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Planning in Dynamic, Distributed and Non-automatized Production Systems

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Information Science and Applications (ICISA) 2016

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 376))

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Abstract

We present a framework for realization of a decentralized decision support system for deployment in production scenarios with a low level of automation, such as in multi-site construction. Furthermore we present the insights concerning the improvements of the production process when applying online simulation based optimization methods in that scenarios. Our solution shows how to realize a central control and decision support station with special focus on easy connection to the possible multiple construction sites and on high usability for nonexperts. Our framework is able to connect to a large number of modeling, simulation and analysis tools. For sake of usability it turned out, that only dialogue-based communication with the end user seems applicable in those scenarios, where often only simple devices are present.

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Author information

Authors and Affiliations

  1. Modeling and Simulation Group, University Hannover, Welfengarten 1, 30167, Hannover, Germany

    Matthias Becker & Helena Szczerbicka

  2. BIBA, Bremer Institute of Production and Logistics, University of Bremen, 28359, Bremen, Germany

    Michael Lütjen

Authors
  1. Matthias Becker
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  2. Michael Lütjen
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  3. Helena Szczerbicka
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Corresponding author

Correspondence to Matthias Becker .

Editor information

Editors and Affiliations

  1. Kyonggi University, iCatse Kyonggi University, Seongnam-si, Kyonggi-do, Korea (Republic of)

    Kuinam J. Kim

  2. Chair of IEEE CS STCOS, IBM T.J.Watson Research Center Chair of IEEE CS STCOS, Yorktown Heights, New York, USA

    Nikolai Joukov

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Becker, M., Lütjen, M., Szczerbicka, H. (2016). Planning in Dynamic, Distributed and Non-automatized Production Systems. In: Kim, K., Joukov, N. (eds) Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-10-0557-2_115

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  • DOI: https://doi.org/10.1007/978-981-10-0557-2_115

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0556-5

  • Online ISBN: 978-981-10-0557-2

  • eBook Packages: EngineeringEngineering (R0)

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