An Integrated MCDA Framework for Prioritising Emerging Technologies in the Transition from Industry 4.0 to Industry 5.0

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Abstract

Featured Application: The proposed framework supports companies in prioritizing technologies during the transition from Industry 4.0 to 5.0, aiding strategic decisions from economic, organizational, and technological perspectives. As industrial companies transition from the Industry 4.0 stage to the more human-centric and resilient Industry 5.0 paradigm, there is a growing need for structured assessment tools to prioritize modern technologies. This paper presents an integrated multi-criteria decision analysis (MCDA) approach to support the strategic assessment of technologies from three complementary perspectives: economic, organizational, and technological. The proposed model encompasses six key transformation areas and 22 technologies representing both the Industry 4.0 and 5.0 paradigms. A hybrid approach combining the DEMATEL (Decision-Making Trial and Evaluation Laboratory) and PROMETHEE II (Preference Ranking Organization Method for Enrichment Evaluation) methods is used to identify cause–effect relationships between the transformation areas and to construct technology rankings in each of the assessed perspectives. The results indicate that technologies such as the Internet of Things (IoT), cybersecurity, and supporting IT systems play a central role in the transition process. Among the Industry 5.0 technologies, hyper-personalized manufacturing, smart grids and new materials stand out. Moreover, the economic perspective emerges as the dominant assessment dimension for most technologies. The proposed analytical framework offers both theoretical input and practical decision-making support for companies planning their transformation towards Industry 5.0, enabling a stronger alignment between implemented technologies and long-term strategic goals.

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APA

Torbacki, W. (2025). An Integrated MCDA Framework for Prioritising Emerging Technologies in the Transition from Industry 4.0 to Industry 5.0. Applied Sciences (Switzerland), 15(15). https://doi.org/10.3390/app15158168

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