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Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry

Buergin, Jens 1; Helming, Sina 1; Andreas, Jan 1; Blaettchen, Philippe 1; Schweizer, Yannick 1; Bitte, Frank; Haefner, Benjamin 1; Lanza, Gisela 1
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract:

Multi-variant products to be assembled on mixed-model assembly lines at locations within a production network need to be scheduled locally. Scheduling is a highly complex task especially if it simultaneously covers the assignment of orders, which are product variants to be assembled within a production period, to assembly lines as well as their sequencing on the lines. However, this is required if workers can flexibly fulfill tasks across stations of several lines and, thus, capacity of workers is shared among the lines. As this is the case for final assembly of the Airbus A320 Family, this paper introduces an optimization model for local order scheduling for mixed-model assembly lines covering both assignment to lines as well as sequencing. The model integrates the planning approaches mixed-model sequencing and level scheduling in order to minimize work overload in final assembly and to level material demand with regard to suppliers. The presented model is validated in the industrial application of the final assembly of the Airbus A320 Family. The results demonstrate significant improvement in terms of less work overload and a more even material demand compared to current planning.


Verlagsausgabe §
DOI: 10.5445/IR/1000129757
Veröffentlicht am 16.02.2021
Originalveröffentlichung
DOI: 10.1007/s11740-018-0852-x
Scopus
Zitationen: 12
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2018
Sprache Englisch
Identifikator ISSN: 0944-6524, 1863-7353
KITopen-ID: 1000129757
Erschienen in Production Engineering
Verlag Springer
Band 12
Heft 6
Seiten 759–767
Vorab online veröffentlicht am 01.10.2018
Nachgewiesen in Dimensions
Scopus
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