Details
Original language | English |
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Title of host publication | Information Science and Applications (ICISA) 2016 |
Editors | Kuinam J. Kim, Nikolai Joukov |
Place of Publication | Singapur |
Publisher | Springer Verlag |
Pages | 1213-1222 |
Number of pages | 10 |
ISBN (electronic) | 9789811005572 |
ISBN (print) | 9789811005565 |
Publication status | Published - 2016 |
Event | International Conference on Information Science and Applications, ICISA 2016 - Minh City, Viet Nam Duration: 15 Feb 2016 → 18 Feb 2016 |
Publication series
Name | Lecture Notes in Electrical Engineering |
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Volume | 376 |
ISSN (Print) | 1876-1100 |
ISSN (electronic) | 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.
Keywords
- Decision support, Multi-site construction, Predictive simulation
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
Cite this
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Information Science and Applications (ICISA) 2016. ed. / Kuinam J. Kim; Nikolai Joukov. Singapur: Springer Verlag, 2016. p. 1213-1222 (Lecture Notes in Electrical Engineering; Vol. 376).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Planning in dynamic, distributed and non-automatized production systems
AU - Becker, Matthias
AU - Lütjen, Michael
AU - Szczerbicka, Helena
N1 - Funding Information: This work was supported by the German Research Foundation (DFG) under grant no. SZ 51/28-1 (BauSim).
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Decision support
KW - Multi-site construction
KW - Predictive simulation
UR - http://www.scopus.com/inward/record.url?scp=84959090132&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-0557-2_115
DO - 10.1007/978-981-10-0557-2_115
M3 - Conference contribution
AN - SCOPUS:84959090132
SN - 9789811005565
T3 - Lecture Notes in Electrical Engineering
SP - 1213
EP - 1222
BT - Information Science and Applications (ICISA) 2016
A2 - Kim, Kuinam J.
A2 - Joukov, Nikolai
PB - Springer Verlag
CY - Singapur
T2 - International Conference on Information Science and Applications, ICISA 2016
Y2 - 15 February 2016 through 18 February 2016
ER -