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JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems

JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems

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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.

This book is included in DOAB.

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Keywords

  • complex networks
  • cyber-physical systems
  • deep learning
  • Digital twin
  • Directed Acyclic Graphs
  • Distributed Ledger Technology
  • EEG sensors
  • finite horizon
  • GDPR
  • healthy operator 4.0
  • History of engineering & technology
  • human–cyber–physical system
  • industrial internet of things
  • Industry 4.0
  • integration explaining variability
  • interoperability
  • JIDOKA
  • LASFA
  • lean management systems
  • Lean manufacturing
  • Machine learning
  • machine learning models
  • maintenance cost
  • maintenance interval
  • maintenance model
  • manufacturing systems
  • Operator 4.0
  • optimization
  • pipegraph
  • process variability
  • quantum approximate optimization algorithm
  • quantum circuits
  • quantum computing
  • quantum simulation
  • quantum strategic organizational design
  • RAMI 4.0
  • reference architecture model
  • right-censored data
  • scikit-learn
  • semi-Markov process
  • Shopfloor Management
  • smart workplaces
  • strategic organizational design
  • Technology, engineering, agriculture
  • Technology: general issues
  • value–stream networks

Links

DOI: 10.3390/books978-3-0365-3811-2

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