Artificial intelligence and statistics for quality technology: an introduction to the special issue

Bianca Maria Colosimo, Enrique del Castillo, L. Allison Jones-Farmer, Kamran Paynabar

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)443-453
Number of pages11
JournalJournal of Quality Technology
Volume53
Issue number5
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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