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
AI for advanced manufacturing and industrial applications
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
AI for advanced manufacturing and industrial applications/ by Bidyut Sarkar, Rudrendu Kumar Paul.
作者:
Sarkar, Bidyut.
其他作者:
Paul, Rudrendu Kumar.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xx, 174 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Big Data. -
電子資源:
https://doi.org/10.1007/978-3-031-86091-1
ISBN:
9783031860911
AI for advanced manufacturing and industrial applications
Sarkar, Bidyut.
AI for advanced manufacturing and industrial applications
[electronic resource] /by Bidyut Sarkar, Rudrendu Kumar Paul. - Cham :Springer Nature Switzerland :2025. - xx, 174 p. :ill. (chiefly color), digital ;24 cm.
Introduction to AI in Manufacturing -- AI-Driven Manufacturing Processes -- AI and Advanced Analytics Applications -- Intelligent Supply Chains -- Implementation Challenges and Solutions -- AI Safety and Ethical Considerations -- The Road Ahead.
This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end. Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models. Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you're a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.
ISBN: 9783031860911
Standard No.: 10.1007/978-3-031-86091-1doiSubjects--Topical Terms:
1017136
Big Data.
LC Class. No.: TA347.A78
Dewey Class. No.: 670.28563
AI for advanced manufacturing and industrial applications
LDR
:02460nam a2200325 a 4500
001
1161578
003
DE-He213
005
20250407224331.0
006
m d
007
cr nn 008maaau
008
251029s2025 sz s 0 eng d
020
$a
9783031860911
$q
(electronic bk.)
020
$a
9783031860904
$q
(paper)
024
7
$a
10.1007/978-3-031-86091-1
$2
doi
035
$a
978-3-031-86091-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA347.A78
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
670.28563
$2
23
090
$a
TA347.A78
$b
S245 2025
100
1
$a
Sarkar, Bidyut.
$3
1488522
245
1 0
$a
AI for advanced manufacturing and industrial applications
$h
[electronic resource] /
$c
by Bidyut Sarkar, Rudrendu Kumar Paul.
260
$a
Cham :
$c
2025.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xx, 174 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
505
0
$a
Introduction to AI in Manufacturing -- AI-Driven Manufacturing Processes -- AI and Advanced Analytics Applications -- Intelligent Supply Chains -- Implementation Challenges and Solutions -- AI Safety and Ethical Considerations -- The Road Ahead.
520
$a
This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end. Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models. Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you're a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Industrial and Production Engineering.
$3
593943
650
1 4
$a
Artificial Intelligence.
$3
646849
650
0
$a
Manufacturing processes
$x
Automation.
$3
557423
650
0
$a
Artificial intelligence
$x
Industrial applications.
$3
796380
700
1
$a
Paul, Rudrendu Kumar.
$3
1488523
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-031-86091-1
950
$a
Mathematics and Statistics (SpringerNature-11649)
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