|
|
|
|
LEADER |
03605nma a2200937 u 4500 |
001 |
EB002043592 |
003 |
EBX01000000000000001187258 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
220822 ||| eng |
020 |
|
|
|a 9783036538112
|
020 |
|
|
|a books978-3-0365-3811-2
|
020 |
|
|
|a 9783036538129
|
100 |
1 |
|
|a Villalba-Diez, Javier
|
245 |
0 |
0 |
|a JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems
|h Elektronische Ressource
|
260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
|
300 |
|
|
|a 1 electronic resource (188 p.)
|
653 |
|
|
|a maintenance interval
|
653 |
|
|
|a quantum approximate optimization algorithm
|
653 |
|
|
|a machine learning
|
653 |
|
|
|a cyber-physical systems
|
653 |
|
|
|a Industry 4.0
|
653 |
|
|
|a industrial internet of things
|
653 |
|
|
|a smart workplaces
|
653 |
|
|
|a human–cyber–physical system
|
653 |
|
|
|a maintenance model
|
653 |
|
|
|a Lean Manufacturing
|
653 |
|
|
|a deep learning
|
653 |
|
|
|a lean management systems
|
653 |
|
|
|a strategic organizational design
|
653 |
|
|
|a digital twin
|
653 |
|
|
|a scikit-learn
|
653 |
|
|
|a History of engineering & technology / bicssc
|
653 |
|
|
|a integration explaining variability
|
653 |
|
|
|a manufacturing systems
|
653 |
|
|
|a quantum simulation
|
653 |
|
|
|a Technology: general issues / bicssc
|
653 |
|
|
|a Operator 4.0
|
653 |
|
|
|a GDPR
|
653 |
|
|
|a quantum circuits
|
653 |
|
|
|a EEG sensors
|
653 |
|
|
|a complex networks
|
653 |
|
|
|a value–stream networks
|
653 |
|
|
|a pipegraph
|
653 |
|
|
|a Directed Acyclic Graphs
|
653 |
|
|
|a quantum computing
|
653 |
|
|
|a machine learning models
|
653 |
|
|
|a finite horizon
|
653 |
|
|
|a JIDOKA
|
653 |
|
|
|a maintenance cost
|
653 |
|
|
|a semi-Markov process
|
653 |
|
|
|a quantum strategic organizational design
|
653 |
|
|
|a distributed ledger technology
|
653 |
|
|
|a healthy operator 4.0
|
653 |
|
|
|a process variability
|
653 |
|
|
|a interoperability
|
653 |
|
|
|a LASFA
|
653 |
|
|
|a Cyber-Physical Systems
|
653 |
|
|
|a reference architecture model
|
653 |
|
|
|a right-censored data
|
653 |
|
|
|a industry 4.0
|
653 |
|
|
|a optimization
|
653 |
|
|
|a shopfloor management
|
653 |
|
|
|a RAMI 4.0
|
700 |
1 |
|
|a Ordieres Meré, Joaquin
|
700 |
1 |
|
|a Villalba-Diez, Javier
|
700 |
1 |
|
|a Ordieres Meré, Joaquin
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
024 |
8 |
|
|a 10.3390/books978-3-0365-3811-2
|
856 |
4 |
0 |
|u https://directory.doabooks.org/handle/20.500.12854/80997
|3 Volltext
|
082 |
0 |
|
|a 720
|
082 |
0 |
|
|a 900
|
082 |
0 |
|
|a 610
|
082 |
0 |
|
|a 140
|
082 |
0 |
|
|a 700
|
082 |
0 |
|
|a 600
|
082 |
0 |
|
|a 620
|
082 |
0 |
|
|a 330
|
520 |
|
|
|a This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration.
|