Study
Commercial ProductionNew This WeekStrong effect

Industry 5.0 adoption significantly boosts sustainable lean performance through IoT and AI.

Integrating IoT and AI for waste minimization are key drivers for enhancing sustainable lean performance during the transition to Industry 5.0.

Processes · 2025

01

Key Findings

  • 01IoT integration is positively associated with sustainable lean performance potential.
  • 02AI for waste minimization is positively associated with sustainable lean performance potential.
  • 03Predictive maintenance is positively associated with sustainable lean performance potential.
  • 04Human-centric technology design is positively associated with sustainable lean performance potential.
  • 05IoT integration and AI for waste minimization demonstrated the strongest positive effects.
02

Application

Design takeaway

When planning for Industry 5.0, focus on deploying IoT and AI solutions specifically aimed at reducing waste, as these offer the most significant improvements in sustainable lean performance.

How to apply

When designing or upgrading production systems for Industry 5.0, integrate IoT sensors for real-time monitoring and AI algorithms for waste prediction and reduction. Ensure these systems are designed with user needs in mind.

Project actions

  • 01When researching new manufacturing technologies, consider their impact on both efficiency and sustainability.
  • 02Focus on how specific technologies like IoT and AI can solve real-world problems like waste reduction.
03

Method & Evidence

AimTo investigate how technological and human-centered factors influence sustainable lean performance potential during the Industry 4.0 to Industry 5.0 transition.
MethodQuantitative survey and statistical analysis.
ProcedureA structured survey was administered to 128 manufacturing managers. Data on human-centric technology design, AI for waste minimization, predictive maintenance, and IoT integration were collected and analyzed using descriptive statistics, correlation, and regression analyses.
Sample128 participants
ContextManufacturing enterprises transitioning from Industry 4.0 to Industry 5.0.

Variables

IV["Human-centric technology design (HCTD)","Artificial intelligence for waste minimization (AIWM)","Predictive maintenance (PMAI)","IoT integration in production (IOTP)"]
DVSustainable lean performance potential (SLPP)
CVContext of Industry 4.0 to Industry 5.0 transition, manufacturing enterprises.
04

Strengths & Limitations

Strengths

  • +Investigates a timely and relevant topic (Industry 5.0 transition).
  • +Utilizes a combination of key technological factors.

Limitations

The study did not directly measure the transition process itself, but rather the factors influencing performance potential during it.

Reliability & validity

Reliability could be enhanced through larger sample sizes and diverse industry representation. Validity is supported by statistical analyses like correlation and regression, but the lack of direct measurement of the transition process might limit external validity.

Think critically

How might the 'human-centered' aspect of Industry 5.0 be further integrated with technological solutions to maximize sustainable lean performance, beyond the 'human-centric technology design' explored here?

05

Design Principles

"Leverage digital technologies, particularly IoT and AI, to achieve synergistic gains in both operational efficiency and environmental sustainability within evolving industrial paradigms."

As manufacturing evolves towards Industry 5.0, understanding the impact of digital technologies on sustainability and efficiency is crucial. This research provides actionable insights for organizations looking to optimize their production processes for both environmental responsibility and operational excellence.

06

What This Means for Your Design

Moving to Industry 5.0 makes factories more efficient and sustainable, especially when using smart technology like IoT and AI to cut down on waste.

How to use in your project

  • 1.Use the findings to justify the selection of specific technologies in your design project, highlighting their potential to improve sustainable lean performance.
  • 2.Reference the study when discussing the benefits of Industry 5.0 technologies in your design context.
07

Add to My Project

08

Quick Cite

(2025). Sustainable Lean Performance Potential Amidst the Transition Process from Industry 4.0 to Industry 5.0. Processes. https://doi.org/10.3390/pr13072073 Retrieved from https://designdex.org/study/68102316-44e9-473a-a06f-5cefc8435b54/industry-5-0-adoption-significantly-boosts-sustainable-lean-performance-through-iot-and-ai

Paragraph starter

This research indicates that the transition to Industry 5.0 offers significant potential for enhancing sustainable lean performance, with IoT integration and AI for waste minimization identified as particularly impactful drivers. These findings suggest that prioritizing these technologies in design projects aimed at modernizing manufacturing processes can lead to substantial improvements in both operational efficiency and environmental responsibility.

09

Source

Processes

Sustainable Lean Performance Potential Amidst the Transition Process from Industry 4.0 to Industry 5.0

journal · 2025

View source

Questions about this research

What does the research say about industry 5.0 adoption significantly boosts sustainable lean performance through iot and ai?
When planning for Industry 5.0, focus on deploying IoT and AI solutions specifically aimed at reducing waste, as these offer the most significant improvements in sustainable lean performance. Evidence: Processes (2025).
Why does "Industry 5.0 adoption significantly boosts sustainable lean performance through IoT and AI." matter for design?
As manufacturing evolves towards Industry 5.0, understanding the impact of digital technologies on sustainability and efficiency is crucial. This research provides actionable insights for organizations looking to optimize their production processes for both environmental responsibility and operational excellence.
How can designers apply this research?
When planning for Industry 5.0, focus on deploying IoT and AI solutions specifically aimed at reducing waste, as these offer the most significant improvements in sustainable lean performance.
What were the main findings?
IoT integration is positively associated with sustainable lean performance potential.. AI for waste minimization is positively associated with sustainable lean performance potential.. Predictive maintenance is positively associated with sustainable lean performance potential.. Human-centric technology design is positively associated with sustainable lean performance potential.
What research method was used?
Quantitative survey and statistical analysis. with 128 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Processes.
What should I do differently in my next project?
When designing or upgrading production systems for Industry 5.0, integrate IoT sensors for real-time monitoring and AI algorithms for waste prediction and reduction. Ensure these systems are designed with user needs in mind.
What are the limitations?
The direct relationship between sustainable lean performance potential and the Industry 5.0 transition was not statistically analyzed.
Is there evidence that sustainable lean affects design outcomes?
The study found that implementing IoT and AI for waste reduction are the most effective strategies for improving sustainable lean performance as companies move towards Industry 5.0, with predictive maintenance and human-centric design also contributing positively. As manufacturing evolves towards Industry 5.0, understa Source: Processes (2025).
Where does this lean performance research apply?
Manufacturing enterprises transitioning from Industry 4.0 to Industry 5.0. It sits within commercial production research on designdex.org.

Related research topics

sustainable lean design research · evidence on sustainable lean · does sustainable lean improve design outcomes · lean performance studies for designers · sustainable lean and lean performance findings · commercial production research evidence