Human-Robot Collaboration (HRC) in Automotive: SAP DM Orchestration of Cobot Work-Cells
DOI:
https://doi.org/10.58425/ajt.v4i4.466Keywords:
Human adaptability, digital manufacturing, orchestration in manufacturing, automotive, industry 4.0 and beyond, real-time data analytics, SAP Digital Manufacturing (DM)Abstract
Aim: The aim of this study is to develop and evaluate a digital framework for managing human robot collaboration work cells in automotive manufacturing using SAP Digital Manufacturing. The study seeks to improve workflow efficiency, safety, and productivity by integrating real time shop floor data, sensor inputs, and enterprise systems.
Methods: The study adopts a mixed methods approach that includes a literature review and system analysis of existing human robot collaboration practices and SAP Digital Manufacturing capabilities. A digital twin of a collaborative robot work cell is designed and simulated. The proposed framework is validated through both simulation and real-world experiments. Performance is assessed using task efficiency, safety compliance, and throughput metrics.
Results: The results show that implementing SAP Digital Manufacturing improves collaboration by assigning repetitive and precision-based tasks to collaborative robots while human operators focus on complex decision making. Task completion times improved by 20 to 30 percent, throughput increased by 10 to 15 percent, and idle time was significantly reduced. The dynamic tracking system contributed to a 15 to 25 percent reduction in safety incidents, and adaptive robot behavior increased operator trust.
Conclusion: The study concludes that ERP driven human robot collaboration supported by SAP Digital Manufacturing can significantly enhance efficiency, safety, and productivity in automotive manufacturing. The digital framework demonstrates practical value in coordinating human and robot activities within collaborative work cells.
Recommendations: The study recommends addressing coordination delays, user acceptance, and integration with legacy systems to enable wider adoption of human robot collaboration solutions. Future implementations should focus on change management, system interoperability, and continuous monitoring to support the transition toward Industry 5.0 in the automotive manufacturing sector.
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