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Developments of Manufacturing Systems with a Focus on Product and Process Quality

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

Part of the book series: Springer Theses ((Springer Theses))

Abstract

In this section MS as well as recent developments in the area of holistic IM and related topics will be presented. Furthermore, certain basic aspects of manufacturing, MS and related areas are described in detail in order to allow readers to familiarize themselves with the fundamental terms and definitions used throughout this dissertation. In each subsection, concluding paragraphs summarize how the described topic is relevant to the research and putting it in perspective. Main principles and how they are utilized throughout this dissertation is summarized there.

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Notes

  1. 1.

    The content of this section has been partly published in accordance with Universität Bremen (2007) in Wuest and Thoben (2012).

  2. 2.

    The content of this section has been partly published in accordance with Universität Bremen (2007) in Wuest et al. (2013)

  3. 3.

    The content of this section has been partly published in accordance with Universität Bremen (2007) in Wuest et al. (2014).

  4. 4.

    www.actionplant-project.eu/public/documents/vision.pdf (retrieved Feb. 12, 2014).

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  1. Department of ICT Applications for Production, BIBA—Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany

    Thorsten Wuest

  2. Department of Production Engineering, University of Bremen, Bremen, Germany

    Thorsten Wuest

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Wuest, T. (2015). Developments of Manufacturing Systems with a Focus on Product and Process Quality. In: Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-17611-6_2

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