語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Architecting A Knowledge-Based Platform for Design Engineering 4.0
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Architecting A Knowledge-Based Platform for Design Engineering 4.0/ by Zhenjun Ming, Anand Balu Nellippallil, Ru Wang, Janet K. Allen, Guoxin Wang, Yan Yan, Farrokh Mistree.
作者:
Ming, Zhenjun.
其他作者:
Mistree, Farrokh.
面頁冊數:
XVI, 241 p. 135 illus., 85 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Operations Research and Decision Theory. -
電子資源:
https://doi.org/10.1007/978-3-030-90521-7
ISBN:
9783030905217
Architecting A Knowledge-Based Platform for Design Engineering 4.0
Ming, Zhenjun.
Architecting A Knowledge-Based Platform for Design Engineering 4.0
[electronic resource] /by Zhenjun Ming, Anand Balu Nellippallil, Ru Wang, Janet K. Allen, Guoxin Wang, Yan Yan, Farrokh Mistree. - 1st ed. 2022. - XVI, 241 p. 135 illus., 85 illus. in color.online resource.
Frame of Reference -- Foundations for Design Decision Support in Model Based Realization of Complex Engineered Systems -- Ontology for Decision Support Problems Templates -- Ontology for Designing Decision Workflows -- PDSIDES: A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems -- Design of a Hot Rod Rolling System Using PDSIDES -- Conclduing Remarks.
"Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem “that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0." Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., "Design Engineering in the Age of Industry 4.0," ASME Journal of Mechanical Design, 143(7), 070801, 25 pages. In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service. Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0. This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.
ISBN: 9783030905217
Standard No.: 10.1007/978-3-030-90521-7doiSubjects--Topical Terms:
1366301
Operations Research and Decision Theory.
LC Class. No.: TA174
Dewey Class. No.: 620.0042
Architecting A Knowledge-Based Platform for Design Engineering 4.0
LDR
:04372nam a22003975i 4500
001
1094123
003
DE-He213
005
20220210124125.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030905217
$9
978-3-030-90521-7
024
7
$a
10.1007/978-3-030-90521-7
$2
doi
035
$a
978-3-030-90521-7
050
4
$a
TA174
072
7
$a
TBD
$2
bicssc
072
7
$a
TEC016020
$2
bisacsh
072
7
$a
TBD
$2
thema
082
0 4
$a
620.0042
$2
23
100
1
$a
Ming, Zhenjun.
$e
author.
$0
(orcid)0000-0001-6429-5889
$1
https://orcid.org/0000-0001-6429-5889
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1402209
245
1 0
$a
Architecting A Knowledge-Based Platform for Design Engineering 4.0
$h
[electronic resource] /
$c
by Zhenjun Ming, Anand Balu Nellippallil, Ru Wang, Janet K. Allen, Guoxin Wang, Yan Yan, Farrokh Mistree.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
XVI, 241 p. 135 illus., 85 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Frame of Reference -- Foundations for Design Decision Support in Model Based Realization of Complex Engineered Systems -- Ontology for Decision Support Problems Templates -- Ontology for Designing Decision Workflows -- PDSIDES: A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems -- Design of a Hot Rod Rolling System Using PDSIDES -- Conclduing Remarks.
520
$a
"Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem “that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0." Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., "Design Engineering in the Age of Industry 4.0," ASME Journal of Mechanical Design, 143(7), 070801, 25 pages. In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service. Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0. This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.
650
2 4
$a
Operations Research and Decision Theory.
$3
1366301
650
2 4
$a
Computer-Aided Engineering (CAD, CAE) and Design.
$3
669928
650
2 4
$a
Industrial and Production Engineering.
$3
593943
650
2 4
$a
Knowledge Based Systems.
$3
1365951
650
1 4
$a
Engineering Design.
$3
670857
650
0
$a
Operations research.
$3
573517
650
0
$a
Computer-aided engineering.
$3
560192
650
0
$a
Production engineering.
$3
566269
650
0
$a
Industrial engineering.
$3
679492
650
0
$a
Expert systems (Computer science).
$3
669964
650
0
$a
Engineering design.
$3
560518
700
1
$a
Mistree, Farrokh.
$e
author.
$1
https://orcid.org/0000-0001-6835-0902
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1321318
700
1
$a
Yan, Yan.
$e
author.
$1
https://orcid.org/0000-0001-8555-0156
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1402212
700
1
$a
Wang, Guoxin.
$e
author.
$1
https://orcid.org/0000-0003-2363-8595
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1402211
700
1
$a
Allen, Janet K.
$e
author.
$1
https://orcid.org/0000-0003-0686-6764
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1321316
700
1
$a
Wang, Ru.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1402210
700
1
$a
Nellippallil, Anand Balu.
$e
author.
$0
(orcid)0000-0003-1690-1324
$1
https://orcid.org/0000-0003-1690-1324
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1325198
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030905200
776
0 8
$i
Printed edition:
$z
9783030905224
776
0 8
$i
Printed edition:
$z
9783030905231
856
4 0
$u
https://doi.org/10.1007/978-3-030-90521-7
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入