AI and ML in SAP Manufacturing Supply Chains: Enabling Predictive Quality and Process Control

Amitabh Harivansh Bachchan

doi:10.15662/IJRAI.2023.0606003

Authors

Amitabh Harivansh Bachchan Department of Master of Computer Applications, JNN College of Engineering, Shivamogga, India Author

DOI:

https://doi.org/10.15662/IJRAI.2023.0606003

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), SAP Digital Manufacturing Cloud (DMC), Predictive Quality, Process Control, Manufacturing Supply Chains, Intelligent Automation, Predictive Maintenance, Quality Management Systems, Operational Efficiency

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into SAP systems has revolutionized predictive quality and process control within manufacturing supply chains. In 2022, SAP introduced advanced AI-driven solutions, such as SAP Digital Manufacturing Cloud (DMC) and SAP Business AI, to enhance operational efficiency and product quality. These innovations leverage real-time data analytics, predictive maintenance, and intelligent automation to optimize production processes. For instance, AI-powered quality management systems enable early detection of defects, reducing inspection costs and ensuring consistent product standards. Additionally, ML algorithms analyze historical data to predict equipment failures, allowing for proactive maintenance and minimizing downtime. The adoption of these technologies has led to significant improvements in manufacturing agility, compliance, and customer satisfaction. This paper explores the impact of AI and ML on SAP manufacturing supply chains, focusing on predictive quality and process control, and discusses future directions for these technologies.

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