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All Journal KOLEGIAL : Jurnal Manajemen, Bisnis, dan Akuntansi Management Studies and Entrepreneurship Journal (MSEJ) BUDGETING : Journal of Business, Management and Accounting West Science Business and Management Science Information System and Technology
Yahya, Lucky Mahesa
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Journal : Science Information System and Technology

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Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Yahya, Lucky Mahesa; Suharni, Suharni; Hidayat, Deddy; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Co-Authors Annisa, Nola Nurma Arnes Yuli Vandika Auliya, Yuka Amarasri Firdaus, Riska Maharani Hasanah, Ainilla Hidayat, Deddy Hutasuhut, Nadra Nadila Intan Intan LAUNTU, ANSIR Marzhanda, Yola Mudasetia, Mudasetia Sri Hastutik Sudarmanto, Eko Suharni Suharni Wahyudin Rahman, Wahyudin