AI-Driven Smart Manufacturing: Autonomous Material Planning, Intelligent Part Ranking, and Real-Time Delivery Tracking
Keywords:
.Abstract
This white paper presents a framework for smart manufacturing driven by the use of AI and MachineLearning for the optimization of the process of planning materials, managing delivery, andautomating cashflow. The objective is to ensure that cash is not immobilized in stagnant inventory while production is being sustained
References
• Monostori, L., Kádár, B., Bauernhansl, T., et al. Cyber-physical systems in manufacturing CIRP Annals – Manufacturing Technology, vol. 65, no. 2, pp. 621–641, 2016.
• Lee, J., Bagheri, B., & Kao, H. A. A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, vol. 3, pp. 18–23, 2015.
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Published
2023-04-21
How to Cite
Saichand Pasupuleti, Dr.Ashik Kumar. (2023). AI-Driven Smart Manufacturing: Autonomous Material Planning, Intelligent Part Ranking, and Real-Time Delivery Tracking. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2827–2845. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5290
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