Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Control Systems: Applications

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...

Introduction to Statistical Process Control

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...

Open and closed-loop control systems

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

Mechanical Systems

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

In-party love spreads more efficiently than out-party hate in online communities.

Scientific reports·2024

Same author

Dynamics of a Quantum Common-Pool Resource Game with Homogeneous Players' Expectations.

Entropy (Basel, Switzerland)·2023

Same author

Socio-Technical Analysis of the Benefits and Barriers to Using a Digital Representation of the Global Horse Population in Equine Veterinary Medicine.

Animals : an open access journal from MDPI·2023

Same author

Complex Dynamics of a Cournot Quantum Duopoly Game with Memory and Heterogeneous Players.

Entropy (Basel, Switzerland)·2023

Same author

The Hurst Exponent as an Indicator to Anticipate Agricultural Commodity Prices.

Entropy (Basel, Switzerland)·2023

Same author

A Multi-Scale Entropy Approach to Study Collapse and Anomalous Diffusion in Shared Mobility Systems.

Entropy (Basel, Switzerland)·2022

Search research articles

Related Experiment Video

Updated: Oct 25, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Quantum JIDOKA. Integration of Quantum Simulation on a CNC Machine for In-Process Control Visualization.

Javier Villalba-Diez^1,2, Miguel Gutierrez³, Mercedes Grijalvo Martín³

¹Hochschule Heilbronn, Fakultät Management und Vertrieb, Campus Schwäbisch Hall, 74523 Schwäbisch Hall, Germany.

Sensors (Basel, Switzerland)

|August 10, 2021

Summary

Quantum digital twins enhance Industry 4.0 by simulating machine sensor networks. This quantum computing approach enables real-time malfunction detection using JIDOKA, improving manufacturing efficiency and reducing defects.

Keywords:

JIDOKA industry 4.0 quantum simulation shopfloor management

More Related Videos

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Related Experiment Videos

Last Updated: Oct 25, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Area of Science:

Manufacturing Technology
Quantum Computing
Artificial Intelligence

Background:

Industry 4.0 enables real-time manufacturing process monitoring via sensor networks.
Classical methods like Bayesian networks struggle with complex "uncertain knowledge" and computational time.
JIDOKA principles aim for real-time malfunction identification to minimize defects.

Purpose of the Study:

To investigate the hypothesis that quantum simulations can outperform classical decision networks for modeling CNC machine sensor networks.
To demonstrate the integration of quantum computing with Industry 4.0 through a quantum digital twin.
To enable real-time application of JIDOKA in manufacturing processes.

Main Methods:

Modeling the internal sensor network of a Computer Numerical Control (CNC) machine using quantum simulations.
Developing and implementing a quantum digital twin.
Comparing the computational performance against classical decision network models.

Main Results:

The quantum digital twin successfully simulated the intricate sensor network within a CNC machine.
The quantum simulation approach demonstrated superior computational performance compared to classical models.
Real-time application of JIDOKA was enabled within manufacturing processes.

Conclusions:

Quantum simulations offer a viable and high-performance alternative to classical methods for complex manufacturing process monitoring.
Quantum digital twins are a key integration point for quantum computing in Industry 4.0.
The developed quantum approach facilitates real-time malfunction detection and process control, aligning with JIDOKA principles.