# Toward industry 5.0: Challenges and enablers of intelligent manufacturing technology implementation under the perspective of sustainability

## TL;DR

This paper explores the challenges and enablers of adopting intelligent manufacturing technology in the context of sustainability, focusing on social, environmental, and economic factors.

## Contribution

The study identifies key challenges and enablers of intelligent manufacturing technology implementation using fuzzy-DEMETAL, AISM, and MICMAC analysis.

## Key findings

- Cost and funding are the most important challenges in implementing intelligent manufacturing technology.
- Improved social benefits and public service are the most important enablers for sustainable implementation.
- The study provides insights for decision-makers to enhance sustainable manufacturing development.

## Abstract

The advancement of intelligent manufacturing technology in the era of Industry 5.0 has propelled the intelligence and automation of manufacturing production, while also exerting a significant impact on sustainable development of the manufacturing industry. However, the challenges and enablers faced by the transformation of intelligent manufacturing technology in the context of sustainable development of Industry 5.0 are still unclear. Based on literature review and expert opinions, this study uses the Likert scale to determine the challenges and enablers of the implementation of intelligent manufacturing technology in social, environmental and economic sustainability. The fuzzy-DEMETAL and AISM are used to analyze the logical relationship and hierarchical relationship between the above factors, and the MICMAC matrix is used to determine the key influencing factors. The research conclusions show that the most important challenges affecting the implementation of intelligent manufacturing technology are cost and funding, and the most important enabler is social benefits and public service improved. This research will provide insights for industry practitioners and decision makers in the management and decision-making process of implementing the transformation and upgrading of manufacturing intelligent manufacturing, thereby enhancing the sustainability of manufacturing development.