Gunawan Musyaffa
Politeknik Negeri Jakarta

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Autonomous Smart Manufacturing Systems in the Era of Industry 5.0: A Systematic Review of AI-Driven Decision Intelligence and Industrial Optimization Ade Suhara; Dibyo Setiawan; Fathan Dewadi; Fisika Putra; Gunawan Musyaffa; Surotun Nabawiyah
JADI (Jurnal Teknik Industri) Vol. 2 No. 1 (2026): Smart Manufacturing
Publisher : indiepress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66865/xv9yr868

Abstract

The emergence of Industry 5.0 has accelerated the transformation of manufacturing industries toward autonomous, intelligent, and human-centric production systems. Smart manufacturing technologies increasingly integrate Artificial Intelligence (AI), Internet of Things (IoT), Digital Twin, and Cyber-Physical Systems (CPS) to support predictive decision-making and industrial optimization. This study aims to analyze the development of autonomous smart manufacturing systems through a systematic literature review approach. The review process followed the PRISMA methodology using publications indexed in Scopus, Web of Science, and Google Scholar from 2016–2026. The results indicate that AI-driven manufacturing systems significantly improve predictive maintenance, operational efficiency, production flexibility, and industrial sustainability. However, challenges related to cybersecurity, infrastructure readiness, implementation costs, and ethical AI governance remain significant barriers. This study concludes that autonomous smart manufacturing systems possess strong potential to support intelligent and sustainable industrial transformation in the Industry 5.0 era.