Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 493-496 |
| Seitenumfang | 4 |
| Fachzeitschrift | CIRP Annals - Manufacturing Technology |
| Jahrgang | 59 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 15 Apr. 2010 |
| Extern publiziert | Ja |
Abstract
Cyclically interlinked production systems are commonly used production facilities. During the bidding phase manufacturers of these systems assure customers about the performance and operating efficiency despite numerous uncertainties. Up to now, there has been no planning approach that could hedge these results. Recently however, a method for configuring cyclically interlinked production systems during the bidding phase has been developed in order to resolve this deficit. Data mining models are built to predict performance figures of production systems, whereas, characteristic curves are used to predict the operating efficiency of a system configuration. This paper introduces the challenge of bid proposal management and explains the developed method.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Maschinenbau
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: CIRP Annals - Manufacturing Technology, Jahrgang 59, Nr. 1, 15.04.2010, S. 493-496.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Data mining based configuration of cyclically interlinked production systems
AU - Overmeyer, Ludger
AU - Dreyer, Jens
AU - Altmann, Dirk
N1 - Funding information: Parts of the research described in this paper were devised within the project “Methode zur Planung komplexer, produktions technischer Anlagen mit zyklischer Verkettung”, funded by the German Research Council (DFG) . Those involved in the realisation of the project include the IPH – Institute of Integrated Production Hannover GmbH as well as the Institute for Manufacturing Automation and Production Systems at Friedrich-Alexander-University in Erlangen-Nuremberg.
PY - 2010/4/15
Y1 - 2010/4/15
N2 - Cyclically interlinked production systems are commonly used production facilities. During the bidding phase manufacturers of these systems assure customers about the performance and operating efficiency despite numerous uncertainties. Up to now, there has been no planning approach that could hedge these results. Recently however, a method for configuring cyclically interlinked production systems during the bidding phase has been developed in order to resolve this deficit. Data mining models are built to predict performance figures of production systems, whereas, characteristic curves are used to predict the operating efficiency of a system configuration. This paper introduces the challenge of bid proposal management and explains the developed method.
AB - Cyclically interlinked production systems are commonly used production facilities. During the bidding phase manufacturers of these systems assure customers about the performance and operating efficiency despite numerous uncertainties. Up to now, there has been no planning approach that could hedge these results. Recently however, a method for configuring cyclically interlinked production systems during the bidding phase has been developed in order to resolve this deficit. Data mining models are built to predict performance figures of production systems, whereas, characteristic curves are used to predict the operating efficiency of a system configuration. This paper introduces the challenge of bid proposal management and explains the developed method.
KW - Planning
KW - Production
KW - System
UR - http://www.scopus.com/inward/record.url?scp=77955337827&partnerID=8YFLogxK
U2 - 10.1016/j.cirp.2010.03.081
DO - 10.1016/j.cirp.2010.03.081
M3 - Article
AN - SCOPUS:77955337827
VL - 59
SP - 493
EP - 496
JO - CIRP Annals - Manufacturing Technology
JF - CIRP Annals - Manufacturing Technology
SN - 0007-8506
IS - 1
ER -