Details
| Translated title of the contribution | Automatic configuration and optimization of material flow systems through cognitive logistics module |
|---|---|
| Original language | German |
| Title of host publication | VDI Berichte |
| Pages | 197-208 |
| Number of pages | 12 |
| Edition | 2066 |
| Publication status | Published - 2009 |
Publication series
| Name | VDI Berichte |
|---|---|
| Number | 2066 |
| ISSN (Print) | 0083-5560 |
Abstract
Shorter innovation cycles and a steadily increasing number of product variants lead to a trend towards transformable systems in production an transportation technology. In the future, material flow systems will have to adapt quickly and flexibly to new requirements. In this contribution, we present a concept which allows the automatic configuration and optimization of material flow systems by interconnecting logistics modules to form a cognitive logistic network. The behavior of the overall system results from the subsystems' local decisions. Using this approach, future material flow systems are supposed to better be able to adapt to changing requirements and to react to unexpected events than using a global planning strategy.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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VDI Berichte. 2066. ed. 2009. p. 197-208 (VDI Berichte; No. 2066).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Automatische Konfiguration und Optimierung von Materialflusssystemen durch Kognitive Logistikmodule
AU - Overmeyer, Ludger
AU - Heiserich, Gerd
AU - Falkenberg, Sascha
AU - Jungk, Andreas
PY - 2009
Y1 - 2009
N2 - Shorter innovation cycles and a steadily increasing number of product variants lead to a trend towards transformable systems in production an transportation technology. In the future, material flow systems will have to adapt quickly and flexibly to new requirements. In this contribution, we present a concept which allows the automatic configuration and optimization of material flow systems by interconnecting logistics modules to form a cognitive logistic network. The behavior of the overall system results from the subsystems' local decisions. Using this approach, future material flow systems are supposed to better be able to adapt to changing requirements and to react to unexpected events than using a global planning strategy.
AB - Shorter innovation cycles and a steadily increasing number of product variants lead to a trend towards transformable systems in production an transportation technology. In the future, material flow systems will have to adapt quickly and flexibly to new requirements. In this contribution, we present a concept which allows the automatic configuration and optimization of material flow systems by interconnecting logistics modules to form a cognitive logistic network. The behavior of the overall system results from the subsystems' local decisions. Using this approach, future material flow systems are supposed to better be able to adapt to changing requirements and to react to unexpected events than using a global planning strategy.
UR - http://www.scopus.com/inward/record.url?scp=67650555989&partnerID=8YFLogxK
M3 - Beitrag in Buch/Sammelwerk
AN - SCOPUS:67650555989
SN - 9783180920665
T3 - VDI Berichte
SP - 197
EP - 208
BT - VDI Berichte
ER -