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
Forecasting Next Generation Manufacturing = Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Forecasting Next Generation Manufacturing/ edited by Frank T. Piller, Verena Nitsch, Dirk Lüttgens, Alexander Mertens, Sebastian Pütz, Marc Van Dyck.
其他題名:
Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /
其他作者:
Van Dyck, Marc.
面頁冊數:
XIV, 158 p. 17 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Operations Management. -
電子資源:
https://doi.org/10.1007/978-3-031-07734-0
ISBN:
9783031077340
Forecasting Next Generation Manufacturing = Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /
Forecasting Next Generation Manufacturing
Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /[electronic resource] :edited by Frank T. Piller, Verena Nitsch, Dirk Lüttgens, Alexander Mertens, Sebastian Pütz, Marc Van Dyck. - 1st ed. 2022. - XIV, 158 p. 17 illus. in color.online resource. - Contributions to Management Science,2197-716X. - Contributions to Management Science,.
How Digital Shadows, New Forms of Human-Machine Collaboration, and Data-Driven Business Models Are Driving the Future of Industry 4.0: A Delphi Study -- Applying the Real-Time Delphi Method to Next Generation Manufacturing -- Big Picture of Next Generation Manufacturing -- Governance Structures in Next Generation Manufacturing -- Organization Routines in Next Generation Manufacturing -- Capability Configuration in Next Generation Manufacturing -- Interface Design in Next Generation Manufacturing -- Resilience Drivers in Next Generation Manufacturing -- Future Scenarios and the Most Probable Future for Next Generation Manufacturing -- Hybrid Intelligence in Next Generation Manufacturing: An Outlook on New Forms of Collaboration Between Human and Algorithmic Decision-Makers in the Factory of the Future.
Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.
ISBN: 9783031077340
Standard No.: 10.1007/978-3-031-07734-0doiSubjects--Topical Terms:
1069063
Operations Management.
LC Class. No.: TS155-194
Dewey Class. No.: 658.5
Forecasting Next Generation Manufacturing = Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /
LDR
:03701nam a22004095i 4500
001
1083668
003
DE-He213
005
20220825145710.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783031077340
$9
978-3-031-07734-0
024
7
$a
10.1007/978-3-031-07734-0
$2
doi
035
$a
978-3-031-07734-0
050
4
$a
TS155-194
072
7
$a
KJMV5
$2
bicssc
072
7
$a
BUS087000
$2
bisacsh
072
7
$a
KJMV5
$2
thema
082
0 4
$a
658.5
$2
23
245
1 0
$a
Forecasting Next Generation Manufacturing
$h
[electronic resource] :
$b
Digital Shadows, Human-Machine Collaboration, and Data-driven Business Models /
$c
edited by Frank T. Piller, Verena Nitsch, Dirk Lüttgens, Alexander Mertens, Sebastian Pütz, Marc Van Dyck.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
XIV, 158 p. 17 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
490
1
$a
Contributions to Management Science,
$x
2197-716X
505
0
$a
How Digital Shadows, New Forms of Human-Machine Collaboration, and Data-Driven Business Models Are Driving the Future of Industry 4.0: A Delphi Study -- Applying the Real-Time Delphi Method to Next Generation Manufacturing -- Big Picture of Next Generation Manufacturing -- Governance Structures in Next Generation Manufacturing -- Organization Routines in Next Generation Manufacturing -- Capability Configuration in Next Generation Manufacturing -- Interface Design in Next Generation Manufacturing -- Resilience Drivers in Next Generation Manufacturing -- Future Scenarios and the Most Probable Future for Next Generation Manufacturing -- Hybrid Intelligence in Next Generation Manufacturing: An Outlook on New Forms of Collaboration Between Human and Algorithmic Decision-Makers in the Factory of the Future.
520
$a
Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.
650
2 4
$a
Operations Management.
$3
1069063
650
2 4
$a
Internet of Things.
$3
1048478
650
1 4
$a
Production .
$3
1366810
650
0
$a
Internet of things.
$3
1023130
650
0
$a
Production management.
$3
566447
700
1
$a
Van Dyck, Marc.
$e
editor.
$1
https://orcid.org/0000-0001-5510-7946
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389751
700
1
$a
Pütz, Sebastian.
$e
editor.
$1
https://orcid.org/0000-0002-2948-3953
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389750
700
1
$a
Mertens, Alexander.
$e
editor.
$1
https://orcid.org/0000-0002-3703-0401
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389749
700
1
$a
Lüttgens, Dirk.
$e
editor.
$1
https://orcid.org/0000-0001-8153-735X
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389748
700
1
$a
Nitsch, Verena.
$e
editor.
$1
https://orcid.org/0000-0002-4784-1283
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389747
700
1
$a
Piller, Frank T.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1286278
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783031077333
776
0 8
$i
Printed edition:
$z
9783031077357
776
0 8
$i
Printed edition:
$z
9783031077364
830
0
$a
Contributions to Management Science,
$x
1431-1941
$3
1253929
856
4 0
$u
https://doi.org/10.1007/978-3-031-07734-0
912
$a
ZDB-2-BUM
912
$a
ZDB-2-SXBM
950
$a
Business and Management (SpringerNature-41169)
950
$a
Business and Management (R0) (SpringerNature-43719)
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