Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. This approach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the importan...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wuest, Thorsten (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Industrial engineering.
Production engineering.
Computer-aided engineering.
Production management.
Computational intelligence.
Industrial and Production Engineering.
Computer-Aided Engineering (CAD, CAE) and Design.
Operations Management.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Developments of manufacturing systems with a focus on product and process quality
  • Current approaches with a focus on holistic information management in manufacturing
  • Development of the product state concept
  • Application of machine learning to identify state drivers
  • Application of SVM to identify relevant state drivers
  • Evaluation of the developed approach
  • Recapitulation.

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