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From Science to Society pp 225–236Cite as

Application of Methods of Artificial Intelligence for Sustainable Production of Manufacturing Companies

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Part of the book series: Progress in IS ((PROIS))

Abstract

An energy- and resource-friendly production is an important key performance indicator for industrial companies to work economically and thus remain competitive. For this software systems are necessary for analysis, evaluation, diagnosis and planning. Thanks to intensive research efforts in the field of artificial intelligence (AI) a number of AI based techniques such as machine learning, deep learning and artificial neural networks (ANN) have already been established in industry, business and society. In this paper, we address the problem of energy- and resource efficiency in production processes of manufacturing companies. We present an approach to improve energy- and resource efficiency by methods of AI. We propose an in-progress idea to extend the possibilities of using methods of AI for optimizing material and energy flows. In addition to processing the process data, an integrated database of measures is designed to support sustainable production. The investigations are carried out prototypically using an ANN in combination with fuzzy logic and evolutionary algorithms (EA).

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Author information

Authors and Affiliations

  1. HTW Berlin, Department Engineering-Technology and Life, Environmental Informatics, Wilhelminenhofstraße 75A, 12459, Berlin, Germany

    Martina Willenbacher, Christian Kunisch & Volker Wohlgemuth

Authors
  1. Martina Willenbacher
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  2. Christian Kunisch
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  3. Volker Wohlgemuth
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Corresponding author

Correspondence to Volker Wohlgemuth .

Editor information

Editors and Affiliations

  1. Environmental Research and Innovation, Luxembourg Institute of Science and Technology, Esch/Alzette, Luxembourg

    Benoît Otjacques

  2. Environmental Research and Innovation, Luxembourg Institute of Science and Technology, Esch/Alzette, Luxembourg

    Patrik Hitzelberger

  3. Institut für Softwaresysteme in Wirtschaft, Umwelt und Verwaltung, Hochschule Trier - Umwelt-Campus Birkenfeld, Birkenfeld , Germany

    Stefan Naumann

  4. Environmental Informatics, University of Applied Sciences, Berlin, Germany

    Volker Wohlgemuth

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Willenbacher, M., Kunisch, C., Wohlgemuth, V. (2018). Application of Methods of Artificial Intelligence for Sustainable Production of Manufacturing Companies. In: Otjacques, B., Hitzelberger, P., Naumann, S., Wohlgemuth, V. (eds) From Science to Society. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-65687-8_20

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