Planning in dynamic, distributed and non-automatized production systems

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Matthias Becker
  • Michael Lütjen
  • Helena Szczerbicka

Externe Organisationen

  • Universität Bremen
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksInformation Science and Applications (ICISA) 2016
Herausgeber/-innenKuinam J. Kim, Nikolai Joukov
ErscheinungsortSingapur
Herausgeber (Verlag)Springer Verlag
Seiten1213-1222
Seitenumfang10
ISBN (elektronisch)9789811005572
ISBN (Print)9789811005565
PublikationsstatusVeröffentlicht - 2016
VeranstaltungInternational Conference on Information Science and Applications, ICISA 2016 - Minh City, Vietnam
Dauer: 15 Feb. 201618 Feb. 2016

Publikationsreihe

NameLecture Notes in Electrical Engineering
Band376
ISSN (Print)1876-1100
ISSN (elektronisch)1876-1119

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.

ASJC Scopus Sachgebiete

Zitieren

Planning in dynamic, distributed and non-automatized production systems. / Becker, Matthias; Lütjen, Michael; Szczerbicka, Helena.
Information Science and Applications (ICISA) 2016. Hrsg. / Kuinam J. Kim; Nikolai Joukov. Singapur: Springer Verlag, 2016. S. 1213-1222 (Lecture Notes in Electrical Engineering; Band 376).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Becker, M, Lütjen, M & Szczerbicka, H 2016, Planning in dynamic, distributed and non-automatized production systems. in KJ Kim & N Joukov (Hrsg.), Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, Bd. 376, Springer Verlag, Singapur, S. 1213-1222, International Conference on Information Science and Applications, ICISA 2016, Minh City, Vietnam, 15 Feb. 2016. https://doi.org/10.1007/978-981-10-0557-2_115
Becker, M., Lütjen, M., & Szczerbicka, H. (2016). Planning in dynamic, distributed and non-automatized production systems. In K. J. Kim, & N. Joukov (Hrsg.), Information Science and Applications (ICISA) 2016 (S. 1213-1222). (Lecture Notes in Electrical Engineering; Band 376). Springer Verlag. https://doi.org/10.1007/978-981-10-0557-2_115
Becker M, Lütjen M, Szczerbicka H. Planning in dynamic, distributed and non-automatized production systems. in Kim KJ, Joukov N, Hrsg., Information Science and Applications (ICISA) 2016. Singapur: Springer Verlag. 2016. S. 1213-1222. (Lecture Notes in Electrical Engineering). Epub 2016 Feb 16. doi: 10.1007/978-981-10-0557-2_115
Becker, Matthias ; Lütjen, Michael ; Szczerbicka, Helena. / Planning in dynamic, distributed and non-automatized production systems. Information Science and Applications (ICISA) 2016. Hrsg. / Kuinam J. Kim ; Nikolai Joukov. Singapur : Springer Verlag, 2016. S. 1213-1222 (Lecture Notes in Electrical Engineering).
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title = "Planning in dynamic, distributed and non-automatized production systems",
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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Download

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