語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
New paradigm of industry 4.0Internet...
~
Patnaik, Srikanta.
New paradigm of industry 4.0Internet of things, big data & cyber physical systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
New paradigm of industry 4.0edited by Srikanta Patnaik.
其他題名:
Internet of things, big data & cyber physical systems /
其他作者:
Patnaik, Srikanta.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xi, 180 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Industrial organization (Economic theory)
電子資源:
https://doi.org/10.1007/978-3-030-25778-1
ISBN:
9783030257781$q(electronic bk.)
New paradigm of industry 4.0Internet of things, big data & cyber physical systems /
New paradigm of industry 4.0
Internet of things, big data & cyber physical systems /[electronic resource] :edited by Srikanta Patnaik. - Cham :Springer International Publishing :2020. - xi, 180 p. :ill., digital ;24 cm. - Studies in big data,v.642197-6503 ;. - Studies in big data ;v.1..
Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- Imparting Industry 4.0 Education using Open Source Tools: A Case -- Decision support framework for smart implementation of green supply chain management practices -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach -- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.
The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.
ISBN: 9783030257781$q(electronic bk.)
Standard No.: 10.1007/978-3-030-25778-1doiSubjects--Topical Terms:
182858
Industrial organization (Economic theory)
LC Class. No.: HD2326 / .N48 2020
Dewey Class. No.: 338.6
New paradigm of industry 4.0Internet of things, big data & cyber physical systems /
LDR
:02566nmm a2200337 a 4500
001
593221
003
DE-He213
005
20200704160257.0
006
m d
007
cr nn 008maaau
008
210727s2020 sz s 0 eng d
020
$a
9783030257781$q(electronic bk.)
020
$a
9783030257774$q(paper)
024
7
$a
10.1007/978-3-030-25778-1
$2
doi
035
$a
978-3-030-25778-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HD2326
$b
.N48 2020
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
338.6
$2
23
090
$a
HD2326
$b
.N532 2020
245
0 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.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xi, 180 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in big data,
$x
2197-6503 ;
$v
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
0
$a
Industrial organization (Economic theory)
$3
182858
650
0
$a
Industries
$x
Technological innovations
$y
21st century.
$3
831421
650
0
$a
Internet of things.
$3
670954
650
0
$a
Big data.
$3
609582
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Big Data.
$3
760530
700
1
$a
Patnaik, Srikanta.
$3
278789
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Studies in big data ;
$v
v.1.
$3
675357
856
4 0
$u
https://doi.org/10.1007/978-3-030-25778-1
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000193211
電子館藏
1圖書
電子書
EB HD2326 .N532 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-25778-1
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入