articleProduction & Manufacturing ResearchJan 1, 2016GOLD OA

Machine learning in manufacturing: advantages, challenges, and applications

West Virginia University · Bremer Institut für Produktion und Logistik GmbH · +2 more institutions

Indexed incrossrefdoaj

Abstract

The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means available. One area, which saw fast pace developments in terms of not only promising results but also usability, is machine learning. Promising an answer to many of the old and new challenges of manufacturing, machine learning is widely discussed by researchers and practitioners alike. However, the field is very broad and even confusing which presents a challenge and a barrier hindering wide application. Here, this paper contributes in presenting an overview of available…

Citation impact

1,245
total citations
FWCI
56.49
Percentile
100%
References
109
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Pace
  • Structuring
  • Field (mathematics)
  • Quality (philosophy)
  • Usability
  • Artificial intelligence
  • Risk analysis (engineering)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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