Enhancing Manufacturing Efficiency through the Integration of RPA and Power Automate with Camstar MES

Authors

  • Satish Kumar Nalluri Sr Developer. Life Sciences, Thermo Fisher Scientific, Inc., Frederick, Marland, USA - 20148
  • Varun Teja Bathini MES Functional Analyst, Penumbra, Inc., Alameda, California, USA

Keywords:

MES(Manufacturing Execution Systems), Camstar, Analysis, research, Digital Manufacturing

Abstract

The integration of Robotic Process Automation (RPA) and Microsoft Power Automate with Siemens’ Camstar Manufacturing Execution System (MES) is transforming manufacturing workflows by streamlining operations, enhancing productivity, and reducing operational costs. This study investigates the impact of this integration on manufacturing efficiency, cost savings, and scalability. A mixed-methods approach is employed, combining qualitative case studies and quantitative performance metrics analysis from various industries. The research demonstrates that the integration of RPA and Power Automate with Camstar MES improves data accuracy, reduces manual intervention, and accelerates production processes. Results from case studies indicate significant cost savings, enhanced system scalability, and improved decision-making due to real-time data analytics. While the integration presents challenges, such as system compatibility and employee training, the benefits of streamlined workflows and operational agility outweigh these obstacles. This paper concludes with recommendations for manufacturers seeking to adopt automation technologies, emphasizing the need for careful planning, stakeholder engagement, and continuous monitoring to ensure successful implementation. By adopting RPA and Power Automate, manufacturers can achieve a more agile, efficient, and cost-effective production environment.

References

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Published

2025-06-07

How to Cite

Satish Kumar Nalluri, & Varun Teja Bathini. (2025). Enhancing Manufacturing Efficiency through the Integration of RPA and Power Automate with Camstar MES. American Scientific Research Journal for Engineering, Technology, and Sciences, 102(1), 118–133. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/11701

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Section

Articles