteria decision analysis for supporting the selection of engineering materials in... product design https://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780080993867 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag Volltext http://www.gbv.de/dms/bowker/toc/9780081005361.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis (DE-627)879391936 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom-BL ZDB-33-EGE 2016 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 620.11 105 01 0841 4074406217 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4499994780 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451472999X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540277006 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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allfieldsGer	9780081005415 978-0-08-100541-5 0081005415 0-08-100541-5 0081005369 9780081005361 (DE-627)1655284975 (DE-576)517982641 (DE-599)BSZ517982641 (OCoLC)940965830 (OCoLC)940965830 (EBP)003084124 (ELSEVIER)ocn940965830 DE-627 ger DE-627 rakwb eng TA405 TEC021000 bisacsh TEC 021000 bisacsh TEC 021000 bisacsh Multi-criteria decision analysis for supporting the selection of engineering materials in product design Ali Jahan, Kevin L. Edwards, Marjan Bahraminasab Second edition Burlington Butterworth-Heinemann is an imprint of Elsevier 2016 Online Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Includes bibliographical references and index. - Print version record 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 Online-Ausg. English Materials Decision making Product design Engineering Strength of materials Strength of materials Engineering Product design Materials Decision making TECHNOLOGY & ENGINEERING ; Material Science Engineering Product design Strength of materials Electronic books Electronic books Jahan, Ali verfasserin aut Edwards, Kevin L. verfasserin aut Bahraminasab, Marjan verfasserin aut 0081005369 Erscheint auch als Druck-Ausgabe Jahan, Ali Multi-criteria decision analysis for supporting the selection of engineering materials in... product design https://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780080993867 X:ELSEVIER Verlag lizenzpflichtig http://www.sciencedirect.com/science/book/9780081005361 X:ELSEVIER Verlag Volltext http://www.gbv.de/dms/bowker/toc/9780081005361.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis (DE-627)879391936 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom-BL ZDB-33-EGE 2016 ZDB-33-EBS ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 GBV ExPruef BO 045F 620.11 105 01 0841 4074406217 OLR-ELV-TEST Vervielfältigungen (z.B. 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Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520360838 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046055758 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780080993867 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780081005361 185 01 3519 http://www.sciencedirect.com/science/book/9780080993867 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780081005361 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780081005361 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780081005361 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier
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Edwards, Marjan Bahraminasab Second edition Burlington Butterworth-Heinemann is an imprint of Elsevier 2016 Online Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Includes bibliographical references and index. - Print version record 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 Online-Ausg. 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abstract	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 Includes bibliographical references and index. - Print version record
abstractGer	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 Includes bibliographical references and index. - Print version record
abstract_unstemmed	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 Includes bibliographical references and index. - Print version record
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title_short	Multi-criteria decision analysis for supporting the selection of engineering materials in product design
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fulltext	Preface The Importance of Decision Support in Materials Selection Materials Selection in the Context of Design Problem Solving Screening of Materials Multi-criteria Decision Making for Materials Selection Multi-attribute Decision Making for Ranking of Candidate Materials Multiple Objective Decision-Making for Material and Geometry Design Case Studies of Materials Selection and Design Future Developments Index
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