Quality 4.0-the challenging future of quality engineering

• Published in: Quality engineering Vol. 32; no. 4; pp. 614 - 626
• Main Authors: Zonnenshain, Avigdor, Kenett, Ron S.
• Format: Journal Article
• Language: English
• Published: Milwaukee Taylor & Francis 01-10-2020; Taylor & Francis Ltd
• Subjects: Business competition; Computer simulation; data driven; Engineering profession; evidence based; fourth industrial revolution; Global marketing; health monitoring; Industry 4.0; information quality; Innovations; Inspection; integrated quality management; Leadership; maturity assessment; modeling and simulation; Quality assurance; Quality management; Reliability engineering
• ISSN: 0898-2112; 1532-4222
• DOI: 10.1080/08982112.2019.1706744

Quality is a crucial dimension of products and processes. It is considered a competitive advantage for companies and organizations in the global market. Quality models and practices went through several evolutionary steps during modern history-from inspection to control, to quality assurance, to quality management and quality by design. These quality models follow the evolutions and revolutions in industry. It seems however, that in the last few years the quality discipline went into stagnation-very few innovative models for quality are being proposed and quality professionals in companies and organization have apparently lost their leadership positions. Also, the research for new and innovative quality models is scarce. The fourth industrial revolution is an opportunity for the quality movement to become a leading force. This poses significant challenges to the quality profession by emphasizing the need to adapt to technology innovations, to modern data analytics and to the entrepreneurships ecosystem that characterize an era of the fourth industrial revolution. In this paper, we present a framework for a quality discipline supporting the fourth industrial revolution. We propose to call it Quality 4.0. The paper also offers future directions for quality and reliability engineering that leverage opportunities derived from the fourth industrial revolution. Specifically, we discuss: (1) Quality as a data driven discipline, (2) the application of modeling and simulation for evidence-based quality engineering, (3) health monitoring and prognostics for quality, (4) integrated quality management, (5) maturity levels with respect to the fourth industrial revolution, (6) integrating innovation with quality and managing for innovation, (7) Quality 4.0 and data science, (8) integrating reliability engineering with quality engineering, and finally, (9) information quality. We are aware that these directions are still not a comprehensive picture of Quality 4.0. We claim however, that they constitute a substantial basis to update the body of knowledge and practices of the quality profession.