Patterns for Visual Management in Industry 4.0.

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.