Research on Intelligent Decision-Making Model for Automotive Production Planning Based on Big Data and Artificial Intelligence
DOI:
https://doi.org/10.71222/af8ycw44Keywords:
artificial intelligence, automotive production planning, big data, scheduling optimization, smart manufacturing, Industry 4.0Abstract
This study proposes an intelligent decision-making model for automotive production planning, utilizing big data and artificial intelligence (AI) to optimize production scheduling. The AI-based framework dynamically adapts to production fluctuations, such as changes in production cycle time, resource availability, and order demand, by adjusting schedules based on real-time data. The sensitivity analysis demonstrates that the framework significantly improves key performance indicators, including throughput, equipment utilization, and average delay, outperforming traditional ERP systems. The research highlights the potential of this AI-driven approach to enhance smart manufacturing, offering a scalable, flexible solution for production environments characterized by uncertainty and variability. This study contributes to advancing production planning by integrating AI and big data, showcasing their value in improving efficiency and adaptability in automotive manufacturing.
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