AI in Quality Management

Abstract

This study utilizes the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology to thoroughly examine the scope of artificial intelligence (AI) applications in quality management between 1994 and 2024. The main areas of emphasis are the quality of business processes and how it affects both the quality of life and the quality of business results. An extensive search and selection procedure was conducted to identify a wide range of studies that cover many sectors and disciplines. The review encompasses influential publications, spanning from Gupta's pioneering investigation of AI as a scholarly field in 1994 to current research examining Quality 4.0 efforts and the incorporation of AI in several industries. Several key issues were identified, including the impact of artificial intelligence on the quality of decision-making, quality assurance in healthcare and education, and novel approaches to enhancing quality improvement.