Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

350
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...
350
Interpreting R Charts01:22

Interpreting R Charts

143
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
143
Interpreting Run Charts01:25

Interpreting Run Charts

2.9K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
2.9K
Steel Manufacturing01:26

Steel Manufacturing

902
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
902
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

175
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...
175
Control Systems: Applications01:25

Control Systems: Applications

859
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...
859

You might also read

Related Articles

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

Sort by
Same author

A New Method Based on Locally Optimal Step Length in Accelerated Gradient Descent for Quantum State Tomography.

Sensors (Basel, Switzerland)·2024
Same author

Research design and writing of scholarly articles: new artificial intelligence tools available for researchers.

Endocrine·2024
Same author

A novel approach based on rough set theory for analyzing information disorder.

Applied intelligence (Dordrecht, Netherlands)·2022
Same author

Toward reliable machine learning with <i>Congruity</i>: a quality measure based on formal concept analysis.

Neural computing & applications·2022
Same author

A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion:: An analysis of COVID-19 in Italy.

Applied intelligence (Dordrecht, Netherlands)·2021
Same author

A comprehensive model and computational methods to improve Situation Awareness in Intelligence scenarios.

Applied intelligence (Dordrecht, Netherlands)·2021
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Oct 17, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.6K

Patterns for Visual Management in Industry 4.0.

Giuseppe Fenza1, Vincenzo Loia1, Giancarlo Nota1

  • 1Dipartimento di Scienze Aziendali-Management & Innovation Systems (DISA-MIS), University of Salerno, 84084 Fisciano, Italy.

Sensors (Basel, Switzerland)
|October 13, 2021
PubMed
Summary
This summary is machine-generated.

Industry 4.0 technologies enhance Visual Management in manufacturing by inspiring new software tools and improving existing ones. This research presents visual patterns for better planning, control, and decision-making in discrete manufacturing.

Keywords:
Industry 4.0human-computer interactionvisual managementvisual patterns

More Related Videos

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.4K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.8K

Related Experiment Videos

Last Updated: Oct 17, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.6K
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.4K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.8K

Area of Science:

  • Industrial Engineering
  • Manufacturing Systems
  • Human-Computer Interaction

Background:

  • Visual Management (VM) principles offer potential for enhancing manufacturing operations.
  • Industry 4.0 technologies present new avenues for digitalizing and optimizing VM.
  • Integrating VM with Industry 4.0 can address challenges in discrete manufacturing.

Purpose of the Study:

  • To explore the synergistic relationship between Visual Management theory and Industry 4.0 technologies.
  • To propose a methodology for designing effective visual software tools for manufacturing.
  • To present novel visual patterns for improving planning, control, and decision-making in discrete manufacturing.

Main Methods:

  • Literature review on Visual Management and Industry 4.0.
  • Development of a methodology for designing visual patterns.
  • Presentation and discussion of four practical visual patterns for manufacturing.

Main Results:

  • Industry 4.0 enhances VM through new software tools and improved human-computer interaction.
  • A methodology for designing visual patterns tailored to manufacturing needs is proposed.
  • Four visual patterns are introduced to address common discrete manufacturing challenges.

Conclusions:

  • The integration of Industry 4.0 and Visual Management can significantly improve manufacturing processes.
  • The proposed visual patterns support enhanced problem-solving, decision-making, and employee engagement.
  • This research contributes to more effective human-computer interaction and management functions in Industry 4.0 environments.