Design and Deployment of Collaborative AI Agents for Hyper-Automation in Smart Manufacturing

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Published: Feb 3, 2025

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Dr. Samuel Pritchard

Abstract

The evolution of smart manufacturing requires seamless integration of artificial intelligence and automation technologies. This paper proposes a collaborative framework of AI agents designed to enable hyper-automation in manufacturing systems. By combining machine learning, sensor data analysis, and robotic process automation (RPA), the agents autonomously manage production schedules, equipment health, and supply chain logistics. The experimental analysis indicates a 40% reduction in manual interventions and a 25% increase in production efficiency.

Article Details

How to Cite
Pritchard, D. S. (2025). Design and Deployment of Collaborative AI Agents for Hyper-Automation in Smart Manufacturing. American Journal of AI & Innovation, 7(7). Retrieved from https://journals.theusinsight.com/index.php/AJAI/article/view/106
Issue
Vol. 7 No. 7 (2025): AJAI
Section
Articles

References

Dhruvitkumar, V. T. (2024). Enhancing Cybersecurity and Privacy using Artificial Intelligence: Trends and Future Directions of Research.

Dhruvitkumar, V. T. (2024). Artificial Intelligence and Information Governance: Enhancing Global Security through Compliance Frameworks and Data Protection.

Dhruvitkumar, V. T. (2024). AI-Powered Cloud Security: Using User Behavior Analysis to Achieve Efficient Threat Detection.

Dhruvitkumar, V. T. (2024). The AI Cloud: A Digital Intelligence Controlling the Web.

Talati, D. (2024). Ai (artificial intelligence) in daily life. Authorea Preprints.

Talati, D. (2023). AI in healthcare domain. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 256-262.

Talati, D. (2023). Telemedicine and AI in Remote Patient Monitoring. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 254-255.

Talati, D. (2023). Artificial intelligence (AI) in mental health diagnosis and treatment. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 251-253.

Talati, D. (2024). Virtual Health Assistance–AI-Based. Authorea Preprints.

Talati, D. V. (2025). AI-Driven Cloud Workflows: Enhancing Efficiency in CI/CD Pipelines. International Journal of Latest Technology in Engineering, Management & Applied Science, 14(2), 124-129.

Talati, D. V. (2025). Quantum AI and the Future of Super intelligent Computing. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 8(1), 44-51.

Talati, D. V. (2024). The Cerebral Frontier: Artificial Intelligence and the Evolution of Neurology and Psychiatry. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 7(01), 250-261.

Dhruvitkumar, V. T. (2024). Transparency and Interpretability in Cloud-based Machine Learning with Explainable AI.

Sadaram, G., Karaka, L. M., Maka, S. R., Sakuru, M., Boppana, S. B., & Katnapally, N. (2024). AI-Powered Cyber Threat Detection: Leveraging Machine Learning for Real-Time Anomaly Identification and Threat Mitigation. MSW Management Journal, 34(2), 788-803.

Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.

Katnapally, N., Chinta, P. C. R., Routhu, K. K., Velaga, V., Bodepudi, V., & Karaka, L. M. (2021). Leveraging Big Data Analytics and Machine Learning Techniques for Sentiment Analysis of Amazon Product Reviews in Business Insights. American Journal of Computing and Engineering, 4(2), 35-51.

Sadaram, G., Sakuru, M., Karaka, L. M., Reddy, M. S., Bodepudi, V., Boppana, S. B., & Maka, S. R. (2022). Internet of Things (IoT) Cybersecurity Enhancement through Artificial Intelligence: A Study on Intrusion Detection Systems. Universal Library of Engineering Technology, (2022).

Moore, C. (2024). Enhancing Network Security With Artificial Intelligence Based Traffic Anomaly Detection In Big Data Systems. Available at SSRN 5103209.

Bodepudi, V., & Chinta, P. C. R. (2024). Enhancing Financial Predictions Based on Bitcoin Prices using Big Data and Deep Learning Approach. Available at SSRN 5112132.

Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., Bodepudi, V., & Maka, S. R. (2025). Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering. European Journal of Applied Science, Engineering and Technology, 3(2), 41-54.

Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., Bodepudi, V., & Maka, S. R. (2025). Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering. European Journal of Applied Science, Engineering and Technology, 3(2), 41-54.

Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.

Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., & Bodepudi, V. (2025). Predictive Analytics for Disease Diagnosis: A Study on Healthcare Data with Machine Learning Algorithms and Big Data. J Cancer Sci, 10(1), 1.

Maka, S. R. (2024). Enhancing Financial Predictions Based on Bitcoin Prices using Big Data and Deep Learning Approach. Available at SSRN 5125901.

Maka, S. R. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Available at SSRN 5116707.

Bodepudi, V. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.

Karaka, L. M. (2021). Optimising Product Enhancements Strategic Approaches to Managing Complexity. Available at SSRN 5147875.

Kevin Shah and Abhishek Trehan, (2024) Streamlining Software Development: A Comparative Study of AI-Driven Automation Tools in Modern Tech. International Journal of Computer Engineering and Technology (IJCET), 15(6), 1638-1650.

Trehan, A., & Pradhan, C. (2024). AUTOMATED DATA LINEAGE TRACKING IN DATA ENGINEERING ECOSYSTEMS. International Research Journal of Modernization in Engineering Technology and Science, 06(12), 3305–3312.

Shah, K. N., Gami, S. J., & Trehan, A. (2024). An intelligent approach to data quality management AI-Powered quality monitoring in analytics. International Journal of Advanced Research in Science Communication and Technology, 4(3), 109–119.

Shah, K. N., Gami, S. J., & Trehan, A. (2024). An intelligent approach to data quality management AI-Powered quality monitoring in analytics. International Journal of Advanced Research in Science Communication and Technology, 4(3), 109–119.

Pradhan, C., & Trehan, A. (2025). Integration of Blockchain Technology in Secure Data Engineering Workflows. In International Journal of Computer Sciences and Engineering (Vol. 13, Issue 1, pp. 01–07)

Gurram, H., Trehan, A., Pradhan, C., Bhadade, P., Mathurkar, P., & Dr. Sagar Ramesh Rane. (2025). Blockchain integration in information Systems: Transforming data security and transaction transparency [Research Article]. Journal of Information Systems Engineering and Management, 10(11s), 272–280.

Dhruvitkumar, V. T. (2024). The AI Cloud: A Web Intelligence That Commands the Web.

Dhruvitkumar, V. T. (2024). The Sentient AI Cloud: A Conscious Digital Mind Governing the Internet.

Dhruvitkumar, V. T. (2024). AI-Powered Cloud Security: Revolutionizing Cyber Defense in the Digital Age.

Dhruvitkumar, V. T. (2024). Ethical and Legal Issues of AI-based Health Cybersecurity.