📅 30 January 2024
DOI: 10.61132/iconfes.v2i1.16
Ai-Driven Predictive Maintenance For Industrial Machinery In Indonesian Manufacturing Sectors
Proceeding of the International Conferences on Engineering Sciences
Asosiasi Riset Ilmu Teknik Indonesia (ARITEKIN)
📄 Abstract
This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.
🔖 Keywords
#Predictive maintenance; AI; machine learning; industrial machinery; manufacturing; Indonesia
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 January 2024
Volume / Nomor / Tahun
Volume 2, Nomor 1, Tahun 2024
📝 HOW TO CITE
Enrico Dini; Patricia Ricard; Sophie Roux, "Ai-Driven Predictive Maintenance For Industrial Machinery In Indonesian Manufacturing Sectors," Proceeding of the International Conferences on Engineering Sciences, vol. 2, no. 1, Jan. 2024.
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