•  
  •  
 

Keywords

Autonomous systems, Bio-neural interfaces, Decision support systems, Decision intelligence, Explainable AI, Human-machine interaction, Industrial revolutions, Neuromorphic computing, Sustainable manufacturing

Article Type

Review Article

Abstract

Industrial revolutions have continually redefined how production systems sense, decide, and act. However, much of the literature remains concentrated on Industry 4.0, offering limited insight into the Decision Support Systems required for the emerging paradigms of Industries 5.0, 6.0, and 7.0. This survey traces the progressive evolution of decision intelligence across these stages, examining both computational foundations and socio-ethical dimensions. In Industry 4.0, decision-making is guided by rule-based automation and data-driven analytics. Industry 5.0 introduces human-centric frameworks that emphasize explainability, fairness, and collaborative intelligence. Industry 6.0 integrates biological, cognitive, and computational feedback, demanding systems that adapt to neural and physiological signals. Looking ahead, Industry 7.0 envisions self-organizing, anticipatory ecosystems where Natural Organic Artificial Intelligence systems (NOAI-systems) enable self-sustaining decision-making in autonomous systems aligned with environmental and societal dynamics. The survey identifies enabling paradigms such as machine learning, explainable AI, quantum optimization, neuromorphic computing, and bio-neural interfaces. It explores the risks emerging from diminishing human oversight, including transparency, cognitive safety, and value alignment. A maturity model and comparative matrix are presented to illustrate the shift in decision models, human roles, system adaptability, and industrial contexts. Ultimately, this study emphasizes that the future of decision support is not merely a technological challenge but a systemic transformation. Advancing toward resilient and ethically aligned industrial ecosystems requires cross-disciplinary collaboration spanning computer science, engineering, ethics, neuroscience, sustainability, and public policy.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Download

Share

COinS