Artificial intelligence and statistics for quality technology: an introduction to the special issue. Issue 5 (20th October 2021)

• Record Type: Journal Article
• Authors: Colosimo, Bianca Maria; del Castillo, Enrique; Jones-Farmer, L. Allison; Paynabar, Kamran
• Is Part Of: Journal of quality technology. Volume 53:Issue 5(2021)
• Page Start: 443
• Page End: 453
• Publication Date: 2021-10-20
• Subjects: Artificial intelligence -- design of experiments -- machine learning -- quality technology -- statistical process monitoring; Quality control -- Periodicals; Qualité -- Contrôle -- Périodiques; Quality control; Quality control; Periodicals; 620.0045
• DOI: 10.1080/00224065.2021.1987806
• Languages: English
• ISSNs: 0022-4065

Abstract

Abstract: In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality technology is gaining growing attention. AI refers to the broad set of techniques which replicate human cognitive and analytical skills for problem solving, including Machine Learning, Neural Networks and Deep Learning. This paper presents a brief introduction to the special issue, where AI-based solutions are presented to solve problems that are typically faced in the area of quality technology. Limits and advantages of AI-based solutions are briefly discussed to stimulate creative attention to novel solutions and new directions for future research.