PREDICTIVE QUALITY MANAGEMENT USING SAP QM AND MACHINE LEARNING

Nirmala Parixit Patel; Elayaraja Subbaiah

PREDICTIVE QUALITY MANAGEMENT USING SAP QM AND MACHINE LEARNING

Authors

Nirmala Parixit Patel

Solution Architect, NTT DATA, .

Elayaraja Subbaiah

Cloud Solution Architect, .

Keywords:

Predictive Quality Management, SAP QM, Machine Learning, Industry 4.0, Defect Prediction

Synopsis

This paper examines the integration of SAP Quality Management (QM) systems and machine learning (ML) for predictive quality management in modern industrial environments. It highlights how SAP QM enables real-time quality control, while ML techniques analyze large datasets to identify patterns and predict potential defects. The review synthesizes existing literature to identify key themes such as transformation of quality assurance models, implementation challenges, and the need for interdisciplinary collaboration. Despite notable advancements, gaps remain in model standardization, user feedback integration, and organizational readiness. The study also discusses the evolving role of predictive quality management within the context of Industry 4.0 and digital transformation. Finally, a conceptual framework is proposed to guide future research and practical implementation in enhancing product quality and operational efficiency.

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