International Journal of Scientific Research and Engineering Development

Traditional Andon systems in manufacturing environments primarily function as real-time visual alert mechanisms for production interruptions and downtime events. However, they lack intelligent analytical capabilities and proactive decision-support mechanisms required in modern smart manufacturing ecosystems.
This research proposes an AI-driven intelligent Andon system that integrates natural language processing, text-to-SQL query generation, and real-time production analytics to transform conventional reactive alert systems into intelligent recommendation platforms. The system enables users to interact through a chatbot interface, where the chatbot processes manufacturing questions and creates corresponding database queries for information retrieval, which are executed on a centralized production database. Results are dynamically presented in textual, tabular, or graphical formats to support rapid decision-making.
Beyond downtime monitoring, the proposed framework incorporates automated root cause analysis (RCA) by correlating production loss data with quality metrics, machine performance indicators, and materialrelated factors. By identifying recurring failure patterns and operational bottlenecks, the system generates actionable production recommendations to improve efficiency and reduce loss time.
The proposed approach enhances transparency, reduces manual reporting effort, and supports data-driven decision-making in smart manufacturing environments. The developed approach enables smarter production supervision through automated analysis, interactive querying, and intelligent operational recommendations.

Divya Shah, Shivani Budhkar, Abhishek Sharma, Shubham Gugale, Gaurav Patil,"AI-Driven Andon System for Smart Manufacturing Production Recommendations" International Journal of Scientific Research and Engineering Development, V9(3): Page(1059-1064) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.