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
New Paradigm of Industry 4.0 = Inter...
~
SpringerLink (Online service)
New Paradigm of Industry 4.0 = Internet of Things, Big Data & Cyber Physical Systems /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
New Paradigm of Industry 4.0/ edited by Srikanta Patnaik.
其他題名:
Internet of Things, Big Data & Cyber Physical Systems /
其他作者:
Patnaik, Srikanta.
面頁冊數:
XI, 180 p.online resource. :
Contained By:
Springer Nature eBook
標題:
Big Data. -
電子資源:
https://doi.org/10.1007/978-3-030-25778-1
ISBN:
9783030257781
New Paradigm of Industry 4.0 = Internet of Things, Big Data & Cyber Physical Systems /
New Paradigm of Industry 4.0
Internet of Things, Big Data & Cyber Physical Systems /[electronic resource] :edited by Srikanta Patnaik. - 1st ed. 2020. - XI, 180 p.online resource. - Studies in Big Data,642197-6503 ;. - Studies in Big Data,8.
Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- Imparting Industry 4.0 Education using Open Source Tools: A Case -- Decision support framework for smart implementation of green supply chain management practices -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach -- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.
The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.
ISBN: 9783030257781
Standard No.: 10.1007/978-3-030-25778-1doiSubjects--Topical Terms:
1017136
Big Data.
LC Class. No.: Q342
Dewey Class. No.: 006.3
New Paradigm of Industry 4.0 = Internet of Things, Big Data & Cyber Physical Systems /
LDR
:02921nam a22004095i 4500
001
1019829
003
DE-He213
005
20200704160257.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030257781
$9
978-3-030-25778-1
024
7
$a
10.1007/978-3-030-25778-1
$2
doi
035
$a
978-3-030-25778-1
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
245
1 0
$a
New Paradigm of Industry 4.0
$h
[electronic resource] :
$b
Internet of Things, Big Data & Cyber Physical Systems /
$c
edited by Srikanta Patnaik.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XI, 180 p.
$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
Studies in Big Data,
$x
2197-6503 ;
$v
64
505
0
$a
Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- Imparting Industry 4.0 Education using Open Source Tools: A Case -- Decision support framework for smart implementation of green supply chain management practices -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach -- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.
520
$a
The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Artificial Intelligence.
$3
646849
650
1 4
$a
Computational Intelligence.
$3
768837
650
0
$a
Big data.
$3
981821
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Computational intelligence.
$3
568984
700
1
$a
Patnaik, Srikanta.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
890691
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030257774
776
0 8
$i
Printed edition:
$z
9783030257798
776
0 8
$i
Printed edition:
$z
9783030257804
830
0
$a
Studies in Big Data,
$x
2197-6503 ;
$v
8
$3
1256918
856
4 0
$u
https://doi.org/10.1007/978-3-030-25778-1
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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